nosrat riahinia

The aerospace industry and technology are always considered one of the country’s most important and valuable industries. The research area of "Aerospace" is among the priorities of the grand science and technology development strategies, and addressing it is strategically vital. The present research aims to estimate and predict the appropriate algorithm for identifying high-quality aerospace researchers based on Advanced Ensemble Classifier Techniques (AECT) in data mining on the outputs of scientometric analyses and predicting the most essential scientometric-related metrics to identify high-quality researchers. The present study was performed using the protocols of applied research and multiple methods. The studied population includes all aerospace researchers (1945 and 2021) indexed in "The Web of Science Core Collection (WOSCC)". DataLab software and multiple programming languages have been applied in this research. All three algorithms have an accuracy of 0.96 and an F1-score of 0.97, which indicates that the models have high accuracy, validity, sensitivity, and predictive power. The "Blending" algorithm is considered a suitable and predictive model. The output of the LightGBM algorithm is that the most important and robust metric in the evaluation of prominent researchers is a metric from the researchers' effectiveness dimension, the Q parameter. According to the knowledge obtained from the ability to predict AECT in the prediction of high-quality researchers, it is possible to use the metrics mentioned in the evaluation of researchers in the field of scientometrics for more accurate and comprehensive prediction. An algorithm that can lead to the optimal and efficient classification of researchers provides the possibility of in-depth analysis of the available data about researchers and smooths the predictive power of the most high-quality researcher. The use of the proposed algorithms in this research, while suggesting the appropriate algorithm, led to reliable and valuable knowledge in classifying high-quality aerospace researchers.

The purpose of the current research is to identify the subject trends in the co-citation network of prominent documents in the field of nuclear science and technology worldwide. Analyzing various scientific fields can assist researchers in understanding the limits and boundaries of science. Furthermore, mapping and analyzing the structure of science can serve as a guide for researchers and policymakers in different scientific fields to identify research priorities and tailor them to the specific needs of their country.

The current research is practical in terms of purpose. Initially, Scientometrics techniques were utilized to analyze the subject area of nuclear science and technology. Subsequently, the results from the Scientometrics segment of the research were scrutinized through interviews with subject matter experts. The statistical population of the research included all the documents published in the core collection of the science website in the field of nuclear science and technology (342,425 documents) for the quantitative part. For the analysis and creation of a scientific map, notable articles in the field of nuclear science and technology (40,835 articles) that received over 25 citations from 1972 to 2021 were considered. In the qualitative part of the research, a panel of 13 experts specializing in this field was formed. Citespace software was employed to analyze and create co-citation maps of notable documents in the field of nuclear science and technology. To examine the evolution in the field of nuclear science and technology from 1972 to 2021, a 50-year timeframe was divided into five ten-year intervals. Subsequently, the top 50 nodes' threshold for each of the 10-year time frames was selected using the trial-and-error method. 

The results of the research showed that among the 205 countries participating in the production of articles in the field of nuclear science and technology, the United States of America produced 84,359 scientific papers. The magazine Nuclear Instruments Methods in Physics Research Section Accelerators, Spectrometers, Detectors, and Associated Equipment produced 46,547 articles. Scientifically, the United States of America Energy Agency ranked first by producing 33,943 scientific degrees. The subject area of nuclear science technology, with 336,489 scientific degrees, is considered a pioneer in the production of scientific degrees in this field. The co-citation network of documents in global dimensions formed 57 thematic clusters. The results of the co-citation analysis of articles in global dimensions showed that Cluster #0 and Cluster #1, both with 29 members, are the largest subject clusters formed from 1972 to 2021. The average year of formation of Cluster #0 is 1978, and the dominant topic of this cluster is computer studies and profiles. The next important cluster is Cluster #1, formed in 2018, making it the newest cluster in the field of nuclear science and technology. The topic of this cluster is deep learning and its application in nuclear sciences. The largest number of clusters (15 out of 57) was formed in the last period, 2012-2021, indicating the special attention of world researchers to various topics in the field of nuclear science and technology. 

The increasing number of published articles and the upward trend of publications in the field of nuclear science and technology each year underscore the significance and value of this subject area. Research indicates that nuclear science and technology find applications in various disciplines such as physics, chemistry, medicine, medical imaging, and geology. The emergence of thematic clusters like radiation medicine and medical imaging demonstrates the diverse topics and varied applications of nuclear science and technology across different research domains. The establishment of clusters focusing on deep learning in nuclear sciences further highlights the relevance of this field and its advancements in alignment with modern technological developments.

The establishment of an integrated and standard metadata system tailored to the local needs in health information management, which aims to improve the current conditions, will lead to optimal data protection, increase accessibility, and improve information retrieval and user satisfaction. Therefore, this study intends to study the elements of the HISO 10040.4 schema for organizing clinical information from the perspective of health information specialists.

This applied research was conducted in 1401 winter, and to collect data, documentary study and survey research were used. The statistical population of this study included 24 faculty members from Tehran University Medical Sciences in the field of health information management. An online researcher created a questionnaire with 23 questions that was used to collect data, and its face validity was confirmed by 3 experts. Finally, the results were reported using descriptive statistics.

To organize health information, 22 metadata elements of the HISO 10040.4 schema were scored and evaluated by experts. Based on the results, the mean and standard deviation of the measured metadata elements were approved by the research community, indicating the extent of their agreement regarding the importance of these elements in describing data in health information centers worksheets.

The proposed metadata elements of this research are based on the standard schema of organizing health information and approved by the research community; therefore, they can meet the needs of health information centers.

The Covid-19 pandemic crisis has highlighted the importance of open and timely access to scientific information. The aim of this study was to explain the world community's efforts to open access in the Covid-19 pandemic crisis.

This was a review study in terms of approach using documentary research method. In this regard, open access literature was studied using searches on Google search engine, Google Scholar and databases such as PubMed, Web of Science, Scopus and the websites of publishers, journals and scientific institutions, focusing on the Covid-19 pandemic crisis.

