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

This research applied Expertise Retrieval model for finding expert authors, and used evaluation methods of Information Retrieval systems for measuring the performance of those models. Current research is an experimental one. Besides, a variety of methods including survey method has been used in the research process. Various models were developed for finding expert authors, all built on a known expertise retrieval model- called document-centered model. Voting models were used within these models, too. All models were implemented and evaluated on the test collection developed specially for this research. Results showed that citation-centered models outperformed authorship-centered models in term of expert author finding task. In addition, there was no significant difference among retrieval performance of voting models. Individuals name occur in academic papers in two ways: either as author of paper or cited in the paper. Measuring retrieval performance of ER model considering kind of occurrence is our contribution in this research.

Purpose of this research is to show scientific collaboration of researchers in University of Tehran. It improve co-authorship network and develop international collaboration. Moreover, selection of professional researches is assigned.

Scientometrics approach is used on gathered data from Web of Science. Data was gathered from whole of the resources in Web of Science database that written by University of Tehran's researchers 2011-2015. Data analysis was done by Hist Cite, Node Xl and Vos viewer.
Findings: Results show that scientific publishing has been descending until 2013 and at 2014, the most number of publishing was published. The highest ranking of citation is to joint article of Ganjali and Nourouzi. 56 resources of University of Tehran is cited by more than 50 resources. The most scientific Edge relationship was be done with Islamic Azad University, University Tehran medical science ,Tarbiat Modares University in national level and University calif davis, univ Malaya, univ Wisconsin

This study is set to map co-authorship network and scientific collaborative coefficient of Iranian researchers in aerospace science in the Science Citation Index till 2014. Scientometric methods were used to do the study and the following software applied for data analysis: HistCite, VOSviewer, Pajek, UCI net, and Excel. Out of 2501 articles in aerospace sciences were found in the Science Citation Index with affiliation to Iranian universities and institutions. Results showed that 67.45 percent of the articles were written with collaboration at the national level, 32.55 percent at regional level and 4.42 percent of the articles were written with collaboration at the international level. Top Iranian universities and institutions were Sharif University of Technology, Shiraz University, Tehran University and the Institute for Research in Fundamental Sciences, respectively. Maximum of research productions was produced with the United State of the America. Analysis of collaborative coefficient showed collaborations with countries such as the United Kingdom, Italy, German and France. Mean of collaborative coefficient was 0.43 during the research. Authors’ typology showed 88 percent of articles were written by two authors and 16.39 percent of the articles were written by three authors.

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.

The aim of this research is to study the relationship between the co-authorship and the impact factor in Persian technical and engineering journals of Iran during the years 2001-2010. The research method is analytic-descriptive with a citation analysis approach. The research population consists of 9321 papers from 77 Persian technical and engineering journals of Iran during the years 2001-2010. The data analysis was performed through Excel® and SPSS® v. 20 programs. They were analyzed by statistics methods like، ANOVA، Chi Square، and Regression analysis. Findings showed that the average number of authors for Persian technical and engineering journals’ papers of Iran was not experienced a considerable change in the period mentioned above. The co-authorship was a dominant status in the papers that were studied but the average number of authors was slowly increases during the years of study. The findings also showed that a relationship is occurring between the co-authorship and Journal Impact Factor from 2010. The findings suggested that the co-authorship trend was unchanged during the studied period and the trend towards writing articles with two or three authors has been more significant. Occurring a significant relationship between the number of authors and the Impact Factor at the end of the studied period gives a positive outlook for the role of co-authorship in receiving more citations in future. As a final conclusion، the role of the number of authors in rising the chance for receiving more citations has been 17 percent among the other factors in Iranian technical and engineering journals.

Collaboration for producing scientific works is an effective factor in individuals’ research outputs. Based on this hypothesis, current research aims at determining the relationship between the co-authorship metrics and the share frequency of Iranian Library and Information Science faculty members in writing Persian journal papers.Methodolog: The type of the research is descriptive and uses document analysis method for data collection and analysis. The study on the co-authorship is based on metrics for social network analysis. In October 2013 the search for the names of 192 Iranian Library and Information Science faculty members in MAGIRAN database resulted in 1469 distinct papers. The share frequency and the co-authorship matrix were also determined by RavarMatirx. The network metrics were obtained through UCINET. The collaboration map was draw by NetDraw. Findings show a logarithmic correlation between the authors’ share frequency and their ranks among the members of the co-authorship network. Findings also show that there is a negative log-log relationship between the density of the authors’ ego networks and their share frequency in producing Persian journal papers. This means that increasing in the number of individuals’ papers leads to decreasing the density. The other finding revealed a positive Pearson relationship between the authors’ degree centralities and their share in producing papers, so that adding one person to an ego network statistically increases 0.9 papers in his/her share frequency. Authors with more shares in papers’ authorship have big and low density ego networks and collaborate with persons who have small ego networks.

Examining subject trends of LIS Persian books published in Iran from 1994-2008. a checklist was used to collect data. Population includes 472 book titles in the field of Library and information science between 1994 and 2008. National Library OPAC was searched to identify these books. Publishers'' website of Khaneh-yeh Ketab and the section of academic publications were consulted to ensure full coverage. Most LIS publications in the country during those years are originally written in Persian. In 2005، however، the majority consisted of translated titles. M. H Dayani and A Shokoohi were the most proliferating author and translator، correspondingly. Cataloging and classification made 9. 6% of all publications originally written in Persian. Reference and information services were the two subject areas that received highest number of translated titles (13. 8%).

