Bibliometric Network Analysis utilizing Classified Journal Map

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 170

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شناسه ملی سند علمی:

ITCT23_079

تاریخ نمایه سازی: 1 شهریور 1403

چکیده مقاله:

The bibliometric citation network analysis of over ۸۰۰۰ journals listed in the Journal Citation Reportswith the topic of Computer Science as a field in the time span ۲۰۱۷- ۲۰۲۳ is demonstrated. TheVOSviewer software for integrating the journal mapping and clustering is utilized. Variety of datatechniques are deployed such as citation analysis, centrality analysis, and bibliographic couplingsource to identify the characteristics of the citation network, the groups that constituted the intellectualstructure of the cited journals, and most influential journals. The deployment of Bibliographiccoupling source techniques is adopted as a superior method to investigate the significance andcentrality of the scientific journals among others. The PageRank centrality of journals network basedthrough Matlab software is also successfully calculated.

نویسندگان

Raheleh Ilaghi Hosseini

Department of Computer Engineering,Faculty of Science, Islamic Azad University of Kerman,Iran

Reyhaneh Ilaghi Hosseini

Department of Computer Engineering,Faculty of Science, Islamic Azad University of Kerman,Iran

Seyed Hamid Ghafouri Mahdi Abad

Department of Computer Engineering,Faculty of Science, Islamic Azad University of Kerman,Iran