Since the formation of the open access movement, this issue has attracted a lot of attention and extensive efforts have been made in the direction of open access to research publications by the scientific community. Publishers, financial sponsors and international institutions have also entered this arena and various statements and plans have been formed in order to recognize the open access movement and its development. “Budapest Open Access Initiative”, “Bethesda Statement on Open Access Publishing”, “Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities” are the first measures in this regard. On the other hand, the importance of access to timely information, especially in the fields of medical sciences and information related to health and diseases, is worthy of attention in promoting public health. The need to pay attention to open access and sharing of information and the consequences of not doing so has become more important with the occurrence of critical and emergency situations caused by pandemic and public health emergencies. Along with the emergence of COVID-19 and the pandemic caused by it, many researches have been conducted in order to deal with the crisis of this disease and to find solutions for its treatment and control. The aspects of this deadly disease have attracted the attention of everyone, especially scientists and scholars in various fields around the world, and an unprecedented number of articles have been published in this field. In addition, many international organizations have published various information about the disease of COVID-19 in the form of open access, for example, “WHO Coronavirus Disease (COVID-19) Dashboard” and "Coronavirus Watch". The unprecedented crisis of the COVID-19 pandemic has highlighted the importance of information transparency and timely and open access to it. Access to accurate and timely information about this emerging disease is very important and can help to assess and understand the risks and obtain strategies to contain it, strong evidence, better information and support for decisions and policies in the direction of public health. The need to provide suitable solutions for treatment, prevention and control of the disease on the one hand and the increasing number of researches on COVID-19 on the other hand, has created new opportunities in the system of scientific communication and publication of research findings, and the scientific community has decided to accelerate the cycle of knowledge to find possible solutions to deal with the disease crisis. Explaining the efforts and measures taken in this direction during the COVID-19 pandemic as the most important global crisis and concern can provide useful information to the scientific community, especially those involved in research. Considering the unprecedented nature of the COVID-19 pandemic crisis, as well as the importance of timely and open access to scientific information about this disease, the question arises as to what measures have been taken in response to the COVID-19 pandemic crisis? Also, what measures and measures have been taken for free access to scientific information about the pandemic? A review of the literature regarding the issue of open access in the crisis of the COVID-19 pandemic showed in response to the COVID-19 pandemic crisis, a global effort has been made to facilitate open access to COVID-19 research findings. The need for appropriate strategies for the treatment, prevention and control of the disease and the increasing number of COVID-19 research has affected the system of scientific communication and the publication of research findings and the world community, especially reputable publishers and scientific institutions, have made extensive statements, measures and efforts to provide open access to as much scientific information as possible about the disease. During the crisis of the COVID-19 pandemic, many publishers, journals and funders have committed to open access in a statement to ensure that research findings and data relevant to this outbreak are shared rapidly and openly to inform the public health response and help save lives. The measures and actions of publishers and scientific journals in this regard are worthy of attention. Access to Elsevier's free medical and health research related to COVID-19 is possible through the "Elsevier's Novel Coronavirus Information Center". Elsevier has also created a collection of free resources, including evidence-based clinical guidelines and more than 41,000 research articles to read, download and extract data, in support of the research communities' impressive efforts in the fight against COVID-19. This guide provides an overview of the resources. Through the "COVID-19 Resource Centre", Lancet has provided free access to all research articles, review articles, news and analysis related to COVID-19 from its journals. Springer Nature has provided free access to the latest COVID-19 articles through the "Coronavirus (COVID-19) Research Highlights". The publisher has now enabled free access to articles, book chapters, reference works and protocols on its platforms and has supported all researchers to make their experimental datasets freely available. Springer Nature has made more than 8,700 preprint articles on COVID-19 available through “Research Square”, with links to key resources, free content, and up-to-date information related to COVID-19, along with key information and policies in support of access from placed far away. NEJM has made available a collection of articles and resources such as clinical reports and management guides about the pandemic, as well as a collection of resources about the COVID-19 vaccines. BMJ's Coronavirus (COVID-19) Hub has also supported health professionals and researchers through open access to practical guides, online courses, as well as the latest BMG news, opinions and research. PLOS is committed to publishing research as quickly as possible, especially in public health emergencies. All articles published in PLOS journals are free for all readers. PLOS articles collection highlights all the content related to the COVID-19 pandemic published in PLOS journals. To support the efforts of global health professionals and the scientific research community, Taylor & Francis has created a special collection of research articles related to COVID-19, providing free access to published articles related to COVID-19 in the publisher's major medical journals. he does. This collection is updated weekly. On the other hand, the archive of all research articles related to COVID-19 published in 2020 by Taylor & Francis has also been made available to the audience. Wiley has created the "COVID-19 Resources" in order to help researchers, educators and specialists for online training and access to the latest research on COVID-19. Believing in the power of social and behavioral sciences to transform the best medical research into policies and procedures for development, SAGE has published a collection of the latest medical research related to COVID-19 published by this publisher, as well as the best social and behavioral research in order to help It has enabled individuals, communities and guardians to make the best decisions to deal with the pandemic and its consequences. Science journals are trying to make research related to COVID-19 available in open access. The "COVID-19" option is placed on the main page of the Science website. CABI has also created free access to more than 37,000 records related to COVID-19 in its online platforms, Global Health and CAB Abstracts in order to support global efforts to deal with the disease pandemic. Global Health provides researchers and students with unparalleled access to all public health research and practices in the world - providing knowledge without borders. “Sci-Dev.Net” also includes episodes about the coronavirus in the Health, Science and Development series. Wolters Kluwer is also one of the publishers that has provided free access to publications related to COVID-19 in order to support professionals. According to IFLA reports, the actions of publishers such as Penguin Random House and Macmillan, as well as the measures of Audible and ENSSIB in terms of access to resources, are worthy of attention. Some libraries, such as the National Library and Archives of Iran, have provided extensive access to their users. Some associations and scientific societies, such as the International Coalition of Library Consortia, LIBER and the Association of University Library Directors in France, have asked publishers to facilitate access to works. Italian and Spanish librarians have called for more open access efforts. During the crisis of the COVID-19 pandemic, open access has also attracted the attention of scientific institutions, and extensive measures have been taken in this direction by them. In the January 30 statement, the Global Preparedness Monitoring Board called for immediate measures such as the free and immediate sharing of all information about the pandemic, the cooperation of countries to immediately allocate resources to prevent, identify and inform about the pandemic and the rapid sharing of research data by the research community, support Low-income countries are advised to ensure proper notification to national and international communities to control the pandemic. On January 30, 2020, following the recommendations of the Emergency Committee, the Director-General of the World Health Organization declared the disease pandemic a public health emergency of international concern. The world's scientists gathered on February 11-12, 2020 at the headquarters of the World Health Organization in Geneva to assess the current level of knowledge about the new virus and about critical questions and find solutions to contribute to accelerating and funding research priorities and solving the pandemic crisis and preparedness Discuss and negotiate for future issues. This meeting led to an agreement on two basic goals. The first case was to accelerate innovative research to help curb the pandemic and facilitate care, and the second case was to support research priorities that contribute to global research platforms. The World Health Organization believes that the coherence of countries is necessary to ensure fair access to the effects of COVID-19. The World Health Organization is collecting global research on the disease COVID-19 and the latest findings and international multilingual scientific information on the pandemic. UNESCO has also emphasized the value and necessity of open solutions in the face of the COVID-19 pandemic and believes that open access to scientific information can facilitate better and faster research in the direction of a suitable vaccine, and open Educational Resources help everyone to use their information. updates about COVID-19 and also teaches how to follow public health recommendations. Relying on its mission to ensure global access to information, UNESCO has taken various initiatives to apply open solutions in the fight against the pandemic. For example, the Coronavirus Watch provides a global view of the pandemic situation. The COVID-19 Universal REsource gateway (CURE) is also an immediate response to the pandemic. IFLA has made efforts to encourage the World Intellectual Property Organization to emphasize how balanced intellectual property laws can help facilitate access. IFLA has also provided a list of key resources for libraries in response to the COVID-19 pandemic on its website. Open access is also emphasized in the statement of the President and Secretary General of IFLA. Following the COVID-19 crisis, priorities have also been considered in the SPARC program. Also, the Copyright Clearance Center recognizes publishing and information institutions to participate in the public interest through access to scientific, news and educational materials related to COVID-19. The list of institutions is regularly updated. The Islamic World Science and Technology Monitoring and Citation Institute has also launched the "COVID-19 Visualizer" in order to provide up-to-date statistics about the pandemic situation and accelerate the transmission of scientific findings about COVID-19. In addition, government officials have also called for open access to the publications of COVID-19. The National Science and Technology Advisors of the United States of America, Canada, England, Australia, Brazil, Germany, France, Italy, Spain, India, Japan, New Zealand, Singapore, South Korea and the European Commission have published an open letter asking scientific publishers to Pandemic, make publications related to COVID-19 available with open access through PubMed Central and other public databases such as the World Health Organization's COVID-19 database. The world community’s efforts demonstrate the growing importance of open access and increasing attention to this issue. It seems that the global response to the COVID-19 pandemic crisis could provide lessons for better preparedness for possible future crises. The present study is one of the first studies conducted in our country regarding the free access movement in the pandemic crisis and tried to present a picture of the efforts of the scientific community in this field in response to the COVID-19 pandemic. It is obvious that future researches on the wide dimensions and angles of this issue can cause the scientific community to become more aware of the importance of free access, especially in crises.

