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Measuring the research contribution of management academics using the Hirsch-index

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  • J Mingers

    (University of Kent)

Abstract

There is an increasing emphasis on the use of metrics for assessing the research contribution of academics, departments, journals or conferences. Contribution has two dimensions: quantity which can be measured by number/size of the outputs, and quality which is most easily measured by the number of citations. Recently, Hirsch proposed a new metric which is simple, combines both quality and quantity in one number, and is robust to measurement problems. This paper applies the Hirsch-index (h-index) to three groups of management academics—BAM Fellows, INFORMS Fellows and members of COPIOR—in order to evaluate the extent to which the h-index would serve as a reliable measure of the contribution of researchers in the management field.

Suggested Citation

  • J Mingers, 2009. "Measuring the research contribution of management academics using the Hirsch-index," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1143-1153, September.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:9:d:10.1057_jors.2008.94
    DOI: 10.1057/jors.2008.94
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    References listed on IDEAS

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    Cited by:

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    5. Ya Lan WANG & Tainyi LUOR & Pin LUARN & Hsi-peng LU, 2015. "Contribution and Trend to Quality Research—a literature review of SERVQUAL model from 1998 to 2013," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 19(1), pages 34-45.
    6. Zhenbin Yan & Qiang Wu & Xingchen Li, 2016. "Do Hirsch-type indices behave the same in assessing single publications? An empirical study of 29 bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1815-1833, December.
    7. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
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    9. Chihli Hung & Wei-Chao Lin, 2022. "VisualRPI: Visualizing Research Productivity and Impact," Sustainability, MDPI, vol. 14(13), pages 1-11, June.
    10. Qurat-ul Ain & Hira Riaz & Muhammad Tanvir Afzal, 2019. "Evaluation of h-index and its citation intensity based variants in the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 187-211, April.
    11. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    12. Dean A. Shepherd & Holger Patzelt, 2023. "Lean scholarship," Small Business Economics, Springer, vol. 60(3), pages 843-863, March.
    13. Sigifredo Laengle & José M. Merigó & Nikunja Mohan Modak & Jian-Bo Yang, 2020. "Bibliometrics in operations research and management science: a university analysis," Annals of Operations Research, Springer, vol. 294(1), pages 769-813, November.
    14. Yves Fassin, 2021. "Does the Financial Times FT50 journal list select the best management and economics journals?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5911-5943, July.
    15. Bornmann, Lutz & Marx, Werner, 2012. "HistCite analysis of papers constituting the h index research front," Journal of Informetrics, Elsevier, vol. 6(2), pages 285-288.
    16. Marta Cardin & Marco Corazza & Stefania Funari & Silvio Giove, 2011. "A fuzzy-based scoring rule for author ranking," Working Papers 2011_11, Department of Economics, University of Venice "Ca' Foscari".
    17. Muhammad Imtiaz Subhani & Amber Osman & Syed Akif Hasan & Muhammad Saad & Sabeen Mir, 2013. "Formulation of Advanced H-Index: The S-Index," South Asian Journal of Management Sciences (SAJMS), Iqra University, Iqra University, vol. 7(2), pages 63-70, Fall.
    18. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
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    20. Mei Hsiu-Ching Ho & John S. Liu, 2013. "The motivations for knowledge transfer across borders: the diffusion of data envelopment analysis (DEA) methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 397-421, January.
    21. Fiorenzo Franceschini & Domenico Maisano & Anna Perotti & Andrea Proto, 2010. "Analysis of the ch-index: an indicator to evaluate the diffusion of scientific research output by citers," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 203-217, October.

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