The present study tries aims to gain a general understanding of scientific cooperation، co-authorship، as well as co-authorship networks by examining a small sample of a co-authorship network with Mojtaba Shamsi pour as a central agent in the field of chemistry in Iran. Using a historical-documentary method، we attempt briefly to review the relevant literatures in this regard. The results indicate that studying co-authored articles and citation networks based around scientific publication centers is an effective way of investigating cooperation between scientists. These networks are useful for understanding scientists’ relationships as well as reputation، popularity، and technology development. Indeed، they are a kind of social network: a social network is a collection of relationships conducted between individuals، groups، and organizations that enable data، information and knowledge circulation between different. Based on the theoretical framework of the study، the co-authorship network in chemistry in Iran with of Mojtaba Shamsi pour at its centre، is evaluated. According to these findings، the network is so complicated that he، with unified relations hips has provided a powerful center in this area. Mapping Shamsipour’s co-authorship social network is an outstanding example of scientific cooperation in the field of chemistry in Iran.

This research aims to analyze the effect of co-authorship strategies on productivity of information science researchers and to determine the relationship between co-authorship social networks structure and productivity of Information Science researcheres. Social network analysis is used as the research method. The research population includes all those researchers who have published at least one record in one of the twenty journals of information science which has an impact factor of 0.635 as a minimum from the years 1996 to 2010. The One-Way ANOVA results showed that co-authorship strategies differed between different groups of researchers in information science discipline. As the findings indicated co-authorship strategies affected on factors productivity as those researchers who used cohesion strategy had the highest productivity. The Results from variance regression analysis revealed that about 52% of researchers’ productivity variable variance was determined by factors such as constraint, efficiency network size and gender. Generally, it can be concluded that the variables such as network size, constraint, efficacy and gender simultaneously have a significant predictive power. Therefore, the values of researchers’ productivity variable can be calculated based on four variables of network size, constraint, efficiency and gender. The higher coefficient factor of network size shows the more importance of this particular variable in predicting the criterion variables.

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.

The present study aims to investigate the centrality measure in co-authorshipsocial networks in journals of information science indexed by Thompson Reutersdatabase. The present study was carried out using network analysis. The research population consisted of all information science journals which had the impact factors more than0.6. The results showed that Gelnzen had the highest degree, betweeness, closeness and eigenvector centrality in the Sciencetometrics journal while Nicols had thehighest degree, eigenvector and Beta centrality in information science journal. Thefindings indicated that information science researcher's co-authorship social networkgenerally had a low density and a low centrality measure compared to other scientific fields.

The present researchexamines international co-authorship network of Iranian Nanotechnology researchers. A number of factors are considerd includingthe co-authorship frequencies with countries، continents، the first year of co-authorship with co-authors’ countries، the primary focus of collaborations between countries، the betweenness centrality indicator. Furthermore، we examined the evolutionof co-authors’ countries network، the authoring burst of co-authors’ countries، sigma & burst terms indicators using Citespace (program for visualizing patterns and trends in scientific literature) by 4605 documents extracted through Science Citation Index (SCI) via the Web of Science databases advanced search between 1991 and 2011. The query was conducted using Nanotechnology tree terms، identified by Inspec and Compendex thesaurus. The results showed that the Iranian nanotechnology researchers collaborated with 44 countries (except Iran) and had the most co-author documents with Europe and Canada. The highest Iranian scientific collaborations among neighboring countries، respectively، was with Azarbaijan، Russia، Pakistan، Turkey and United Arabic Emirates and Oman. Iran has does not the scientific collaboration with other neighboring countries. New Zealand and Mexico are countries that Iranian nanotechnology researchers had co-authors for the first time in 2011. Preparation is likely to be the primary focus of collaborations between Iranian researchers with 27 countries. Since Canada was prolific country in terms of collaboration and had the highest betweenness centrality، therefore this country has been the dominant influence on Iranian nanotechnology researchers. Iran''s first connections with Non-concordant countries with Iranian Nanotechnology researchers studies orientation has happened in third five-year period. Countries with similar studies orientation to Iran were the most active Co-authors’ Countries with Iranian Nanotechnology researchers by 2004. Japan with sigma amount equal to 1. 16 is allocated to the highest rank to represent novel ideas. «wall-carbon-nanotubes»، «density-functional»، «fe-2-o» and «single-wall-carbon-nanotubes» respectively were the most prolific term used in the Iranian nanotechnology scientific productions.

The aim of this research was to investigate the effect of co-authorship and self-citation on the citation rates of Iranian indexed articles in Web of Science (WoS). Research population included Iranian indexed articles in WoS in 2007 which had been received at least one citation. Numbers of articles in the time of research (October & November 2010) was 7355، which 390 of them، using stratified random sampling، was selected as sample. Research results showed that co-authored articles have received more citations than single-authored ones and this difference was statistically significant. On the other hand، self-citation exclusion has significantly reduced the citation rates of both co-authored and single-authored articles. After self-citation exclusion، existing difference between citation rates of co-authored and single-authored articles lost its significance. So، it can be concluded that self-citation exclusion led to reduction of citation rates of Iranian indexed articles in WoS، but this exclusion affected co-authored articles citation rates more than single-authored ones. In other words، high citation of Iranian co-authored articles in comparison with single-authored articles has been affected mainly by self-citation، not by foreign citation. This finding، which was our contribution، contradicted with results of previous researches.