Fourth Fifth International Conference on Science and Technology Metrics (STMet 2024)
 

 

Comparative Citation Analysis of Highly CitedResearchers in Web of Science and Google Scholar
Rouhallah Khademi, Mansoureh Serati Shirazi
Assistant Prof., Knowledge and Information Science Department Semnan University, Semnan, Iran., Assistant Prof., Islamic World Science & Technology Monitoring and Citation Institute (ISC) Research Department of Scientometrics Shiraz, Iran
Abstract: This study examines the correlation between citation counts in Google Scholar (GS) and Web of Science (WoS) for highly cited researchers across various disciplines. Although citation counts have almost been debated as a measure of research quality, they remain essential for evaluating academic impact. analyzing 2023 Highly Cited Researchers list from Clarivate™, citation trends were tracked over ten years using WoS and Google Scholar via “Publish or Perish” software. Pearson’s correlation coefficient indicated a significant correlation between citations in both databases. Additionally, an independent-sample t-test revealed no significant difference in mean citations between GS and WoS. Exponential regression showed nearly identical growth rates for citations in both databases. The findings suggest that while Google Scholar captures more diverse citations, it correlates well with Web of Science, supporting its use as a valuable, free alternative for citation analysis.
Keywords: Comparative Citation Analysis, Web of Science, Google Scholar Comparative Citation Analysis of Highly CitedResearchers in Web of Science and Google Scholar
DOI:https://doi.org/10.6025/stm/2024/5/240-245
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