co-authorship

One of the most important indicators of a country's development is its progress in scientific research across various fields and disciplines. Evaluating scientific output in different areas reveals the trajectory of scientific advancement within those fields. The analysis of co-occurring keywords and co-authorship, as key conceptual visualizations in scientometrics, is  widely used for mapping the network of scientific domains. Recent scientometric studies have extensively employed this approach to facilitate conceptual analysis. This study aimed to analyze and visualize the scientific landscape of Persian research in information technology (IT), as it is essential to understand the research profile of this significant scientific field. This analysis is based on articles indexed in the Iranian Science Citation Index (ISC) database over a decade, from 2010 to 2019.

Taking a bibliometric and scientometric approach, the present study is an applied research effort that utilizes both co-authorship and co-word analysis, along with social network analysis. This scientometric investigation identifies and analyzes key bibliometric features of research on information technology published in Persian journals. These features include, among others, highly productive authors, influential authors, the most cited and referenced papers, authorship patterns, authorship networks, author centralities, frequently used keywords, co-occurring keyword pairs, and subject clusters. The statistical population comprised 2,107 articles indexed in the field of information technology within the Iranian Science Citation Index (ISC). Data were extracted from nine specialized journals as the Persian sources that are well-known in the field and have been indexed in the ISC database. A keyword search for the phrase "IT" in the title field of the article search page yielded 287 articles. To analyze, visualize, and summarize the data, the software packages and "Excel" were utilized.

The results of the study indicated that the average number of authors per article among the papers was 2.61. "Hamid Hassanpour, with 20 published articles, and "Mohammad Javad Valdan Zoj, with 19 published articles, were the leading authors in terms of article count (considered highly productive authors). In contrast, "Abolfazl Shahabadi" and "Manouchehr Manteghi, with 49 and 40 citations respectively, were recognized as the most cited authors (considered highly influential authors) in the field of Information Technology (IT). The average number of citations per article was less than one, specifically 0.95. Articles on "Organizational Agility" and "Open Innovation" were identified as the most cited works in this domain. Additionally, the average number of sources cited per article was 29.8. The number of contributions that produced articles accounted for 42.5 percent of all publications. Of these articles, 39.7 percent were authored by three co-authors. The largest co-authorship network comprised 35 individual authors. "Mohammad Javad Valdan Zoj, "Sepehr Ghazi Nouri, and "Maghsoud Amiri" were the leading authors in the field of Information Technology (IT) based on their degree, betweenness, and closeness centralities, respectively. The keywords “Information and Communication Technology”, “Information Technology”, and "Knowledge Management" were the three most frequently used terms in this field. The most common pair of co-words among the author-assigned keywords was "knowledge management - information technology, followed by  - information and communication technology, - information technology, technology - education. Clusters in the field of IT were illustrated using 104 high-frequency keywords that appeared at least six times. The clusters included "Genetic Algorithm, "Knowledge-Based Development, "Research and Innovation, "Human Resources Productivity, "Higher Education, "Electronic Development, and "Knowledge Management. The network revealed eight main clusters, with the largest cluster containing 32 keywords and the smallest consisting of four keywords. These eight clusters were named as follows:  with 32 keywords,  with 16 keywords,  with 14 keywords,  with 12 keywords,  with 10 keywords,  with four keywords.

In conclusion, there is a pressing need to focus more on the production of articles related to specialized topics within the field of information technology for subject integration. Particular emphasis should be placed on the quality of the content in these articles, as well as the necessity for increased participation of women in the creation of articles in the information technology sector.

