1. Subject-Related Research Metrics in Different Scientometrics Platforms.
- Author
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Khorasani, Mahyar
- Subjects
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DATABASES , *COMPUTER software , *MEDICAL information storage & retrieval systems , *ACCOUNTING , *BIBLIOMETRICS , *SERIAL publications , *QUANTITATIVE research , *PSYCHOLOGY , *CITATION analysis , *MATHEMATICS , *ECONOMICS , *HUMANITIES , *SCIENCE , *AUTHORSHIP , *ALGORITHMS - Abstract
This article investigates subject-related research metrics from the most popular scientometrics platforms with the capability of citation count. Quantitative analyses have been carried out to determine the most- to the least-cited subject areas to indicate the most active and dynamic fields in research. Subject areas are classified based on statistical analyses and the number of citations received in the period of search. Numerous articles were analyzed from top-ranked journals in all research fields covered by SCImago journal classification. A comprehensive data set was generated in 27 research subject areas, including 313 subject categories and 81 high-ranked journals. Results showed that the highest number of citations were related to the sciences and science-related subject areas. The subject areas of computer science and mathematics had the lowest research metrics and the smallest number of highly cited publications. Web of Science performed better than Scopus for subject-related evaluations. Analysis of frequency data showed that Google Scholar cited fewer papers for low-cited publications than did Scopus or Web of Science. For highly cited publications, however, Google Scholar was found to have better performance. Web of Science showed the best consistency in citation coverage in most of the investigated subject areas. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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