The world community’s efforts demonstrate the growing importance of open access and increasing attention to this issue. It seems that the global response to the Covid-19 pandemic crisis could provide lessons for better preparedness for possible future crises. If open access is considered as a value in the system of publishing and research communications, the development and generalization of this value requires the adoption of policies and requirements of the scientific community in order to develop it as a global value.

With the development of technologies, things are done faster and in less time, as the reduction of time to do work and the speed of response has become an important competitive advantage among organizations. These features and advantages have led to the widespread use of Internet of Things technology among different societies, and at the same time, the field of acceptance and development of information and communication technologies in libraries and information centers has also emerged because libraries, as information service centers, should be able to play a role on par with other organizations. Due to the advancement of information and communication technology, libraries have problems in managing and providing services. The Internet of Things is one of the phenomena that helps librarians to better manage facilities, equipment, and applications. The purpose of the current research was to study the information security in digital libraries on the Internet of Things. This research was of applied type and library (documentary) and survey methods were used to carry it out. For this purpose, a 19-item checklist was used to identify and evaluate the dimensions of the research, and the state of information security in digital libraries was investigated and analyzed in 6 components access level, security and technology, service provision, infrastructure, information protection and information confidentiality. Binomial and one-sample t-tests were used for data analysis in SPSS software. In this research, the libraries that use the Internet of Things technology, the type of libraries, and the services provided by the Internet of Things technologies in the libraries were identified. The findings indicate that the components of the level of access, security, and technology, providing services and infrastructure are in a suitable condition, and the components of information protection and information confidentiality are in an inappropriate condition in terms of the security of the Internet of Things information. The use of the Internet of Things in libraries is increasing, and many libraries use or want to use this technology because it has many advantages for libraries. Also, the use of this technology accelerates and facilitates the transfer from one generation to another of libraries, especially the transfer from a traditional library to a digital library and a smart library with a smarter service. The use of the Internet of Things in digital libraries can lead to providing new and irreplaceable services to the users of these libraries. Meanwhile, security is one of the key challenges of information technology, and Issues related to the Information Security of Digital Library on the Internet of Things are very important, librarians can make decisions by using it carefully.

The COVID-19 pandemic has presented the world with significant challenges. The infodemic surrounding this disease encompasses four main subject areas where people are seeking reliable information, but also encountering a significant amount of misinformation and rumors. These areas include: the cause and origin of the virus and disease; the signs and patterns of transmission; available treatments, prevention, and treatment options; and the effectiveness and impact of interventions by health authorities or other institutions. This also causes harm to the people in society and jeopardizes the stability of the global health system, making it challenging to address the epidemic. Access to a vast amount of false information about the Covid-19 virus can contribute to the spread of misunderstandings about the disease in society and negatively impact various aspects of people's lives, particularly their mental health. The public health crisis of the COVID-19 pandemic has been exacerbated by the effects of misinformation. In light of the spread of the coronavirus, false information has proliferated worldwide, making it challenging to discern between true and false information. The spread of fake news and dissemination of false information, much like the transmission of the coronavirus, can have far-reaching consequences on various aspects of people's lives. It can cause significant harm by perpetuating misunderstandings about the disease within society, and, conversely, contribute to the escalation of the epidemic. Considering the significant increase in research on Covid-19, it would be helpful for researchers to identify the subject areas, structure, and scientific map of articles related to the disease. This will allow them to gain a better understanding of the international subject areas and related issues in this field. Therefore, it seems necessary to expand and strengthen scientific and research studies in the field of the COVID-19 virus in order to reduce the risks and fully contain this disease. Therefore, the purpose of this study is to conduct a thematic analysis and examine scientific collaborations in research related to misinformation and disinformation in the field of Covid-19, based on studies from the Web of Science. 

The present study is a descriptive-analytical study with a scientometric approach. It utilizes the method of content analysis, hierarchical clustering techniques, strategic diagrams, co-authorship analysis, and social network analysis. The research focuses on articles related to misinformation and disinformation in the field of Covid-19. HistCite, Bibexcel, UCINET, and SPSS software are used for data analysis. 

Among the studies in this field, 3688 studies related to misinformation and disinformation in the field of Covid-19 were found. The keywords "social media," "vaccination," and "general health" ranked first, second, and third, respectively, with frequencies of 332, 158, and 145. On the other hand, topics such as "Covid-19 and social media" with 334 instances of co-occurrence have been assigned as study topics in this field. Additionally, the majority of works were published in 2021. Kumar S. has published the highest number of works among the authors, with 11 works. Godman B. and Haque M. are in second and third place, respectively, with 8 works each. America is in first place with 1068 works, while England and China are in second and third place with 476 and 323 works, respectively. Most of the studies have been published in English. "The International Journal of Environmental Research and Public Health" has the highest number of published studies among other publications, with 96 articles. "The Journal of Medical Internet Research" and "PLOS ONE" are ranked second and third, with 74 and 44 articles, respectively. Among the institutions, the "University of Oxford" is at the top with 49 works and holds the first place, while the "University of Toronto" and the "London School of Hygiene & Tropical Medicine" are in second and third place with 40 and 34 works, respectively. The results obtained from the hierarchical diagram form two clusters: the first cluster includes factors affecting the creation of misinformation and disinformation in the field of Covid-19, and the second cluster focuses on the effects of misinformation and disinformation in the same field. Clusters are present in the first and third regions. 