Today, researchers encounter challenges in scientific collaboration and the alignment of results with their peers. This study aims to evaluate the accuracy of identification and the extent of researchers' genuine participation in the convergence of multi-authored articles written by aerospace researchers, utilizing the three-dimensional Collaborative Author Writing Hierarchy (CAWH). Author associativity is a concept closely linked to scientific collaboration and multi-authored publications. The complexity of knowledge and the increasing demand for specialization and interdisciplinary skills have shaped scientific participation. Aerospace researchers and specialists are pivotal in conducting scientific and industrial research within the aerospace sector, focusing on technology development and providing support and guidance to fellow researchers. The aerospace industry is multi-faceted, strategic, and dynamic, possessing significant potential for wealth generation, economic development, enhancing national competitiveness on the global stage, job creation, and export opportunities. In various fields of study, numerous indicators have been established for observing, monitoring, and quantitatively and qualitatively evaluating researchers' publications, leading to the introduction of diverse metrics accordingly.

The research is applied in nature and employs an analytical approach. To assess the improvement in accurately identifying the author's true contributions in published articles, a composite measure that examines multiple dimensions has been utilized. The research outputs of aerospace researchers were analyzed, drawing on data categorized under "Engineering, Aerospace" in the Web of Science Core Collection (WOSCC). English-language articles published from 1945 to 2021 were extracted for this study. Data extraction was conducted on February 4, 2022, a Friday. The current research community encompasses all aerospace researchers from 1945 to 2021, comprising 153,994 records indexed in the Web of Science Core Collection (WOSCC). The total number of authors is 161,156, of whom 154,450 researchers with identifiable names (without sampling) were examined. The total number of citations is 2,617,712. Data extracted from the scientific website during the research period were analyzed. In this research, two tools, namely the "MiMFa Scraper, were employed to gather detailed information about each author. Additionally, another tool was utilized to match the gauge information with PHP (Hypertext Preprocessor). This tool is considered part of the DataLab software suite. Ravar PreMap software was also used to standardize the data. To normalize the data, the codes developed in the DataLab software were implemented. Excel 2016 was also utilized to extract data from various websites using PHP. The CAWH measure is defined as the average number of weighted citations based on co-author credit for a researcher.

The results of the H-weighted co-authorship index indicate "Florian Menter" (from ANSYS Germany GmbH), "Chae M. Rhie" (from Raytheon Technologies USA), "Philippe R. Spalart" (from Boeing), "Edward F. Crawley" (from Massachusetts (from the Institute of Technology (MIT)), "Irving Reed" (from university (from Southern California) are in rank fifth ranks of among based on the CAWH index. This measure was used to calculate the utilizing assessment of each author in writing a multi-author article.

The emphasis on recognizing researchers' contributions in article writing will be beneficial and effective for both researchers and the scientific community. Acknowledging researchers' involvement in writing allows them to showcase their contributions and achievements fairly and transparently. This approach enables researchers to properly receive their scientific credit and build their reputation, thereby gaining a competitive advantage within scientific communities. Within research teams, the implementation of this measure will enhance collaboration, facilitate the division of labor, and more equitably determine the rights and benefits of each team member. This approach fosters active collaboration and enhances the productivity of research teams. It enables research organizations and universities to conduct more accurate scientific evaluations of individuals and allocate resources based on equitable distribution and participation. Additionally, this method can improve transparency and build trust within research organizations. Consequently, it can help cultivate a culture of participation and cooperation within scientific communities. This approach can foster healthy, justice-oriented competition in science and enhance the quality of research. The evaluation offers readers and the scientific community detailed information about the authors and their collaborators involved in the research. This transparency enables readers to better assess the contributions and expertise of the article’s authors, thereby increasing their trust in the results and citations presented. Overall, acknowledging the participation of researchers in writing articles supports the scientific process and advances the field of science. This approach offers guidance for justice, transparency, cooperation, and the enhancement of research quality within scientific communities. It fosters an environment conducive to scientific development and progress, which can be assessed and refined using the index introduced in this study.

The purpose of this research is to determine the status of scientific productions of Jundi-Shapur University of Technology in the Web of Science database. By identifying the research performance of the university and taking necessary measures, the factors and conditions for increasing scientific production and upgrading the university's rank will be provided. The results of this study can be a valuable and efficient tool for management in macro-planning in research and lead to essential planning. Therefore, the state of scientific research productions, as an example of Iran's academic community, has been examined to determine the degree of development of the university based on indicators such as the number of articles indexed by university researchers, their growth trends, identification of fields and active researchers, determination of co-authorship network, determination of organizational network, and numbers of citations. These should be measured and evaluated using scientific metrics.

