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WURS: a simulation software for university rankings—software review

Author

Listed:
  • Enis Siniksaran

    (Istanbul University)

  • M. Hakan Satman

    (Istanbul University)

Abstract

The reproducibility of the results of university ranking systems and the problem of how to climb in rankings have been discussed in the literature for a long time. We created the simulation software WURS which can be a useful tool to shed light on these discussions. In this paper, we present the features and usage of WURS.

Suggested Citation

  • Enis Siniksaran & M. Hakan Satman, 2020. "WURS: a simulation software for university rankings—software review," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 701-717, January.
    • Handle: RePEc:spr:scient:v:122:y:2020:i:1:d:10.1007_s11192-019-03269-8
    DOI: 10.1007/s11192-019-03269-8
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    References listed on IDEAS

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    1. Răzvan V. Florian, 2007. "Irreproducibility of the results of the Shanghai academic ranking of world universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 25-32, July.
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    4. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    5. Alan Peter Matthews, 2012. "South African universities in world rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 675-695, September.
    6. M. L. Bougnol & J. H. Dulá, 2013. "A mathematical model to optimize decisions to impact multi-attribute rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 785-796, May.
    7. Jill Johnes, 2018. "University rankings: What do they really show?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 585-606, April.
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    Cited by:

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