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Assessing publication performance of research units: extensions through operational research and economic techniques

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  • Gregory John Lee

    (University of the Witwatersrand)

Abstract

Many quantitative measures exist to assess the publishing outputs of research units such as university departments or institutes. In addition to well-known issues with such measures, further shortcomings include inadequate adjustments for relative entity sizes and researcher intensity, the extent to which research is concentrated among a few rather than all researchers and lags between staffing and publication. This article presents a further array of possible measurement indices, based on operational research and economic ratios, which are capable of adjusting for each of these shortcomings, and which analysts can combine with relatively little effort into existing measures.

Suggested Citation

  • Gregory John Lee, 2010. "Assessing publication performance of research units: extensions through operational research and economic techniques," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 717-734, September.
    • Handle: RePEc:spr:scient:v:84:y:2010:i:3:d:10.1007_s11192-010-0210-z
    DOI: 10.1007/s11192-010-0210-z
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    References listed on IDEAS

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    1. Rolf Sternberg & Timo Litzenberger, 2005. "The publication and citation output of German Faculties of Economics and Social Sciences - a comparison of faculties and disciplines based upon SSCI data," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 29-53, October.
    2. Robert G. Brown & Richard F. Meyer, 1961. "The Fundamental Theorem of Exponential Smoothing," Operations Research, INFORMS, vol. 9(5), pages 673-685, October.
    3. Christian Schloegl & Juan Gorraiz & Christoph Bart & Monika Bargmann, 2003. "Evaluating two Austrian university departments: Lessons learned," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 289-299, March.
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    Cited by:

    1. Alona Zharova & Janine Tellinger-Rice & Wolfgang Karl Härdle, 2018. "How to measure the performance of a Collaborative Research Center," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1023-1040, November.
    2. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2014. "Comparison of the effect of mean-based method and z-score for field normalization of citations at the level of Web of Science subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1679-1693, December.
    3. Richard S. J. Tol, 2012. "Shapley values for assessing research production and impact of schools and scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 763-780, March.
    4. repec:hum:wpaper:sfb649dp2018-001 is not listed on IDEAS
    5. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2015. "Improving the normalization effect of mean-based method from the perspective of optimization: optimization-based linear methods and their performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 587-607, January.

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