This scientific analytical research employs the library method, and VOSviewer software is utilized for data analysis. The statistical population comprises all scientific works affiliated with this university in the Web of Science database from 2010 to 2021, where at least one researcher is affiliated with Jundi-Shapur University of Technology. Data collection involved searching for the term "Dezful" in the "Address" field and filtering the results by selecting Jundi-Shapur University of Technology and the relevant years. Descriptive statistics were conducted using Excel and VOSviewer software, and statistical analysis was performed using the Mann-Whitney U test.

The results of this research show that the number of indexed articles from Jundi-Shapur University of Technology in the Web of Science database is 294 records. The first article was indexed in 2010, and the growth rate of scientific production has been increasing every year on average. Particularly, from 2019 to 2021, there has been an upward trend, with the highest growth rate recorded in 2012 at 600 articles. The average growth of scientific production is 92.51. Participation in scientific productions is at a very good level, with 95.58% of all articles being produced with the collaboration of other researchers. The highest participation rate was in 2021 at 29.54%. The dominant co-authorship pattern among university researchers is the pattern of 3 authors, with a collaboration degree of 0.938 and a collaboration index of 3.15. The high collaboration degree and index indicate the strong participation of researchers and their willingness to write joint articles and engage in scientific collaborations. The most active department in terms of scientific productions is the Department of Basic Sciences, with 117 articles, accounting for 39.53% of the total articles. The department with the lowest activity is the Department of Architecture and Urban Planning. The most productive researcher was R. Nikandish (45 articles in WoS) from the Department of Basic Sciences. The total number of citations is 1859, with an average of 6.32 citations per article. The total number of citations has increased with the rise in the number of scientific productions, with the highest number of citations recorded in 2021 at 802. The most cited researchers were A. Keramat, A. Ghasemi, and N. Tahmasbi, respectively. The highest rate of collaboration in scientific products was observed with Amirkabir, K.N.Toosi, Shahid Chamran Ahvaz, and Sharif Universities, while the countries with the highest collaboration rates were Spain and the United States. Additionally, there was a significant difference between the number of women's and men's scientific productions at Jundi-Shapur University of Technology (P-value = 0.014).

Although ups and downs have accompanied the trend of scientific productions of JSUT and their citing rate, it has grown well in recent years. Also, it seems their scientific collaboration with local and international researchers has been effective in increasing the number of articles and their citation rate.

The purpose of the current research is to investigate the growth process of scientific outputs, core publications, universities, and research institutions active in the field of Qur'an and Hadith studies. Additionally, the study aims to explore issues related to gender, women, and family, and to determine the position of researchers in the production of scientific outputs in this field.
The research is applied in terms of type, and its method is scientometric. The research community included approximately 2455 scientific outputs collected from the database of the Women and Family Research Institute. The data was transferred to Excel software as a text file, controlled, and the keywords were standardized. The relationship between authors and maps was determined using USENET software. Clusters and authors' co-occurrence maps were drawn using NetDraw and VOSviewer software.
The growth rate of studies in this field is 11.38%, indicating that researchers in the fields of Qur'an and Hadith, gender, women, and family have shown increased interest in interdisciplinary research. The journals Payam Zan, Strategic Studies of Women, Shia Women, Jurisprudence and Family Law, Islamic Research Journal of Women and Family, and Women and Culture have the highest frequency, respectively. According to the Bradford rule, there are 260 main authors, with each author having a minimum of 3 and a maximum of 29 articles. The cluster of authors in the studied field is divided into 9 sub-clusters.
While the review of scientific publications reflects the status of scientific research and the standing of each individual, university, and research institute in terms of scientific output, it also helps identify leading researchers and key journals. Moreover, it enhances scientific collaboration and communication among researchers in the specific field under review. This process serves as a valuable tool for policymaking, scientific planning, and establishing research priorities.

