Analysis and Visualization of Scientific Production of Iranian Researchers on E-learning in the Web of Science Database

Document Type : Original Article

Authors

1 Assistant Professor, Department of Knowledge and Information Science, University of Qom, Qom (Corresponding author), Iran.

2 M.A. student in Knowledge and Information Science, Department of Knowledge and Information Science, University of Qom, Qom, Iran.

Abstract

The purpose of this research is to analyze the indexed scientific productions of Iranian researchers related to e-learning based on Web.of.Science. This research is applied and carried out with a scientometric approach. The statistical population of this research is all indexed scientific productions of Iranian researchers during the years 1981 to the end of October 2023. The findings showed that Iran has 517 information records in the subject area of e-learning in the Web.of.Science database. Among Iranian universities, Islamic Azad University ranks first with 119 records, Tehran University with 72 records, and Tarbiat Madras University with 37 records are in the next ranks. The results showed that among the authors, Ahmed Aghakardan ranks first with 17 records, and Fattaneh Taghiyareh and Hamed Fazlollahtabar rank next with 16 and 10 records, respectively. The most scientific productions are related to 2022, which includes 62 records. In recent years, the progress of scientific works has been upward. More than 57% of the productions were articles, 36% were trend articles, and 4% included review articles. E-learning graph drawing is a dynamic and complex field that can be used to study the relationships between different subjects. The keywords that make up the scientific records are classified into 7 general clusters, and the e-learning cluster has a higher degree of centrality; the density map also shows this. Therefore; the illustration of the keyword “e-learning” is a dense and highly interconnected network.

Keywords

References

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History

  • Receive Date: 28 May 2024
  • Revise Date: 07 June 2024
  • Accept Date: 19 June 2024

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