Fallah, Mohammad, Fahimifar, Sepideh, Noruzi, Alireza and Ghorbi, Ali Application of Lotka’s Law and i10-Index with the Number of Authors of Articles in Chemistry in Iran Published between 2000 and 2020. Informology, 2023, vol. 2, n. 1, pp. 63-76. [Journal article (Paginated)]
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English abstract
The primary objective of the current research is to compare Lotka's law of author productivity and the Google Scholar i10-Index with the number of authors and their articles in the field of chemistry in Iran indexed in the Web of Science (WoS) from 2000 to 2020. This study is a descriptive-qualitative type of research that was carried out using the scientometric approach. The statistical population of the present study consisted of all Iranian articles published in the field of chemistry indexed in the Science Citation Index Expanded. Some scientometric software packages were used to analyze the data with Lotka’s law and i10-index. The most prolific Iranian authors in chemistry were Mohamadreza Ganjali from the University of Tehran, Majid Heravi from Alzahra University, and Mojtaba Shamsipur from the Razi University of Kermanshah, all being acclaimed scientists in Iran. The results suggest that the validity of Lotka’s law was not confirmed in measuring Iranian authors' productivity in the field of chemistry. However, it is hard to draw a negative conclusion about the validity of Lotka’s law from a single experiment. Moreover, investigating the i10-index revealed that 85% of the Iranian authors with more than one publication have an i10-index. The results also indicated that the validity of Lotka’s law cannot be confirmed, considering the Iranian chemistry papers indexed in the WoS. Furthermore, the results imply that the i10-index closely follows the authors with over one published paper and presents a high capability application in this field as a credible index.
Item type: | Journal article (Paginated) |
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Keywords: | Lotka's law, i10-index, Publication frequency, Authors, Chemistry, Iran |
Subjects: | B. Information use and sociology of information > BB. Bibliometric methods |
Depositing user: | Dr. Alireza Noruzi |
Date deposited: | 27 Jul 2023 06:18 |
Last modified: | 12 Apr 2024 21:18 |
URI: | http://hdl.handle.net/10760/44595 |
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