Understanding the findings of scientometric studies in strategic areas like the Covid-19 pandemic can greatly assist researchers and policymakers in the healthcare and treatment field in making informed decisions and developing effective solutions. It can also help in creating a knowledge map and conducting valuable studies. Analysis and comparison of studies related to misinformation and disinformation in the field of Covid-19 lead to a better understanding of current trends, gaps, and dominant discourse, with the aim of improving both the quantity and quality of information. The results of this study can also assist managers and policy makers in making more informed decisions.

The aerospace industry and technology are always considered one of the most important and valuable industries due to their special and unique features and applications. The field of aerospace research is a priority in the grand strategies of science and technology development, and it is essential to focus on it. Aerospace researchers and experts play critical roles in advancing aerospace science and industry. They are responsible for conducting scientific and industrial activities as well as research. Evaluating the research performance and quality of aerospace researchers at the international level is crucial. The current research aims to study scientometrics and analyze the centrality metrics of the co-authorship network of aerospace researchers at the international level. This will be done using data available on the Web of Science Core Collection (WOSCC).

The research conducted is of an applied nature, employing an analytical approach. In this article, the technique of network analysis has been employed to visualize the network of co-authorship at both the micro and macro levels. This includes analyzing the social network of co-authorship among researchers and their organizations, as well as examining centrality indicators and conducting network analysis of researchers' research topics. The current research community includes all aerospace researchers, with 153,994 records indexed on the Web of Science Core Collection (WOSCC) from 1945 to 2021. There are 161,156 aerospace researchers, of which 6,706 were anonymous and were excluded from the research population. Therefore, 154,450 researchers were included in the study. Data Lab was used to accurately extract data for aerospace researchers. Ravar PreMap was also used to standardize data and prepare a square matrix for researchers. The symmetric correlation matrix of researchers (AU) was obtained using Bibexcel and Netdraw. Then, the required centralities were calculated. Co-authorship maps were also created using NetDraw. Co-authorship network analysis technique was used for data analysis. A 157×157 matrix was considered to identify keywords that appeared with a frequency of 70 or more. This matrix was used to create a network of commonly researched topics among researchers. VOSviewer version 1.6.18 was used to visualize co-authorship networks.

The density of the co-authorship network among aerospace researchers is low, and the network exhibits low cohesion. In the current research, five clusters of collaboration were identified, with the center consisting of prominent researchers in the field of aerospace. "David A. Fulghum" of the Maritime Center in America published 863 articles in the field of aerospace between 1983 and 2003. "Florian Menter" from Ensys Germany has the highest number of citations (excluding self-citations) for published articles in the aerospace field. Out of 87,778 keywords identified in the Web of Science Core Collection (WOSC C) in aerospace, 9712 were associated with Florian Menter. Additionally, a map was prepared using 157 keywords that had a frequency of 70 or more. The co-word clusters of the aerospace network consist of seven topic clusters, 157 nodes, 2679 edges, and have a density of 0.11. The first cluster was a hot topic discussed in the aerospace industry, and the most frequently mentioned topic, "Aircraft," is associated with cluster 3. The most prominent topics are aerodynamics, flight control, and vibrations. The most significant scientific collaboration of aerospace researchers is between Giovanni Mengali and Alessandro A. Quarta from the University of Pisa, Italy. The most scientific advancements in aerospace research have been published in the fields of aerodynamics, flight mechanics, control, and vibrations. After the United States, China had the most scholarly communications with other countries.

Developing science policy and advancing strategic plans and programs for aerospace research require comprehensive and accurate information about researchers' potential scientific and technical abilities. The involvement of prominent aerospace researchers in communication and scientific collaborations has resulted in the establishment of significant international partnerships in the aerospace industry. In order to effectively participate in robust and cohesive scientific collaboration networks, it is necessary to enhance communication among researchers, research centers, and countries, and leverage their synergistic capabilities. The present research results are utilized in the science, technology, and innovation policies of the aerospace industry. It is also used in the planning and direction of applied research, as well as in the application of research conducted by aerospace scientific associations, universities, research institutes, and aerospace industry organizations. Additionally, the results obtained from this research can be used to expand international cooperation among aerospace researchers. Another application of the results presented in this article is the optimal utilization of experts and meticulous planning for the establishment and growth of specialized clusters of aerospace researchers. Prominent aerospace researchers have facilitated the establishment of scientific collaborations and significant partnerships at the international level. Nevertheless, in order to establish stronger and more cohesive scientific collaboration networks, it is essential to prioritize the exploration of potential connections among researchers, research centers, universities, and countries, as well as their synergistic capabilities.

ResearchGate and LinkedIn are considered as professional research social networks, respectively, with purposes such as scientific communication, promoting the visibility of scientific and technological works, altmetrics studies, being up-to-date with the profession, and are also for job search. However, considering the changes and developments that have taken place in the last decade, we have seen a significant increase in patents registered by Iranians, especially by participation of Iranian women, in international databases such as the USPTO, which indicates the active presence of Iranian inventor women in various technological fields. Therefore, the main objective of this study is to analyze the Iranian inventor women’s scientific presence in scientific-social network LinkedIn and ResearchGate.

This applied research was conducted quantitatively, utilizing the library method and social network analysis in the field of scientometrics, along with the altimetric approach. The statistical research population is, 211 Iranian inventor women who had a patent in the USPTO database in the period of 1971–2021. Also, using the purposive sampling method, a sample of 110 inventors (52.1%) who were members of two social-scientific networks, LinkedIn and ResearchGate, between August 30, 2022, and September 19, 2022, was selected. To collect the research required data, first, in the advanced search section of the USPTO database, three commands "ICN/IR," "ACN/IR" and "AACO/IR" were searched. With these three commands, all patents whose country code of inventor or owner was "IR" were retrieved; but because of the similarity between some countries in this database, such as Ireland's country (Maloney; Ian (Dublin, IR)), many patents that were retrieved were not related to Iran. To solve this problem, the keyword of geographic location was used and three commands "IC/City," "AC/City" and "AACI/City" were also searched. Here, city is referred to the provincial centers of Iran (for example, "IC/Tehran","AC/Tehran" and "AACI/Tehran"). Then, all the data were entered into the Excel file. After merging and refining the data, we extracted the names of 211 Iranian inventor women. This information was based on 184 title patents registered in the USPTO database from 1971 to 2021, which involved at least one Iranian woman inventor. Then, each of these names was searched in two social-scientific networks, LinkedIn and ResearchGate, between 2022/08/30 and 2022/09/19. After that, the required data were collected by referring to the profile of each inventor using a checklist. Finally, the data were analyzed using Excel and Spss software.

