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ResearchGate and Google Scholar: how much do they differ in publications, citations and different metrics and why?

Author

Listed:
  • Vivek Kumar Singh

    (Banaras Hindu University)

  • Satya Swarup Srichandan

    (Banaras Hindu University)

  • Hiran H. Lathabai

    (Banaras Hindu University)

Abstract

ResearchGate has emerged as a popular professional network for scientists and researchers in a very short span. Similar to Google Scholar, the ResearchGate indexing uses an automatic crawling algorithm that extracts bibliographic data, citations, and other information about scholarly articles from various sources. However, it has been observed that the two platforms often show different publication and citation data for the same institutions, journals, and authors. While several previous studies analysed different aspects of ResearchGate and Google Scholar, the quantum of differences in publications, citations, and metrics between the two and the probable reasons for the same are not explored much. This article, therefore, attempts to bridge this research gap by analysing and measuring the differences in publications, citations, and different metrics of the two platforms for a large data set of highly cited authors. The results indicate that there are significantly high differences in publications and citations for the same authors captured by the two platforms, with Google Scholar having higher counts for a vast majority of the cases. The different metrics computed by the two platforms also differ in their values, showing different degrees of correlation. The coverage policy, indexing errors, author attribution mechanism, and strategy to deal with predatory publishing are found to be the main probable reasons for the differences in the two platforms.

Suggested Citation

  • Vivek Kumar Singh & Satya Swarup Srichandan & Hiran H. Lathabai, 2022. "ResearchGate and Google Scholar: how much do they differ in publications, citations and different metrics and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1515-1542, March.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:3:d:10.1007_s11192-022-04264-2
    DOI: 10.1007/s11192-022-04264-2
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    References listed on IDEAS

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    Cited by:

    1. Hiran H. Lathabai & Thara Prabhakaran, 2023. "Contextual Ψ-index and its estimate for contextual productivity assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4875-4886, August.
    2. Weiwei Yan & Xin Wen & Yin Zhang & Sonali Kudva & Qian Liu, 2023. "The dynamics of Q&A in academic social networking sites: insights from participants, interaction network, response time, and discipline differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1895-1922, March.

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