The purpose of this study is to evaluate the scientific performance of authors in Iranian and Turkish journals in the Web of Science (WOS). The study also aims to analyze the citation behavior of authors and map their co-authorship.

The present study is a scientometric study that utilizes social network analysis. Data analysis is conducted using Microsoft Excel, while social network mapping is performed using VOSviewer.

This research provides a general overview of the scientific publications from two prominent countries, Iran and Turkey, within the D-8 group of developing Islamic countries. The data was collected from the WoSa database. The research findings show that 50% of the records in Iranian journals were produced by Iranian authors, while 60% of the records in Turkish journals were produced by Turkish authors. Among these two countries' journals, the most international scientific cooperation has taken place among Iran, Turkey, China, India and the United States.the conclusion reveals that a total of 1,624 degrees from Iranian publications and 15,464 degrees from Turkish publications have been indexed in the database between 2017 and 2019. The dispersion distribution of Iranian and Turkish publications is in accordance with Bradford's law, that is, a small number of publications (three Iranian and Turkish publications) published the largest number of scientific documents (thirty percent in Iranian publications and fifteen percent in Turkish publications). This issue also applies to the most cited publications. So that 33 percent of the citations of Iranian publications and 24 percent of the citations of Turkish publications belong to 3 Iranian and Turkish publications. In Iranian publications, 50% of scientific documents are produced by Iranian authors, and in Turkish publications, about 60% of scientific documents are produced by Turkish authors.Also, writers from China, India, and America have a significant and active presence in the publications of both countries. The results of the surveys of the most prolific authors showed that in Turkish publications, all prolific authors are national writers from Turkey, while this issue is different in Iranian publications, and among the 11 prolific authors of Iranian publications, 2 Chinese authors are It can be seen that this shows the strong presence of Chinese writers in Iranian publications. The ratio of citations to articles in Iranian publications is about 8.3 citations per article, and 4.2 citations per article in Turkish publications. Also, the average number of citations to articles in Iranian publications is equal to 2 and in Turkish publications is equal to 1. As a result, the citation status of Iranian publications is more favorable than Turkish publications, both in terms of the ratio of citations to articles and the average of citations. In the publications of both countries, the articles from 2017 received the most citations. The articles of Iranian publications have received the highest number of citations from the countries of Iran, China, India, America, Turkey, and England, respectively. Additionally, in Turkish publications, the highest number of citations came from Turkey, China, the United States, India, Iran, and Italy, in that order.By examining foreign quoting institutions and countries, it was found that institutions affiliated with China and the United States cited articles from Iranian and Turkish publications the most. This supports Lotka's law, which states that the distribution of articles produced by partner institutions in Iranian and Turkish publications follows a pattern where a limited number of institutions produce the majority of the documents. In Iranian publications, ten prolific institutions account for forty-three percent of the documents, while in Turkish publications, ten prolific institutions account for twenty-five percent of the documents.It is worth mentioning that the growing willingness of researchers to collaborate with other authors in producing joint scientific documents can have a significant impact on increasing visibility and receiving more citations over time. This is something that researchers should take into consideration. The results related to scientific cooperation in Iranian publications show that America, Iran, China, and India had the highest amount of scientific cooperation with other countries, with 60, 58, 39, and 39 cooperation links, respectively. Meanwhile, the authors from Iran and America had the most extensive and robust scientific cooperation with each other. America is known as the primary partner of Iranian researchers in international cooperation. In Turkish publications, Turkey, America and England established the most scientific cooperation with other countries with 66, 61 and 59 links respectively. Mapping the social network in countries' co-authorship shows that authors from the United States are recognized as the main collaborators of Iranian and Turkish researchers in scientific and international co-authorship. Also, the status of study citations shows that Iranian journals have more favorable citation rates and median citations compared to Turkish journals.

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.