More than half of the Iranian inventor women (110 people) were scientific social network members, LinkedIn and ResearchGate. From the profile personal information viewpoint, most of them had an informal personal photo, no biography and unclear language. Most of them were Ph.D. and very few had their contact information listed in their profiles. Also, 42.7% of them mentioned their patents on LinkedIn and 48.2% on ResearchGate. Qudsi Mohammadi Ziarani, with 453 works on ResearchGate and 102 on LinkedIn, has contributed the most compared with other Iranian inventor women in terms of presenting publications and research articles. Additionally, in terms of the new research index interest score and other indices available in ResearchGate, Fatemeh Atyabi has the largest share compared to others, with a research interest score of 5490 and 10374 citations, h-index of 56 and 84801 readings.

This study results indicate that the Iranian inventor women presence importance is in introducing themselves, communication, and scientific research collaboration with colleagues. Even though scientific-social networks LinkedIn and ResearchGate provide a suitable platform for more communication and interactions between users and researchers, inventors, employers, etc., but most Iranian inventor women have not used the maximum facilities and capabilities provided in these networks. Inventors can improve their personal page rank in Google results by completing their profile information in these networks and adding more details to it. They can also attract more researchers and audiences to their scientific and technological work by specifying different ways of communication in their profile. In addition, by publicly presenting their profile, inventors can increase the visibility of their work, leading to more citations and opportunities to commercialize scientific and technological products. This can serve as a pathway for entering the business world and marketing scientific products.

Co-citation and word co-occurrence analysis can help to identify key articles in any subject area. Therefore, the purpose of the current paper is to identify the thematic orientation in the co-citation and co-occurrence network of prominent articles in water pollution field in the world.

The current research is applied in terms of purpose, and descriptive in terms of type, which was carried out using co-citation and word co-occurrence analysis. In order to better understand the research conducted in water pollution and draw a scientific map of this field, all the published articles (28095 docs) were retrieved in the Web of Science database from 2011 to 2022 in August 20, 2023. Citespace software was used to analyze and draw co-citation maps and VOSviewer was used to analyze and draw word co-occurrence maps in water pollution articles.

Generally, there exists 245 co-citation link between 101 documents in the co-citation network of articles. The top articles in water pollution field in the above-mentioned time period formed 12 thematic clusters. The results of co-referencing documents in water pollution state the formation of the most important cluster (cluster 0) in 2014 in drinking water, removing arsenic, groundwater pollution. The largest number of clusters (5 clusters out of the total number of 12 clusters) was formed in the period of 2017-2019. The word co-occurrence results stated that cluster number 1 with 65 members and the topic of different methods of wastewater treatment is the most important one discussed in the articles. The terms "water pollution", "adsorption", "water quality" have the highest frequency of co-occurrence compared to other terms with 2177, 2136, 945 respectively.

Different clusters were formed in this research, most of which focus on removing pollution in water in different ways using the latest methods. These results can be an effective step in saving the time and money of officials in forming necessary policies.

The present research aims to study the status of publications and scientific collaboration and word co-occurrence networks in the field of psychology in Iran, focusing on the top 10 universities using the Scopus database.

The research method used is descriptive and based on a bibliometric study. A sample of 1968 documents in the field of psychology from 1969 to 2022 was examined. VOSviewer software was utilized to visualize bibliometric networks.

The results showed an increasing trend in the number of publications over time, with research articles having the highest number of publications, while review articles received the highest number of citations. University of Tehran, Kharazmi University, and Shahid Beheshti University were identified as the main centers for psychological research in Iran. The United States was considered the most important international collaborator. The author collaboration network consisted of professors, students, and graduates from the top 10 universities in Iran, as well as researchers from various countries, with Alireza Moradi and Nima Ghorbani being recognized as important individuals in the author network. The co-occurrence network of keywords revealed three main domains: effectiveness evaluation of interventions, personality and measurement of psychological aspect, and psychological pathology and mental health. The top five trending topics included procedures, treatment outcomes, post-traumatic stress disorder, psychology, and humans.

The results of this study indicate that the publications in the field of psychology in Iran in the international journals have achieved significant quantitative and qualitative growth. However, the role and importance of top universities in Iran in the dissemination of these publications is not uniform.

Future research is about identifying, devising, presenting, testing and evaluating possible and probable futures in order to choose the preferred futures based on the values of the society and help to build the most desirable future. The production of science and technology is the most important factor in maintaining the survival, independence and progress of the country and a serious tool for competition in different world arenas. Based on this, the aim of the current research is to identify the factors affecting the growth of scientific products in the field of nuclear science and technology.

The method of conducting this research is mixed and exploratory. In the first step, in order to extract the effective factors on the growth of scientific productions in the field of nuclear science and technology, research literature was studied in various sources such as domestic and foreign articles, internet sites, notes, newspapers, etc. And in the next step, interviews were conducted with subject experts to design the questionnaire. The mentioned questionnaire was given to three professors for the pre-examination and was edited based on their suggestions. Finally, after re-studying the theoretical foundations of related researches and applying the opinions of the professors, the questionnaire was edited and sent to the Delphi panel for answering. The statistical population of the present research in the Delphi panel is 13 subject experts in the field of nuclear sciences. To identify and select the statistical sample, the snowball sampling method was used.

Finally, the results showed that 32 main factors affect the growth of scientific productions in the field of nuclear science and technology. These factors were placed in 5 general categories. Among these 32 factors, 8 factors are related to experimental factors, 7 factors are related to managerial factors, 7 factors are related to cultural and social factors, 6 factors are related to political factors and finally 4 factors are related to financial factors. The Delphi process was completed in three rounds. Every factor that scored above 3 in the third round of Delphi was selected and ranked as an influential factor in its group. Finally, 23 factors managed to score above 3.  Of the 23 factors that managed to get a score above 3, 8 factors are related to education, 6 factors are related to social and cultural factors, 4 factors are related to managerial factors, 3 factors are related to political factors, and 2 factors are related to financial factors. All factors related to education managed to get a score above 3, which shows the high impact of education on the growth of scientific productions in the field of nuclear science and technology in the future. The educational factors affecting the future growth of scientific productions in the field of nuclear science and technology are respectively:  Increasing the training of laboratory skills (with 4.84 points), increasing the connection between education and research centers with the nuclear industry (with 4.1 points), paying attention to innovation and scientific discoveries in the country (with 3.85 points), strengthening the cycle of science and technology (with 3.75 points), designing specialized training courses (with 3.6 points), increasing scientific cooperation with prominent domestic and foreign scientists in this field (with 3.56 points), improving and improving the performance of the higher education system (with 3.31 points), more access to information sources of other countries in the field Nuclear Science (with 3.2 points)

The results of the future study of factors affecting the growth of nuclear science and technology products showed that education is the most influential factor in the upward growth process of products in this field. Therefore, it is necessary to make necessary policies in the country's education sector to achieve this goal. In general, since future studies provide a structured opportunity to look into the future and examine the role of effective factors in creating the future, it makes it possible to create a favorable perspective for decision makers and policy makers. By identifying and creating new capacities and capabilities, new horizons make it possible to take advantage of opportunities in the future. Moreover, with this approach, the problems and inadequacies caused by the future conditions can be counted and it will be possible to fix them.

