جستجوی مقالات مرتبط با کلیدواژه « هم تالیفی » در نشریات گروه « کتابداری و مدیریت اطلاعات »

The purpose of this paper is to determine the quality of the reading related elements' representation in fictions published in Iran between 2011 and 2016.

Descriptive content analysis carried out for thirty-four of the highest print run titles, both original or translated into Persian. These books have selected among Persian and translated fictions to encoding reading elements such as: reading, studying, book, bookcase, library, librarian etc. To get the quality of the reading-related elements presented in works, some questions were answered while reading the fictions:1) What reading elements are in the story?2) Which books had deep references to reading elements? And does the mentioned element play an effective role in shaping the story? 3) Do characters such as librarians, booksellers, etc. have a positive or negative aspect? Reliability approved by two literature professor and faculty members of Knowledge and Information science. To achieve stability the agreement between coders were calculated.

Among the 18 Persian books only in 12 we can see the reading elements and in the other 6, there are no references to those elements. Quantitatively, 791 codes were identified in 35 fictions. The most frequent code in both groups of works is the concept ‘book (object)’. The lowest frequency in the Persian fictions is ‘bookseller’ and in the group of translated works is ‘library (object)’. The diversity of the main characters of the fictions in the translated titles is significant but limited in Persian fictions. The character of the librarian or the person associated with reading element in Persian works is neutral and has a positive characteristic in the translated works. The influence of reading-related elements on translated works is greater than on Persian fictions. Although the presence of the elements related to reading and studying in both groups of works is weak but, the authors of the translated stories have tried more to use these elements in their works.

While the focus of previous studies is on quantitative side, this study tries to determine the quality of the reading related elements. The presence of the reading elements in both groups of works is not acceptable. According to the current state of representation of reading-related concepts in the reviewed works, it is not expected from the highest print run titles to encourage reading, especially in the group of Persian works. Publishers are advised to publish works that contains reading-related concepts and indirectly improve the reading habits.

This study aims to analyze scientometrics of two Iranian journals published in the English language in the field of Knowledge and information science (International Journal of Information Science and Management (IJISM), since 2008- 2020 and Webology since 2006- 2020) based on co-authorship and co-word indicators.

This applied and quantitative scientometric research is conducted using the methods of social network analysis, lexical coherence analysis, and co-authorship analysis. VOSviewer and UCINET software are used for visualization and centrality measures.

The IJISM had published a total number of 242 articles with the participation of 435 researchers, 365 institutions, and 29 countries. Iran, citation analysis, and e-commerce were the three most frequently used terms in the articles of this journal. The Webology journal had published a total number of 187 articles with the participation of 290 authors, 267 institutions, and 37 countries. Citation analysis, open access, and Internet / Iran were the most three frequent keywords of articles in this journal.

Conclustion:

 Although most of the articles for both journals had been written by Iranian researchers, the number of received citations by the foreign researchers was further. The authorship pattern of the articles was two, one, and three authors, respectively.

Due to the importance of the interdisciplinary investigations in the creation of knowledge, this research aims to analyze the structure of co-authored social network of researchers in the field of distance education and assess the impact of co-authored strategies (Isolate, Dyadic, Cohesion, Structural Holes, Independent, Complex and Middle)have been done on their scientific productivity.

The present study is an applied study of scientometrics using social network analysis technique (SNA) to analyze the co-authorship network. The statistical population of the study is the scientific productions of all researchers, of which at least one article has been indexed in the Web of Science citations (ISI)  in the field of distance education database from 1992 to 2017. After preparation the researcher's co-authorship matrix (AU), in order to extract the results, two types of software have been used: (a) Social Network Analysis Software (UCINET & Bibexcel), and (b) Statistical Analysis Software (SPSS).

The results show that there is a significant relationship between constraint, efficiency, network size and gender of researchers with researchers’ scientific productivity. Concerning the effect of the co-authorship strategies on the scientific productivity of researchers, the results indicate that different strategies have a different effect on the productivity of researchers in this field and between type of co-authorship strategies and scientific productivity there is a direct relationship. In this regard, researchers who have chosen structural holes and cohesion strategies as their publishing style have the highest levels of productivity, respectively. The results of regression analysis also showed that about 53% of the variability of criterion variable (productivity of researchers) is explained through the sum of predictive variables (constraint, efficiency, network size and gender of researchers).

