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Indicators as judgment devices: An empirical study of citizen bibliometrics in research evaluation

Author

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  • Björn Hammarfelt
  • Alexander D. Rushforth

Abstract

A researcher’s number of publications has been a fundamental merit in the competition for academic positions since the late 18th century. Today, the simple counting of publications has been supplemented with a whole range of bibliometric indicators, which supposedly not only measures the volume of research but also its impact. In this study, we investigate how bibliometrics are used for evaluating the impact and quality of publications in two specific settings: biomedicine and economics. Our study exposes the various metrics used in external evaluations of candidates for academic positions at Swedish universities. Moreover, we show how different bibliometric indicators, both explicitly and implicitly, are employed to assess and rank candidates. Our findings contribute to a further understanding of bibliometric indicators as ‘judgment devices’ that are employed in evaluating individuals and their published works within specific fields. We also show how ‘expertise’ in using bibliometrics for evaluative purposes is negotiated at the interface between domain knowledge and skills in using indicators. In line with these results, we propose that the use of metrics we report is best described as a form of ‘citizen bibliometrics’—an underspecified term which we build upon in the article.

Suggested Citation

  • Björn Hammarfelt & Alexander D. Rushforth, 2017. "Indicators as judgment devices: An empirical study of citizen bibliometrics in research evaluation," Research Evaluation, Oxford University Press, vol. 26(3), pages 169-180.
  • Handle: RePEc:oup:rseval:v:26:y:2017:i:3:p:169-180.
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    Citations

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    Cited by:

    1. Judit Dobránszki & Jaime A. Teixeira da Silva, 2019. "Corrective factors for author- and journal-based metrics impacted by citations to accommodate for retractions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 387-398, October.
    2. Kyle J. Burghardt & Bradley H. Howlett & Audrey S. Khoury & Stephanie M. Fern & Paul R. Burghardt, 2020. "Three Commonly Utilized Scholarly Databases and a Social Network Site Provide Different, But Related, Metrics of Pharmacy Faculty Publication," Publications, MDPI, vol. 8(2), pages 1-10, April.
    3. Stephan Puehringer & Georg Wolfmayr, 2023. "Competitive Performativity of (Academic) Social Networks. The subjectivation of Competition on ResearchGate, Google Scholar and Twitter," ICAE Working Papers 150, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    4. Sven Helmer & David B. Blumenthal & Kathrin Paschen, 2020. "What is meaningful research and how should we measure it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 153-169, October.
    5. Eugenio Petrovich, 2022. "Bibliometrics in Press. Representations and uses of bibliometric indicators in the Italian daily newspapers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2195-2233, May.
    6. Ramón A. Feenstra & Emilio Delgado López-Cózar, 2022. "Philosophers’ appraisals of bibliometric indicators and their use in evaluation: from recognition to knee-jerk rejection," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2085-2103, April.
    7. Anne K. Krüger, 2020. "Quantification 2.0? Bibliometric Infrastructures in Academic Evaluation," Politics and Governance, Cogitatio Press, vol. 8(2), pages 58-67.
    8. Alessandro Margherita & Gianluca Elia & Claudio Petti, 2022. "What Is Quality in Research? Building a Framework of Design, Process and Impact Attributes and Evaluation Perspectives," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    9. Nadia Simoes & Nuno Crespo, 2020. "A flexible approach for measuring author-level publishing performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 331-355, January.
    10. Mike Thelwall & Kayvan Kousha, 2021. "Researchers’ attitudes towards the h-index on Twitter 2007–2020: criticism and acceptance," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5361-5368, June.
    11. Simoes, Nadia & Crespo, Nuno, 2020. "Self-Citations and scientific evaluation: Leadership, influence, and performance," Journal of Informetrics, Elsevier, vol. 14(1).
    12. Lin Zhu & Junjie Zhang & Scott W. Cunningham, 2022. "Domain expertise extraction for finding rising stars," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5475-5495, September.
    13. David A. Pendlebury, 2019. "Charting a path between the simple and the false and the complex and unusable: Review of Henk F. Moed, Applied Evaluative Informetrics [in the series Qualitative and Quantitative Analysis of Scientifi," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 549-560, April.
    14. Stephan Puehringer, 2023. "Wie viel Wettbewerb wollen wir (uns leisten)? Zur Verwettbewerblichung der Universitaeten in Oesterreich und darueber hinaus," ICAE Working Papers 149, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    15. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2019. "Evaluating research and researchers by the journal impact factor: Is it better than coin flipping?," Journal of Informetrics, Elsevier, vol. 13(1), pages 314-324.

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