Since the formation of the open access movement, extensive efforts have been made by the scientific community to provide open access to research publications. Open access to scientific information is one of the solutions that can lead to better visibility and use of knowledge by removing barriers to access. Dissemination of accurate and immediate scientific information about this emerging disease is very important and can help to assess and achieve solutions to control it, strong evidence, better information and support for public health decisions. Access to the maximum possible information about this disease is very important not only for the scientific community but also for everyone around the world. Open access allows researchers to engage with the rapidly growing research of Covid-19 and use relevant information to identify this new virus and reach solutions to the global health crisis. The unprecedented crisis of the COVID-19 pandemic has revolutionized the system of schientific communication and the disseminiation of research findings and the scientific community has taken many measures in order to access information related to this disease. The aim of this study is to investigate the publication patterns of Covid-19 pandemic research.

This exploratory study was conducted as a descriptive-analytical report using a scientometric approach. The research population of the study was comprised of Covid-19 related publications which were indexed in the Web of Science database from the beginning of 2020 to April 2021. Data collection was carried out using Web of Science and Unpaywall databases. The data was analyzed usnin Microsoft Excel and SPSS (version 23).

The findings showed that 92 percent of the examined articles in the area of COVID-19 pandemic have been published in one of the open access models. Over 40 percent of articles were published under the gold open access models, while 33 percent were bronze open access, 10 percent were green open access, and another 9 percent were hybrid open access. The results related to the fit of the publication model demonstrated the S-shape pattern of publications. Accordingly, we observed a slow publication pace in the early months of 2020 followed by a steady continuation of the publication speed during that year.

Non-open access articles accounted for only 8 percent of all COVID-19 related publications examined in this research. There has been a successful international agreement among scientific publishers regarding open access publication of the research findings related to COVID-19 pandemic. This can be considered as a remarkable achievement during the global crisis of the pandemic.

Doctor-patient relationship plays an important role in adherence of patients to treatment instructions. This study tries to examine the relationship between physicians and patients with type 2 diabetes in the treatment process by the grounded theory.

Eleven physicians and 9 diabetic patients in both sexes were selected from among all type 2 diabetic patients referred to physicians' offices in Shahid Beheshti University of Medical Sciences and Health Services. A semi-designed interview was used to gather information.

The factor influencing the physician's lived experiences in dealing with the patient and the patient's lived experiences in dealing with the physician was named as the "physician-patient discourse" factor. This factor included 9 categories in 2 central codes "physician-centered" and "patient-centered" in the physician's lived experiences with the patient and 4 categories in 2 central codes "awareness" and "confidence-building" in the patient's lived experiences in dealing with the physician.

A discourse in which the physician allocates adequate time to efficiently convey training and information, and to take a complete history of the patient, and to establish an effective, friendly, and respectful relationship ultimately lead to the patient's trust. These factors can persuade the patient to adherence to the prescribed treatment.

The purpose of the study is to analyze the content of the monetary policy research outputs with a look at OMO, to understand the evolution of the scientific structure and better planning and policy-making for the future. The study is an applied descriptive study performed with Scientometrics techniques by quantitative content analysis on scientific outputs indexed in WOS in the field of Monetary Policy and OMO between 1981 to 2020. During the Four decades, the growth trend of scientific productions in the studied area has been upward. The "Federal Reserve System" is the most active institution, and "USA" and "England" are the most active countries. The most common topics in all decades are "Monetary Policy" and "Inflation", and in the last three decades, are "exchange rate", "interest rate", "inflation targeting", "central bank", "optimal monetary policy", "Business cycle" and "fiscal policy", while little attention has been paid to tools of monetary policy, such as OMO. Scientometrics provided a clear picture of the course of study and identification of research topics in the field of monetary policy and OMO as well as the impact of economic events on the research process. In the field of OMO, there is a gap between research and the policy of the central banks. Decision-makers should pay attention to research on monetary policy and its tools.

With the spread of COVID-19, infodemic also spread. The World Health Organization (WHO) has indicated the need to pay attention to manage infodemic. The role of infodemic in vaccination can also be important. The present study aims to provide the science map of studies on COVID-19 infodemic.

This is an applied scientometric study. Data were extracted from the Web of Science and PubMed databases. The study population consists of all studies in the field of COVID-19 infodemic published from 2019 to 2022. To draw the science map, VOSviewer software was used.  

The results based on the Web of Science data showed that professional and public health categories were the most important categories and Loftus Ef was the author with the most scientific productions. The U.S, U.K, and Australia ranked first to third, while Iran ranked 33rd in the world producing scientific works in the field of COVID-19 infodemic. The science map obtained from the databases showed the co-occurrences of the government, vaccination and social media as the most important items that made up the maps.

To control the COVID-19 infodemic, there is a need for policy making in this field and the information published in social media and pay attention to the role of government in controlling it. The relationship between infodemics and vaccination rate is also important, which requires a correct policy by the Ministry of Health.

The purpose of this study is to identify and analyze the scientific products of various research areas of bibliotherapy indexed in the Web of Science database.

The present study is a descriptive study with scientometric approach and content analysis method and has been done by using co-word analysis techniques. Data analysis was performed with Histcite, Gephi, BIBexcel and SPSS software data Mapping was performed with Vos viewer software.

In the field of bibliotherapy, the highest number of productions belongs to 2016 with 59 works. Among the most frequent keywords in this field, bibliotherapy, self-help, depression with 246, 100 and 93, respectively. The rank of United States is first. The most active authors in the field of bibliotherapy Cuijpers P and Scogin F with 21 works have the most productions and Scogin F, Clum GA and Cuijpers P have the most influence in this field. The H index of this field is 74. It ranks first among the institutions of the University of Alabama.The Journal of Behavior Research and Treatment and the Journal of Clinical Counseling and Psychology are in the first place.