Conclustion: 

The results indicate that scientific productivity of researchers is a function of their application of co-authorship strategies. Also, gender of researchers is a very important factor in researcher's scientific productivity in the co-authorship social network.

The purpose of this study is to identify and evaluation of our scientific cooperation between Iranian researchers in the field of microelectronics, which is reflected in the Scopus database.

The present Research is an applied scientometrics method that is carried out by documentary procedure and the required data is collected from the Scopus database. The research community consists of all the scientific productions of researchers in the field of microelectronics, which are indexed in the Scopus between 2000 and 2017.

The findings of the research indicate that the co-authorship in the field of microelectronics has been growing trend over the years; this trend has been decreasing in the years 2006-2011-2014.  In addition, the prevailing the most collaborative pattern in this research is 3 co-authors with a percentage of 32.16 (1338) and 2 co-authors with a percentage of 30.50 (1269). 

Conclustion: 

The average co-integration index is 0.93, the co-operation index is 3.06 and the co-authorship coefficient is 0.58. Among the researchers Hadidi and Khoei from the University of Urimia and Navi from the University of Shahid Beheshti are the most active writers in the field of microelectronics.

This study is a scientometric analysis of scientific products of the Islamic civilization.

This is an applied research and done by scientometric approach. The statistical population of the study includes 337 indexed scientific outputs in the field of the Islamic civilization in the Web of Science database during 1986-2018. The data gathering tool is a checklist and information analysis tools are HisCite, VOSviewer, and Excel softwares.

The findings showed that the process of scientific outputs publishing was ascending with a slight fluctuation in different years, and most of the subjects of the scientific outputs are respectively in the areas of political science, religion, and sociology. Morever, the United States, Turkey, England and Malaysia, as well as Barilan, Colombia and Ankara universities, and the Journal of Peace Research had the largest publication and citation of scientific outputs. In addition, findings showed that Jonathan Fox had the most article publication among the authors, but the citation collaboration of the authors from countries and organizations is generally lower, and the co-occurrences network of keywords was also more dispersed and the keywords of Islam and Islamic civilization have the most cooccurrences.

The results showed that local citations to scientific outputs are much lower than global citations, and scientific collaboration among countries, organizations, and authors is also lower. Therefore, Islamic civilization policy-makers in different countries, especially Muslim countries, should strengthen and improve scientific cooperation locally and internationally and create the necessary incentives to increase scientific collaboration among authors, countries and organizations.

This research attempts to analyze scientific collaboration among Iranian medical researchers based on social network indicators.

This is an applied research conducted using scientometrics methods, by analyzing the co-authorship network among researchers using the social network analysis indicators. 57460 articles published by Iranian medical researchers from 2003 to 2013 in Web of science were surveyed. To analyze the data from existing functions Bibexcel, Pajek, Vosviewer and UCIinet software were used and to test the hypothesis Spearman correlation test was employed.

The network density was 0/097, network clustering coefficient of 1/000, the mean distance of 2.5 and the network components index was calculated for 4 factors including a major factor with 1005 nodes and three minor factors with 20, 5 and 8 nodes. The results for centrality measures (micro), in degree centrality, network concentration of 0/573%, betweenness network centrality of 4.39 percent and the index of centrality closeness or the average of adjacent nodes of 40.382. In general, there is a strong and effective network of collaboration between Iranian researchers in the field of medicine.

Iran should make more efforts to accelerate international scientific development. To publish the article on proceedings, criticisms, corrections, letters, editorials and conferences in international journals, more research and budget allocations should be made. Appropriate budgeting should be determined in all medical fields, especially those with less scientific articles than other fields.

