This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (566) Scientometrics, Infometrics, and Altmetrics (107) Quality/Credibility of eHealth Information and Trust Issues (599)

Published on in Vol 24, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28354, first published .
Types of Errors Hiding in Google Scholar Data

Types of Errors Hiding in Google Scholar Data

Types of Errors Hiding in Google Scholar Data

Authors of this article:

Romy Sauvayre1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (75) Metrics

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  3. Davis L, Gilmore C, Vargus A, Ogbeifun H, Chun Y, Frei C. Comparison of h-index and other bibliometrics in Google Scholar and Scopus for articles published by translational science trainees. Humanities and Social Sciences Communications 2025;12(1) View
  4. Mantlana B, Nondlazi B, Naidoo S, Ramoelo A. Insights on Who Funds Climate Change Adaptation Research in South Africa. Sustainability 2025;17(5):1993 View
  5. Uzundurukan A, Nelson M, Teske C, Islam M, Mohamed E, Christy J, Martin H, Muratov E, Glover S, Fuoco D. Meta-analysis and review of in silico methods in drug discovery – part 1: technological evolution and trends from big data to chemical space. The Pharmacogenomics Journal 2025;25(3) View
  6. Atwood G, Swogger S. Generative AI and the Myth of Universal Search: Implications for Librarians. Journal of Electronic Resources in Medical Libraries 2025:1 View

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