Ansari, Masoumeh, Noruzi, Alireza, Fallah, Mohammad, Saedmoucheshi, Sholeh and Valinejadi, Ali Bibliometric Analysis of the Top Ten Percent Iranian Medical Researchers Based on the I10-index and the H-index in Web of Science. Informology, 2022, vol. 1, n. 2, pp. 27-40. [Journal article (Paginated)]
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English abstract
The i10-index is one of the newest scientometric indicators used to evaluate researchers in any field of science. The present study analyzes the top ten percent of Iranian medical researchers using the i10-index in the Web of Science database. The present study is descriptive-analytical research conducted using a scientometric approach. The research population includes the top ten percent of Iranian medical researchers whose publications were indexed in the Web of Science database between 2011 and 2020. Descriptive and inferential statistics and i10-index were used to analyze the data using the HistCite and the BibExcel software. Then, the results were sorted in the Excel software. Finally, the h-index and the number of citations of all researchers were compared with their i10-index. The findings show that in medical sciences, Iran ranked 23rd in the world, sixth in Asia, and first in the Middle East in Web of Science in the period 2011-2020, and the growth of scientific publications shows an upward trend. Moreover, there is a direct and positive relationship between the h-index and the i10-index of the top ten percent of medical researchers. This is confirmed with a correlation of 0.645. Also, a correlation of 0.269 shows a direct and positive relationship between the number of citations and the i10-index of the top ten percent of medical researchers. The results show that there is a positive and direct relationship between the h-index and the number of citations of the top ten percent of Iranian medical researchers with their i10-index.
Item type: | Journal article (Paginated) |
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Keywords: | Bibliometric analysis, Medical sciences, Iranian researchers, Top researchers, Web of Science |
Subjects: | B. Information use and sociology of information > BB. Bibliometric methods |
Depositing user: | Dr. Alireza Noruzi |
Date deposited: | 18 May 2023 06:05 |
Last modified: | 18 May 2023 06:05 |
URI: | http://hdl.handle.net/10760/44363 |
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