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Document categories in the ISI Web of Knowledge: Misunderstanding the Social Sciences?

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  • Anne-Wil Harzing

    (University of Melbourne)

Abstract

Thomson Reuter’s ISI Web of Knowledge (or ISI for short) is used in the majority of benchmarking analyses and bibliometric research projects. Therefore, it is important to be aware of the limitations of data provided by ISI. This article deals with a limitation that disproportionally affects the Social Sciences: ISI’s misclassification of journal articles containing original research into the “review” or “proceedings paper” category. I report on a comprehensive, 11 year analysis, of document categories for 27 journals in nine Social Science and Science disciplines. I show that although ISI’s “proceedings paper” and “review” classifications seem to work fairly well in the Sciences, they illustrate a profound misunderstanding of research and publication practices in the Social Sciences.

Suggested Citation

  • Anne-Wil Harzing, 2013. "Document categories in the ISI Web of Knowledge: Misunderstanding the Social Sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 23-34, January.
  • Handle: RePEc:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0738-1
    DOI: 10.1007/s11192-012-0738-1
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    References listed on IDEAS

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    Cited by:

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    11. Sánchez-Gil, Susana & Gorraiz, Juan & Melero-Fuentes, David, 2018. "Reference density trends in the major disciplines," Journal of Informetrics, Elsevier, vol. 12(1), pages 42-58.
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    15. Barrios, Maite & Guilera, Georgina & Gómez-Benito, Juana, 2013. "Impact and structural features of meta-analytical studies, standard articles and reviews in psychology: Similarities and differences," Journal of Informetrics, Elsevier, vol. 7(2), pages 478-486.
    16. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "The relationship between the number of authors of a publication, its citations and the impact factor of the publishing journal: Evidence from Italy," Journal of Informetrics, Elsevier, vol. 9(4), pages 746-761.
    17. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
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    19. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
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