The main purpose of this research is to investigate the co-authorship articles published in the scientific journals of the AREEO during the years 2010-2014. : This is an applied scientometrics research that was carried out using library methods and co-authorship analysis. The statistical population of the study consisted of 4684 articles in the 31 scientific journals published in the AREEO during the years 2010 to 2014. The results showed that for the 4684 articles, 8579 authors from 42 countries cooperated. The tendency of most writers to co-authorship and scientific collaboration with 4299 articles (92%) are co-authored and 385 articles (8%) are provided individually. From the collaborative's articles, 3 authors articles with a frequency of 1351 (29%) have the highest number and 8 authors articles with a frequency of 17 have the smallest number of articles. Most of the authors of the articles are oriented toward co-authorship and the pattern of 3 writers is the most common model of co-authorship. The average of the co-authorship ratio of the authors was calculated using the formula for determining the co-authorship coefficient and the number of 615% was obtained, which indicates the appropriate status of team collaboration among the authors.

The purpose of this study is to investigate the knowledge structure in Entrepreneurship research using co-word analysis, to identify top authors in the field by number of articles, number of citations, and h-index, and to visualize the international collaboration network in it. Social network analysis, citation analysis, and co-occurrence analysis are used in conducting this research. The research population consists of articles published in the field of entrepreneurship that have been indexed in Web of Science in the last 20 years (1997-2016) Results indicated that Iran’s international research on entrepreneurship has grown steadily during the last decades. Co-word analysis showed that “Entrepreneurship”, “SMEs”, and “Innovation” are the most frequent keywords in this research area. Moreover, “Entrepreneurship-Innovation”, “Entrepreneurship-self employment”, and “Entrepreneurship-economic development” are top co-words in this field. Results of cluster analysis led to the creation of 7 topical clusters in entrepreneurship research. Furthermore, data analysis uncovered that “Wright M” is the most prolific, “Shane S” is the most cited, and again “Wright M” has the highest h-index among all entrepreneurship researchers. Also, based on co-authorship indicators, “Wright M” owns the best position in the network. According to the results of this research, it seems that since 1990s, the emergence and development of World Wide Web has had a positive impact of the growth of research in entrepreneurship. On the other hand, thematic clusters can give a macro view of topics in entrepreneurship. Finally, based on integrative indicators, it can be stated that “Wright M” is the most influential researcher in entrepreneurship during past 20 years.

The purpose of this study was to determine the co-authorship coefficient of the authors of the articles published in the scientific journals of the Agricultural Research, Education and Extension Organization in the years 2010-2014. Identifying the most productive authors of articles, gender writers and co-authorship patterns are also identified as research sub-goals.
This is an applied and quantitative research that is carried out using a scientometrics approach. The statistical population of the study consisted of 4684 articles in 31 scientific articles of the organization in the field of agriculture during 2010-2014.
Findings: Findings show that the tendency of most writers to collaborate with a group of 4684 articles, 4299 articles (92%) were co-authored and 385 articles (8%) were prepared individually. Among the articles published, articles with 3 authors with the abundance of 1351 articles (29%) had the highest number and articles with 8 authors with the abundance of 17 articles had the smallest number.
The authors tend to focus on group collaboration. Accordingly, using the formula for determining the co-authorship coefficient of authors, the co-authorship coefficient was calculated and an average of 615%, which indicates the appropriate status of team collaboration among the authors.

The aim of this study is to provide some criteria for reviewers in their process of evaluating the articles so as to help them predict future citations to these article based on their quality. This study deploys a descriptive - correlation and applied research. In this study, about 5 magazines as an example were selected among the Chemistry journals indexed in Scopus. Also among the 926 articles, 300 articles were examined stratified random sampling during the 2011 – 2015.The results indicated that "co-authorship" is the strongest predictor variable for predicting citation positively and significantly. Furthermore, variables of length of the article, number of references & H-index can also predict the citation Rate significantly. Along with the traditional criteria for evaluating article, the reviewers can also include other effective indicators in their evaluation process of articles, and, in turn, increase the visibility and citation rate of the articles. This makes it possible for the reviewers to deploy a reliable measuring tool for examining the quality of scholarly papers and predict the citation Rate.

This research aims to study the extent of co-authorship of Iranian researchers in Psychology field in Islamic World Science Citation Database during 2007-2010.
Descriptive-analytical method and scientometric tools are applied. Islamic World Science Citation Database is the research tool, and Excel software is applied to input and compute the data. The research population is all the articles indexed in Psychology field in Islamic World Science Citation Database during 2007-2011. Collaborative Index, Degree of Collaboration, and Co-authorship Coefficient for Psychology field were calculated.
Findings: The documents with four authors, with 0.32 growth rate, have the most growth in comparison to documents with other co-authorship patterns. Co-authorship Coefficient of authors in the given period is 0.54 and the largest co-authorship Coefficient is related to 2010 with 0.59. The average of Degree of Collaboration in the given period is 0.83.
It can be concluded that psychology researchers tend to write articles with the cooperation of other authors, so as the number of psychology articles increases, the number of articles having just one author decreases.

