Document Type : Research Paper
Authors
1
Associate professor, Department of Knowledge and Information Science, Payame Noor University, Tehran, Iran.
2
Associate professor, Department of Knowledge and Information Science, Payame Noor University, Tehran, Iran .
3
M.A. in Knowledge and Information Science, Payame Noor University, Tehran, Iran.
Abstract
Introduction & Objective: One of the important indicators of the country's development is scientific development. Evaluation of scientific productions in different fields shows the path taken for the scientific development of that field. The use of co-words and co-authorship analysis is a common method in drawing a network of scientific fields. The purpose of this study is to analyze and visualize the scientific maps of Persian research on information technology (IT) based on articles indexed in during a decade in Iranian Science Citation Index (ISC) database from period 2009 to 2019.
Research Method: The present study was an applied and using both co-authorship, co-words and social network analysis. The statistical population included 2107 articles indexed in the field of IT in the Iranian Science Citation Index. Data were extracted from 9 specialized journals in IT, that indexed in the Iranian Science Citation Index database, and keyword search for the phrase "IT" in the title field of the article search page of this database, which included articles from 287 journals. To analyze the data, "Bibexcel", "Vosviewer", "Ucinet" and "Excel" software were used.
Results: The results showed that the average participation of authors per article was 2.61. "Hamid Hassanpour" with 20 articles and "Mohammad Javad Valdan Zoj" with 19 articles were the top authors in number article and "Abolfazl Shahabadi" and "Manouchehr Manteghi" with 49 and 40 citations of their articles were the most cited authors in the field of IT, respectively. The average number of citations to articles was less than one and equal to 0.95. Articles on "Organizational Agility" and "Open Innovation" were identified as the most cited articles in this field. The average number of sources per article was 29.8 sources. Male authors alone produced 52.7 percent of the articles and female authors alone 4.8 percent of the articles, and the number of contribution produced articles was 42.5 percent of all articles. 39.7 percent of the articles were published in the form of three authors. The largest co-authorship network consisted of 35 authors. "Mohammad Javad Valdan Zoj", "Sepehr Ghazi Nouri" and "Maghsoud Amiri" were the top authors in the field of IT in terms of degree, betweenness and closeness centralities, respectively. The keywords "ICT", "IT" and "Knowledge Management" were the three most frequently used keywords in this field. The most common pair of co-words in this field was "knowledge management-IT". The subject clusters in the field of IT were "Genetic Algorithm", "IT", "Knowledge-Based Development", "Research and Innovation", "Human Resources Productivity", "Higher Education", "Electronic Development" and cluster "Knowledge Management".
Conclusion: There is a need to pay more attention to the production of articles related to specialized topics in the field of information technology for subject accumulation. Special attention to the quality of the content of articles and the need for mor women to participate in the production of article in the field of IT seems necessary.
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