Coclusion:

 More than 75% of the products in this field are related to the fields of clinical psychology, psychology, multidisciplinary psychology, general medicine, and library and information science. The highest number of citations related to the field of bibliotherapy is to the two fields of clinical psychology and psychology.There is a significant difference between different domains and the number of productions and the number of citations.

With the leap in the development of information technology and social media, seeking health information online has become popular. This study endeavors to provide an analysis of users 'health-seeking information behavior in the web environment, based on Bates' developed model.

This applied study has been done by an analytical survey method. The data collection instrument was an online researcher-made questionnaire (sensitive to the differentiation of respondents) developed with inspiration from the research by Dow and her colleagues, which was enacted by 10 Faculty members of Iranian universities of medical sciences. The sample consisted of 72 individuals with bachelor's degrees and higher who were selected by volunteer sampling method. Non-parametric Kruskal-Wallis and Spearman tests were used.

Approximately, 48% of the members of the research sample had a "scrutinizing" approach to their health question and 31% had a "direct and active (searching)" approach according to Bates' developed information model. These two information-seeking approaches were more prevalent (compared to "engineering" and "basic sciences" disciplines) among those who had worked or studied in the field of "social sciences and humanities" for at least one year .There was a significant difference between "occupation" and "online health information-seeking behavior based on the Bates' model". However, there was no significant difference between "age" and "level of education" and their health information-seeking behavior (March 2022).

Dow's model (based on the Bates developed seeking information model) can be used and be efficient in the health research to analyze the information seeking behavior of different groups.

Since the discovery and representation of subjects contained in information resources is the most important goal in information description, analysis and retrieval systems, and since subject search is the most common type of user search in databases and library catalogs, in this study what is "subject" and how to analyze and extract subject matters in the process of determining subject keywords for an information resource, as well as some research and operational perspectives are discussed.

This conceptual paper uses documentary research method to examine the concepts of "subject" and "subject analysis", presented in a selection of related research works in the field of Information Science, as well as considering some corresponding concepts in the field of Computer Science and Natural Language Processing.

Despite various interpretations of what "subject" is, which some assume to be an axiom, and its definition unnecessary, there is consensus, explicitly or implicitly, on its meaning of "aboutness". Subject analysis of information resources, as part of the indexing process, is the analysis and identification of stated topics and concepts and/or obvious features of the information source that may involve manpower, computer algorithms designed to identify textual terms or the combination of the two is done. Each of these methods has its strengths and weaknesses. Search and retrieval problems due to the multiplicity of subject analysis tools and keyword assignment, low usage rate of standard descriptive schemas, inconsistencies between indexed terms assigned by a single indexer at different times, as well as between multiple indexers for the same information resource, human error in general, the inconsistency of users’ search terms with the assigned keywords, and the lack of on time description of resources due to the growing production of them are among the weaknesses of the human subject analysis approach. The application of automated methods of artificial intelligence and natural language processing offers promising prospects for increasing speed and consistency in various processes of describing and organizing information, including the extraction of subject keywords. However, evaluating the efficiency of the output of these methods, alone or in comparison with the keywords of human production, specially from the perspective of users, is required.

In the competition of machine algorithms with the human mind in the analysis and recognition of resource subjects, the human mind excels; whether it is an indexer who expresses in his own language what the source is about, or a designer who can design a machine that mimics the computational steps of his mind to saves time and resources. Libraries and information centers can, far from rushing to replace conventional processes and procedures, use the various methods and tools available from the Natural Language Processing and Machine Learning fields to design and develop automated systems for indexing and extracting or assigning subject keywords - and in the larger perspective, automated classification- to use resources (financial, human, and time) for the ultimate goal of maximizing productivity, shortening the subject access path to resources for users, and facilitating the description process.

The current research was conducted with the aim of identifying the types of services, opportunities, capacities and challenges of public libraries in providing health information from the texts of this field.

The research method is a systematic literature review, and the systematic study framework of Kitchenham and Charters was used to carry out it. By identifying the databases and query terms, searches were conducted and finally, by refining the sources and applying the entry and exit criteria to the research, 37 sources in English and 3 sources in Farsi were entered into the systematic review. The research tool was a checklist type. The information obtained by summarizing the contents is presented in the form of a table.

The results show that the types of services include six general categories of health information, social determinants of health, health literacy education, direct provision of health services, promotion of physical mobility, and alternative and complementary care services. Capacities were categorized into four general categories: human resources, resources, library functions, and fundamental values of libraries. The opportunities included four general categories: using the capacity of other organizations, strengthening human resources, providing a place to provide health services, and increasing community resilience in crises. Finally, the challenges included: nature of the issue, libraries policy, budget, resources, equipment and technology, space, services, inter-organizational cooperation, specialized human resources, communication with clients, and client problems.

Originality/Value:

 Considering the status of providing health information services in Iran’s public libraries’ service portfolio, awareness of the types of services, capacities, opportunities, and challenges of public libraries in the world in providing health information to citizens is useful for designing or providing health information services in Iranian libraries.

This study investigates the automatic keyword extraction from the table of contents of Persian e-books in the field of science using LDA topic modeling, evaluating their similarity with the golden standard, and users' viewpoints of the model keywords.

This is mixed text-mining research in which LDA topic modeling is used to extract keywords from the table of contents of scientific e-books. The evaluation of the used approach has been done by two methods of cosine similarity computing and qualitative evaluation by users.

Table of contents are medium-length texts with a trimmed mean of 260.02 words, about 20% of which are stop-words. The cosine similarity between the golden standard keywords and the output keywords is 0.0932 thus very low. The full agreement of users showed that the extracted keywords with the LDA topic model represent the subject field of the whole corpus, but the golden standard keywords, the keywords extracted using the LDA topic model in sub-domains of the corpus, and the keywords extracted from the whole corpus were respectively successful in subject describing of each document.

The keywords extracted using the LDA topic model can be used in unspecified and unknown collections to extract hidden thematic content of the whole collection, but not to accurately relate each topic to each document in large and heterogeneous themes. In collections of texts in one subject field, such as mathematics or physics, etc., with less diversity and more uniformity in terms of the words used in them, more coherent and relevant keywords are obtained, but in these cases, the control of the relevance of keywords to each document is required. In formal subject analysis procedures and processes of individual documents, this approach can be used as a keyword suggestion system for indexing and analytical workforce.

The main purpose of this research is to investigate the relationship between cultural intelligence and organizational commitment of librarians in faculty libraries of Tehran University of Medical Sciences and Health Services.