This study aimed to determine the level of Iranian cooperation and scientific cooperation network structure analysis Basic Medical Sciences, Science Citation base from 1996 to 2013 was conducted.
The study, a bibliometric methods and indicators with the help of network analysis and study population consisted of 1040 articles published in the fields of stem cells, molecular medicine and bioinformatics subfields of Basic Medical Sciences and the priorities of Science in document comprehensive scientific map is.
Results showed that inter-agency cooperation in the area of ​​94/23 percent, 02/52 percent external cooperation and international cooperation 23.8 percent. The findings in the analysis of scientific collaboration networks, for network density number 018/0, 831/0 equivalent network clustering coefficient, average distance of 334/3 cooperation networks and network diameter and index components 9 partner network of basic medical sciences 24 component is calculated. Results for centrality indices (chopped), at the center of the network of 346/2 per cent, equivalent to 69/31% and the core network bainite closeness centrality index vector index networking equivalent of 522/3 and 18/85%, respectively.
The result of the cooperation network in the field of medical science is not enough consistency and adequate communication and scientific collaboration between researchers there.

Scientific collaboration in the production of knowledge artifacts is especially important in a multi-disciplinary field such as Knowledge Management.
This paper examines the co-authorship patterns within KM Papers in the Category of Library Science, Information Science in the WOS. For this purpose, data from 2961 papers for the period 1989 to 2014 was extracted from the database. Using Zipf Law, an analysis of 6511 paper's authors identified 133 authors as the most productive and considered these for further analysis of co-authorship networks.
Findings: The co-authorship matrix was prepared using the RavarMatrix software package, and networks were created using Ucinet and its supplementary package, NetDraw.
Results indicate that the growth in the number of papers and authors across the years of the study follows a geometric exponential growth trend. The most prevalent authorship model in the production of these papers is a dual authorship (two- author) model. Each year the number of authors has increased 1. 332 times more than the previous year, while the number of papers has increased 1. 291 times.

Using both ideational and social influences’ indicators, this study tries to identify and analyze the most influential researchers in iMetrics. To do so, the researchers used a combination of H family indexes (h-index, g-index, and contemporary h-index) and co-authorship centralities (degree, betweenness, and closeness) for calculating ideational and social influences, respectively.
The study uses a bibliometric methodology and social network analysis approaches. The initial data of this study, which comprises 5944 records in the field of iMetrics during 1978-2014, have been retrieved from Web of Science. UCINet and BibExcel software have been used to calculate centrality measures and h-index; g-index and contemporary h-index have been measured manually within Excel. Once all measures have been calculated, researchers used SPSS and LISREL statistical software packages.
Findings: Findings indicated that there is a significant correlation between social influence indicators and researchers’ performance. Moreover, the results of LISREL uncovered a significant correlation between ideational indicators and social ones.
Based on the findings revealed in this study, it seems that using balanced and compound bibliometric indicators has the capability to provide a relatively fair and clear insight on researchers’ influence in a specific field. In this way, it is possible to create individual profiles for all of researchers in that field. So that the result could be used for important decisions such as tenure and promotion committees, granting research projects, and the like.

the aim of this research is to design co-authorship network among Knowledge and Information science Persian Journals and to know the most important authors in the time period from 2008 to 2013. Moreover, in this article, co-authorship patterns and network integrity is measured. We used scientometric tools and methods and some of the most important social network indexes such as Collaborative Index, degree of Collaboration, Collaboration Coefficient, Degree Centrality, Between Centrality, and Eigenvector Centrality for the fulfilment of this research. Nodexl software was used to analyse data. The results show that the most important Collaboration Index is related to Processing and Information management journal and the highest Degree of Collaboration belonged to journal of Information Science and Public Libraries and Processing and Information management journal. Moreover, the most important authors with the highest degree are included Gholamreza Fadaei, Mohammad Hasanzade and Fariborz Doroudi. Originality/value: Until now, most of the researchers investigated Iranian articles on Web of Science not local Scientific Databases of Journals. Moreover, it introduce the most significant and outstanding authors with wide range of inclusion in knowledge and information science.