The triple helix model measures the interactions between university, industry, and government and is used by researchers as a normative framework to understand the interactions between the main actors in innovation systems. The main goal of the current research is to analyze the dynamics of organizational interactions in the production of scientific articles in the field of electrical and electronic engineering in Iran. Therefore, this research tries to quantitatively assess the status of inter-organizational cooperation in scientific articles in the field of electrical and electronic engineering in Iran with the approach of the triple helix model.
The current research is of an applied type, which was conducted using the Triple Helix Model and based on the T(UIG) indicator for University-Industry-Government interactions. The statistical population of the research includes 19,802 scientific articles indexed in the Web of Science database, from Iran in the field of Electrical and Electronic Engineering, during 2010-2019. TH software was used to convert data that was extracted from the Web of Science database into Excel format and to calculate the uncertainty of the interactions of the elements. In order to make a proper analysis in this regard, first, based on the usual and common research process of this field, the university was considered with code U, the industry with code I, and the government with code G.
The findings of the research showed that the number of articles has grown in the studied period and reached 3216 articles in 2019 from 1019 articles in 2010. The findings show that the production of articles in all three pillars has an upward growth and the growth rate of articles from 2010 to 2019 is 0.63 for university, 2.5 for industry and 1.8 for government; On the other hand, the highest level of cooperation between the university and the industry has taken place, and the lowest level of cooperation has been between the government and the industry. The findings showed that the highest level of university-government interactions was in 2010 and the lowest level of government-industry interactions, which was close to zero in most years, indicating the independence and lack of connection between the mentioned elements. One of the remarkable results is that in the years 2010-2019, the interaction between the university and the industry was in contrast with the dual interaction between the university and the government. University-industry interaction has been aligned with industry-government interaction during the years under review. In 2014, the interaction between the dual and triple pillars was zero, while the university-industry interaction reached its highest level this year. Also, in 2014, the highest level of interaction between university-industry dual pillars has taken place, and the opposite is true for tripartite relationships, and in 2010, the highest degree of triple interaction between university-industry-government pillars is observed. Based on the values of T index, the highest amount of double and triple interactions between university-government, university-industry-government, university-industry, and industry-government have been seen, respectively. In 2014, the interaction of the dual and triple pillars was close to zero, but this year, the interaction between the university and the industry has increased a lot, which indicates that the government does not invest in the industry, and in other words, wherever the role of the government becomes weaker, The role of industry is more prominent.
The findings showed that the number of articles has grown in the studied period, reaching 3216 articles in 2019 from 1019 articles in 2010. The results also show that the production of articles in all three pillars has an upward growth which the growth rate of articles from 2010 to 2019 is 0.63 for universities, 2.5 for industry, and 1.8 for government; On the other hand, the highest level of cooperation between the university and the industry has taken place, and the lowest level of cooperation has been between the government and the industry. The findings showed that the highest level of university-government interactions was in 2010, and the lowest level of government-industry interactions was close to zero in most years, indicating the independence and lack of connection between the mentioned elements. One of the remarkable results is that in the years 2010-2019, the interaction between the university and the industry was in contrast with the dual interaction between the university and the government. University-industry interaction has been aligned with industry-government interaction during the years under review. In 2014, the interaction between the dual and triple pillars was zero, while the university-industry interaction reached its highest level this year. Also, in 2014, the highest level of interaction between university-industry dual pillars has been taken place, and the opposite is true for tripartite relationships. In 2010, the highest degree of triple interaction between university-industry-government pillars is observed. Based on the values of the T index, the highest amount of double and triple interactions between university-government, university-industry-government, university-industry, and industry-government have been seen, respectively. In 2014, the interaction of the dual and triple pillars was close to zero, but this year, the interaction between the university and the industry has increased a lot, which indicates that the government does not invest in the industry, and in other words, wherever the role of the government becomes weaker, The role of industry is more prominent.

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.

