WURS: a simulation software for university rankings-software review

Siniksaran E., SATMAN M. H.

SCIENTOMETRICS, vol.122, no.1, pp.701-717, 2020 (SCI-Expanded, SSCI, Scopus) identifier identifier

  • Publication Type: Article / Review
  • Volume: 122 Issue: 1
  • Publication Date: 2020
  • Doi Number: 10.1007/s11192-019-03269-8
  • Journal Name: SCIENTOMETRICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, FRANCIS, Agricultural & Environmental Science Database, Applied Science & Technology Source, BIOSIS, CINAHL, Computer & Applied Sciences, Index Islamicus, Information Science and Technology Abstracts, INSPEC, Library and Information Science Abstracts, PAIS International, RILM Abstracts of Music Literature, Sociological abstracts, zbMATH, Library, Information Science & Technology Abstracts (LISTA)
  • Page Numbers: pp.701-717
  • Keywords: University rankings, Simulation, THE, QS, ARWU, WURS, SHANGHAI ACADEMIC RANKING, POLICY
  • Istanbul University Affiliated: Yes

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.