The present research is a survey-descriptive and correlational study in which the relationship between cultural intelligence and organizational commitment of librarians in the affiliated faculties of Tehran University of Medical Sciences was investigated. The statistical population includes 25 librarians working in the libraries of Tehran University of Medical Sciences. In order to collect information, two questionnaires of cultural intelligence, Erli and Ang (2003), and organizational commitment, Meier and Allen (1991), were used. Descriptive and inferential statistics were used to analyze the data. Pearson's correlation coefficient and regression analysis were used to analyze the relationship between variables. Finally, the data were analyzed using SPSS version 22 and Excel software.

The findings showed that among the components of cultural intelligence; The strategy component and then the behavior of cultural intelligence have a significant relationship with organizational commitment. But there is no relationship between the components of knowledge and motivation and organizational commitment. Findings also indicate a relationship between librarians' age and work experience and their cultural intelligence and organizational commitment; While there was no relationship between librarians' education and gender with their organizational commitment and cultural intelligence.

Considering that there is an undeniable connection between the components of cultural intelligence and the organizational commitment of librarians, it was found that the influence of cultural intelligence on organizational commitment is a task arising from the components of strategy and behavior of cultural intelligence. Cultural intelligence will help librarians, especially library managers, to show appropriate behavior by quickly and correctly understanding different cultural components, therefore strengthening the components of cultural intelligence of librarians is very important and direct communication and It has an effect on the organizational commitment of the librarians of these faculties.

The purpose of this study is to analyze and compare the concepts of media literacy and computer literacy based on the works indexed in the Web of Science .The present study is applied in terms of purpose and descriptive in terms of methodology with a scientometric approach in which network analysis techniques have been used. The research community of scientific products is related to the subject of media literacy and computer literacy.Findings indicate that 1736 works have been indexed in the field of media literacy and 772 works in the field of computer literacy. Fedro in the field of media literacy and Grasser AC have the most products in the field of computer literacy. Among the countries, the United States is in the first place in two areas, among which Iran with 11 works is in the position of 31 computer literacy and with 8 works is in the position of 19 media literacy. The co-occurence of media literacy works was 9 clusters and computer literacy works were 6 clusters. There are 327 common keywords in the thematic clusters of these two domains. Also, paying attention to the field of media literacy and computer literacy as one of the components of society can play an important role in the growth and promotion of individuals. In the analysis and results of the present study, suggestions were made for managers and politicians to better clarify the issues in this area and to invest better in its development.

Knowledge management is one of the effective strategies to gain a competitive advantage. Implementing of knowledge Knowledge management in an organization requires attention and design of a model appropriate to the specific conditions and contexts of the organization. Insurance companies are among the knowledge-based organizations that can gain the opportunity to progress as much as possible by implementing knowledge management. In such a way that if successful implementation of knowledge management, in terms of quality and performance of their services can gain a competitive advantage. Therefore, the purpose of this study is to design a knowledge management implementation model for Dana Insurance Company as one of active Company in Iran insurance industry.

The present study was an applied study that was conducted by survey method. The statistical population of the study was 1761 experts and managers of Dana Insurance Company, of which 317 people were selected as members of the sample using simple random sampling method. A researcher-made questionnaire was used to collect data. Data analysis and model fit study were performed by structural equation method with the help of Amos software.

Based on the obtained results, it was found that the model has a sufficient fit to the data. The final knowledge management model for Dana Insurance Organization includes five main dimensions. Each dimension has its own components. The causal conditions include three components in the form of Creating organizational memory, the importance of intellectual capital, and the insurance industry environment. The Contextual conditions include four components in the form of human resource development and improvement, knowledge-based evaluation system, higher and supervisory institutions, and management and leadership; The intervening conditions include two components as human factors and intra-organizational factors; strategies and actions dimension including three components in the form of knowldege management infrastructure preparation, knowledge discovery and collection, and knowledge documentation; and the consequences include five components in the form of increasing the productivity of the organization, creating a knowledge-based organization, functional and economic growth of the organization, improving the share of insurance in the growth of the economy and improving the human resources performance.

The results showed the knowledge management implementation model as a reference and pattern for Dana Insurance Company includes five main dimensions and 17 components. Therefore, for the successful implementation of knowledge management in Dana Insurance Company, special attention should be paid to these factors. Among the five dimensions of the knowledge management model, the dimension of consequences has the first rank and the causal condition has the last place.

The purpose was to identify components and effective characteristics of knowledge management of metropolitan municipalities in Iran.

Applied qualitative fuzzy Delphi analysis method was incorporated.  The qualitative experts in the community in the field: Urban management, and executives in the municipalities. Twenty experts surveyed purposefully to generate a semi-structured questionnaire.  

Based on Delphi analysis, 7 components and 59 indices were identified, based on the codes collected from the research literature, and based on a questionnaire form performed by experts using fuzzy Delphi method, 7 components were included. Knowledge among employees with average of 0.846, Competitive advantage for organization with average of 0.822, Knowledge sharing among employees with average of 0.840, Knowledge in organization with average of 0.831, Knowledge distribution among employees with average 0.839, knowledge creation for workers with a mean of 0.840, knowledge transfer among workers with a mean of 0.788.

Knowledge management as a scientific discipline is still in its infancy with so many unidentified topics in Iran. Although organizations, especially the case study of metropolitan municipalities, are gradually recognizing the importance of knowledge management in their various units, there is still a long way to operate adequately.

 Citation analysis and drawing citation maps is one of the widely used techniques in the analysis of scientific documents. Therefore, the aim of the current study was to learn as much as possible about the field of Iranian nuclear sciences by creating a citation map based on scientific metrics.

 This applied descriptive study was conducted using the citation method. In this study, all scientific productions of Iranian nuclear sciences (6155 documents) in the period of 1990-2021 and on May 26, 2021 in Web of Science (WoS) were studied. VOSviewer and Excel were used to analyze and draw the citation map.

 The results showed that Annals of Nuclear Energy was the best journal with the publication of 187 documents; Qavami's article (2014) was the best article with 530 citations, and Seyyed Mohammad Nabavi was considered the best author in the field of nuclear sciences with 23 documents and 993 citations. Among the universities in the country, Islamic Azad University took the first place with 868 documents and 6577 citations. The most cited documents in Iranian nuclear sciences were placed in 12 subject clusters, making the first cluster with the subjects of Medical Physics and Nuclear Medicine formed the largest cluster with 21 documents. The most frequently cited authors in this subject area also had 21 subject clusters, making the first cluster the largest with 103 authors and the subjects of medical physics and radiology. Moreover, the most frequently cited organizations in this subject area had 19 subject clusters, with the first cluster being the largest with 70 organizations.

 Although the growth process in the production of documents in the field of nuclear sciences in Iran has been accompanied by ups and downs, scientific production in this field is generally increasing. The results of the citation analysis in this field can be an effective step in identifying as many scientific productions as possible and in keeping track of publications and considerations in this field for policy making in the shortest possible time.