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When and how to use bibliometrics as a screening tool for research performance

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  • Ulrich Schmoch
  • Torben Schubert

Abstract

Scientific performance is often evaluated by bibliometric indicators such as publication counts or citations. But this may neglect other relevant outputs from research units. An optimal evaluation would measure each dimension separately, but this would be costly. Luckily, cluster analyses show that units which specialise in other types of research activities (such as knowledge transfer or education of doctoral students), do not completely ignore publication-related activities. Publication-related outputs can also be disaggregated into quality (measured by citations) and quantity (measured by counts) dimensions. Thus, the performance of research groups can be screened using the Integral Citation (a new bibliometric indicator) which combines the quality and quantity dimensions. Units at the extremes need to be studied in more detail, to avoid measurement biases. Copyright , Beech Tree Publishing.

Suggested Citation

  • Ulrich Schmoch & Torben Schubert, 2009. "When and how to use bibliometrics as a screening tool for research performance," Science and Public Policy, Oxford University Press, vol. 36(10), pages 753-762, December.
    • Handle: RePEc:oup:scippl:v:36:y:2009:i:10:p:753-762
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    File URL: http://hdl.handle.net/10.3152/030234209X481978
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    Citations

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    Cited by:

    1. Mohammad A. Abolghassemi Fakhree & Abolghasem Jouyban, 2011. "Scientometric analysis of the major Iranian medical universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 205-220, April.
    2. Benedetto Lepori & Michael Wise & Diana Ingenhoff & Alexander Buhmann, 2016. "The dynamics of university units as a multi‐level process. Credibility cycles and resource dependencies," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2279-2301, December.
    3. Ulrich Schmoch & Habib M. Fardoun & Abdulfattah S. Mashat, 2016. "Establishing a World-Class University in Saudi Arabia: intended and unintended effects," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1191-1207, November.
    4. Ioana Alexandra HORODNIC, 2014. "Academic Performance: Measurement Methods Used In Socio - Economic Sciences," THE YEARBOOK OF THE "GH. ZANE" INSTITUTE OF ECONOMIC RESEARCHES, Gheorghe Zane Institute for Economic and Social Research ( from THE ROMANIAN ACADEMY, JASSY BRANCH), vol. 23(1), pages 5-17.
    5. Ulrich Schmoch, 2014. "The research output of universities: conceptual and methodological problems," Chapters, in: Andrea Bonaccorsi (ed.), Knowledge, Diversity and Performance in European Higher Education, chapter 4, pages iii-iii, Edward Elgar Publishing.

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