To identify research methodology and author's typology in the field of scientific collaboration.The study was conducted by using meta-analysis approach and review of previous published research. Considering 40 published papers, show that the main research methodology (80%) was survey. In terms of typology, 60% of articles were published under the supervision of a teacher or expert accompanying by a student. The number of articles was increased in the duration of the study from beginning till the end.

The aim of this research is to investigate the interdisciplinary relations in selected high priority areas of science and technology based on ISI data. This is an applied study using scientometric, citation analysis and network analysis methods. After identifying and extracting data from WOS, all citations of these records have been analyzed in order to determine the interdisciplinary relations and the evolution of these relationships. In order to judge the interdisciplinary of data, the results of the two approaches have been considered including 1-To determine the subject areas of the journals 2-To determine the institutional affiliation of the authors. There is a positive correlation between co-authorship and interdisciplinary approach in all studied areas. There is no significant relation between the number of citations and interdisciplinary approach. Mapping of interdisciplinary relationships in nanotechnology showed this is a unique method to discover the structural patterns of a research area.

The main aim of this study was to investigate the impact of country development on scientific collaboration and visibility. Based on the purpose the study we used scientometric method as our research methodology. The statistical population of the research included co-authored articlesin the Science Citation Index Expanded (SCIE) indexed in ISI from 2005 to 2006,along with their citations during 2005-2010. The results indicated that developing countries co-authored articles withdeveloped countries were cited at an average of 11.29 but developing countries coauthoredarticles with developed countries were cited at an average of 5.18. Also,there was a positive relation between the number of collaborating countries inarticles resulted from scientific collaboration and their citation rate. In investigatingthe significant differences among scientific collaboration patterns in developed anddeveloping countries, it was seen that the territorial or continental scientificcollaboration rate in developed countries is 3 times more than developing countriesand developed countries scientific collaboration with other developed countries was11 times more than developing countries scientific collaboration with otherdeveloping countries. This showed that researchers in developed countries ` had ahigh tendency to collaborate with their colleagues in developed countries, but therewas no relation between trans-territorial and national scientific collaboration indeveloped and developing countries. The average citation rate of international coauthorshiparticles was more than 1.8 times of the average citation rate of nationalco-authorship articles. The average citation rate of co-authored articles in developedcountries was 2 times more than of the average citation rate of co-authored articlesin developing countries. The results showed that international collaboration,especially collaboration with developed countries, increased the citation rate indeveloping countries articles; there were significant differences among scientificcollaboration patterns in developed and developing countries. It is recommendedthat the increase of international collaboration increases the international visibility ofthe articles.

To investigate the scientific collaborations (for the papers indexed in ISI web of knowledge) among researchers from type-1 universities of medical sciences during 2004-2008, the present study was conducted. Webometrics based upon the co-authorship index was used. The population under study included the Tehran, Shahid Beheshti, Iran, Shiraz, Isfahan, Mashhad, Tabriz, JondiShapour (Ahvaz) and Kerman Universities of Medical Sciences. To collect data, all documents related to each of these universities were initially retrieved from the ISI web of knowledge database. Then the statistical methods of abundance distribution and abundance percentage in form of table and graph, and Spearman’s correlation coefficient for analysis of the relations among the variables were used. Considering the results, highest ratio of national scientific collaborations to total scientific publications with descending order was assigned to the Kerman, Iran, and Shahid Beheshti Universities of Medical Sciences. Most international scientific collaborations were made with researchers from the US, UK, and Canada. Pharmacology and pharmacy were the fields with highest rate of scientific collaboration, both at national and international levels. Results of Pearson’s correlation test indicate a significant relationship between scientific publications of the universities and their national scientific collaborations, between scientific publications of the universities and their international scientific collaborations, and between their national and international scientific collaborations.Originality/Value: In addition to providing an overview of the status of scientific collaborations among researchers in type-1 universities of medical sciences, the present study has identified the fields which have received attention from researchers in their scientific collaborations.