Scientometrics is one of the most important scales for evaluating scientific products that are used to describe scientific studies in terms of their growth, structure, and interactions. The present study was conducted using a scientometrics approach and using co-word analysis and social network analysis (SNA) to investigate relationships in the field of intangible assets. In this regard, research indexed in Scopus on the topic of "intangible assets" has been analyzed using software including vosviewer, Gephi, HistCite, Publish or Perish and NodeXL. Questions such as what subject areas are constituted and how these areas are related to each other have been addressed using methods such as word co-occurrence and social network analysis. The findings of the study show that the most frequently used topics and words are knowledge management and intellectual capital. Also, the most valuable subject areas were identified based on the maps drawn using the closeness and centrality indexes; value creation, value chain, social responsibility and trademark. With the advent of the knowledge-based economy era, a large portion of the organization's assets are of an intangible type, which confirms the recognition of and investment in these types of assets. Co-authorship analysis revealed that the co-authorship network is discrete and has low-density, with a total of 12,472 citations in all articles. By using the co-word map of intangible assets, researchers and especially policymakers can plan appropriately through the knowledge of the research and thematic status of intangible assets.

Knowledge Organizing is one of the oldest and most basic topics in Library and information science Whose main domain is immutable over time; However, the environment in which the organization operates has changed dramatically and will continue to change. Published research often describes only certain aspects that show only a partial picture of the perspective of its knowledge organization research. In fact, it is difficult for researchers to get an overview of this field by reviewing such articles. Scientometric methods are expected to help meet this need. This study aims to investigate the centrality indicators in the co-authorship network of articles in the field of knowledge organization.

This research is an applied type that has done with the approach of scientometrics and analysis of social networks. The research records are compiled based on all articles in the two journals of Knowledge Organization and Cataloging & Classification Quarterly as well as 100 keywords related to the field of knowledge organization indexed in Web of Science from 1900 to 2019. Finally, the retrieved records were limited to research papers, conference papers, and review papers and limited to the subject of Library and information filed. Out of 23,525 authors who were involved in the publication of 17,950 articles, 311 with at least 8 articles were analyzed using UCINET software. After that, a square matrix of dimensions 311 by 311 was formed, and finally the co-authorship network was drawn based on the centrality indicators. Bib Excel software was used to draw the matrix and NetDraw software was used to draw the co-authorship network.

Results indicated taht the average number of authors per article is 1.31. 23,525 authors have contributed articles in this field, of which Professor Birger Yorland of the University of Copenhagen, Denmark, is the most active researcher in Knowledge organization with 43 articles. Professor Wolfang J. Stoke of the University of Düsseldorf, Germany, came in second with 36 papers. Professor Borgman of UCLA is third with 31 articles. Analysis of data related to co-authorship analysis indicates that out of 17,950 articles under review, 8964 (49.93%) have been written with the mono-writing approach as the most common approach in knowledge organization and other articles (50.07%) in the format Co-authors have been offered, of which two authors (24.68%) have a larger share. In examining the characteristics of centrality indicators, Zheng, Feroo, Giles, and Goh, gained the top scores in the Degree Centrality, Closeness Centrality, Betweenness Centrality, and Eigen vector, respectively.

According to the results of the present study, it seems that prominent researchers in the field of knowledge organization, despite being productive, have not been able to play a significant role in the formation of the co-authorship network in this field.

Scientific articles that the result of researchers’ thought and endeavor when they are published by accredited journals or indexed in scientific databases, they are cited by other researchers. Indexing the articles in science citation databases increases their visibility and citation opportunities. The present study examines the interrelationship among four variables – namely, co-authorship, number of keywords, number of references, and Inter-institutional collaboration – in 906 articles in Scientific Journals were published in the Persian language in the Field of Agricultural Sciences which bearing impact factor in Islamic Science Citation Center (ISC).

This research is a descriptive one and done by using of survey method. The research instrument included the Advanced Search option of the ISC Science Citation Index and ISC Journal Citation Reports. The data were analyzed using Excel and SPSS.

The results indicate co-authorship and institutional collaboration and the number of references increased article citation counts. However, the number of article keywords doesn’t have a positive effect on the citation.

Conclustion: 

Taking into consideration the factors contributing to citation attraction by research articles, it will be possible to predict future citation rates in addition to providing a measure of quality.

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.