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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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    1. Martin-Martin, Alberto & Orduna-Malea, Enrique & Harzing, Anne-Wil & Delgado López-Cózar, Emilio, 2017. "Can we use Google Scholar to identify highly-cited documents?," Journal of Informetrics, Elsevier, vol. 11(1), pages 152-163.
    2. Tol, Richard S.J., 2008. "A rational, successive g-index applied to economics departments in Ireland," Journal of Informetrics, Elsevier, vol. 2(2), pages 149-155.
    3. Tatiana Marina & Ivan Sterligov, 2021. "Prevalence of potentially predatory publishing in Scopus on the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5019-5077, June.
    4. Hamid R. Jamali, 2017. "Copyright compliance and infringement in ResearchGate full-text journal articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 241-254, July.
    5. Mike Thelwall & Kayvan Kousha, 2017. "ResearchGate versus Google Scholar: Which finds more early citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1125-1131, August.
    6. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    7. Halevi, Gali & Moed, Henk & Bar-Ilan, Judit, 2017. "Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the Literature," Journal of Informetrics, Elsevier, vol. 11(3), pages 823-834.
    8. Tatiana Marina & Ivan Sterligov, 2021. "Correction to: Prevalence of potentially predatory publishing in Scopus on the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5079-5079, June.
    9. Joost C. F. Winter & Amir A. Zadpoor & Dimitra Dodou, 2014. "The expansion of Google Scholar versus Web of Science: a longitudinal study," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1547-1565, February.
    10. Isidro F. Aguillo, 2012. "Is Google Scholar useful for bibliometrics? A webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 343-351, May.
    11. Michael Gusenbauer, 2019. "Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 177-214, January.
    12. Yan, Weiwei & Zhang, Yin, 2018. "Research universities on the ResearchGate social networking site: An examination of institutional differences, research activity level, and social networks formed," Journal of Informetrics, Elsevier, vol. 12(1), pages 385-400.
    13. Lathabai, Hiran H., 2020. "ψ-index: A new overall productivity index for actors of science and technology," Journal of Informetrics, Elsevier, vol. 14(4).
    14. Mike Thelwall & Kayvan Kousha, 2017. "ResearchGate articles: Age, discipline, audience size, and impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(2), pages 468-479, February.
    15. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    16. Richard S. J. Tol, 2009. "The h-index and its alternatives: An application to the 100 most prolific economists," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 317-324, August.
    17. Enrique Orduna-Malea & Alberto Martín-Martín & Mike Thelwall & Emilio Delgado López-Cózar, 2017. "Do ResearchGate Scores create ghost academic reputations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 443-460, July.
    18. Jongwook Lee & Sanghee Oh & Hang Dong & Fang Wang & Gary Burnett, 2019. "Motivations for self‐archiving on an academic social networking site: A study on researchgate," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(6), pages 563-574, June.
    19. Mike Thelwall & Kayvan Kousha, 2015. "ResearchGate: Disseminating, communicating, and measuring Scholarship?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(5), pages 876-889, May.
    20. Sergio Copiello, 2019. "Research Interest: another undisclosed (and redundant) algorithm by ResearchGate," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 351-360, July.
    21. Sergio Copiello & Pietro Bonifaci, 2019. "ResearchGate Score, full-text research items, and full-text reads: a follow-up study," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1255-1262, May.
    22. Lepori, Benedetto & Thelwall, Michael & Hoorani, Bareerah Hafeez, 2018. "Which US and European Higher Education Institutions are visible in ResearchGate and what affects their RG score?," Journal of Informetrics, Elsevier, vol. 12(3), pages 806-818.
    23. Martín-Martín, Alberto & Costas, Rodrigo & van Leeuwen, Thed & Delgado López-Cózar, Emilio, 2018. "Evidence of open access of scientific publications in Google Scholar: A large-scale analysis," Journal of Informetrics, Elsevier, vol. 12(3), pages 819-841.
    24. Richard Van Noorden, 2014. "Online collaboration: Scientists and the social network," Nature, Nature, vol. 512(7513), pages 126-129, August.
    25. Hamid R. Jamali & Majid Nabavi, 2015. "Open access and sources of full-text articles in Google Scholar in different subject fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1635-1651, December.
    26. Sergio Copiello & Pietro Bonifaci, 2018. "A few remarks on ResearchGate score and academic reputation," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 301-306, January.
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    3. Silva, Emmanuel Marques & Moreira, Rafael de Lacerda & Bortolon, Patricia Maria, 2023. "Mental Accounting and decision making: a systematic literature review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).

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