Model for estimating Academic Ranking of World Universities (Shanghai Ranking) scores

Authors

DOI:

https://doi.org/10.3989/redc.2018.2.1462

Keywords:

international university rankings, research evaluation, Shanghai ranking

Abstract


The interest in global university rankings has grown significantly in the last 10 years. The use of just a handful of indicators, the ease of interpretation of the information they contain and the furtherance of inter-university competition and comparability are some of the factors that have popularised their implementation. However, at the same time their critics have identified some conceptual, technical and methodological issues. This paper addresses three such issues that have prompted intense methodological debate around university rankings: replicability of results, relevance of indicators and data retrieval. It also proposes a tool for estimating the scores for the two indicators of the greatest interest for most universities (Papers published in Nature or Science and Papers listed in the WoS). It reports on an alternative method developed to calculate any university’s score in the two most significant Shanghai ranking indicators. One of the foremost features of the proposed method is that the inputs needed are readily available to policymakers, academic authorities, students and other stakeholders and can be applied directly. Furthermore, with this model, scores can also be estimated for universities not listed among the first 500 in the Shanghai ranking.

Downloads

Download data is not yet available.

References

Andersson, B.; Mayer, T. (2017). University Rankings: Was Academic Life Perfect before Rankings? In: Downing, K. and Ganotice, F. Jr. (eds.), World University Rankings and the Future of Higher Education, pp. 70-86. Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-5225-0819-9.ch004

ARWU. (2015). Ranking Methodology of Academic Ranking of World Universities – 2015. [Online] Available at: http://www.shanghairanking.com/ARWU-Methodology-2015.html [Accessed 1 Nov. 2015].

Billaut, J. C.; Bouyssou, D.; Vincke, P. (2010). Should you believe in the Shanghai ranking? Scientometrics, 84 (1), 237-263. https://doi.org/10.1007/s11192-009-0115-x

Bornmann, L.; Bauer, J. (2015). Which of the world's institutions employ the most highly cited researchers? An analysis of the data from highlycited.com. Journal of the Association for Information Science and Technology, 66 (10), 2146-2148. https://doi.org/10.1002/asi.23396

Dobrota, M.; Dobrota, M. (2016). ARWU ranking uncertainty and sensitivity: What if the award factor was excluded? Journal of the Association for Information Science and Technology, 67 (2), 480-482. https://doi.org/10.1002/asi.23527

Docampo, D. (2013). Reproducibility of the Shanghai academic ranking of world universities results. Scientometrics, 94 (2), 567-587. https://doi.org/10.1007/s11192-012-0801-y

Docampo, D.; Cram, L. (2015). On the effects of institutional size in university classifications: the case of the Shanghai ranking. Scientometrics, 102 (2), 1325-1346. https://doi.org/10.1007/s11192-014-1488-z

Docampo, D.; Egret, D.; Cram, L. (2015). The effect of university mergers on the Shanghai ranking. Scientometrics, 104 (1), 175-191. https://doi.org/10.1007/s11192-015-1587-5

Fiala, D. (2012). Bibliometric analysis of CiteSeer data for countries. Information Processing & Management, 48 (2), 242-253. https://doi.org/10.1016/j.ipm.2011.10.001

Florian, R. V. (2007). Irreproducibility of the results of the Shanghai academic ranking of world universities. Scientometrics, 72 (1), 25-32. https://doi.org/10.1007/s11192-007-1712-1

Fowles, J.; Frederickson, H. G.; Koppell, J. G. S. (2016). University Rankings: Evidence and a Conceptual Framework. Public Administration Review, 76 (5), 790- 803. https://doi.org/10.1111/puar.12610

Garrett, R.R. (2015). rgr: Applied Geochemistry EDA. R package version 1.1.11. http://CRAN.R-project.org/ package=rgr

Gonzalez-Riano, M. G.; Repiso, R.; Lopez-Cozar, E. D. (2014). The impact of university rankings in the Spanish press. Revista Espa-ola de Documentación Científica, 37 (3): e055.

Hazelkorn, E. (2014). Reflections on a Decade of Global Rankings: what we've learned and outstanding issues. European Journal of Education, 49 (1), 12-28. https://doi.org/10.1111/ejed.12059

Jovanovic, M.; Jeremic, V.; Savic, G.; Bulajic, M.; Martic, M. (2012). How does the normalization of data affect the ARWU ranking? Scientometrics, 93 (2), 319-327. https://doi.org/10.1007/s11192-012-0674-0

Lascurain, M.L.; Pandiella-Dominique, A.; Sanz-Casado, E. (2015). The Weight of Databases in World University Rankings: Spanish Universities in ARWU. In: Luque Martínez, T. (ed.), The University of Granada in light of its V Centenary. "Reflections on the Future of the University". Granada: Universidad de Granada.

Liu, N. C.; Cheng, Y.; Liu, L. (2005). Academic ranking of world universities using scientometrics - A comment to the "Fatal Attraction". Scientometrics, 64 (1), 101-109. https://doi.org/10.1007/s11192-005-0241-z

Marginson, S.; Van der Wende, M. (2007). Globalisation and Higher Education. OECD Education Working Papers, No. 8. OECD Publishing (NJ1). https://doi.org/10.1787/173831738240

Moed, H. F. (2002). The impact-factors debate: the ISI's uses and limits. Nature, 415 (6873), 731-732. https://doi.org/10.1038/415731a PMid:11845176

Olcay, G. A.; Bulu, M. (2016). Is measuring the knowledge creation of universities possible?: A review of university rankings. Technological Forecasting and Social Change, 123, 153-160. https://doi.org/10.1016/j.techfore.2016.03.029

O'Leary, J. (2017). The Origins of International Rankings. In: Downing, K. and Ganotice, F. Jr. (eds.), World University Rankings and the Future of Higher Education, pp. 61-69. Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-5225-0819-9.ch003

Pusser, B.; Marginson, S. (2013). University Rankings in Critical Perspective. The Journal of Higher Education 84 (4), 544-568. https://doi.org/10.1353/jhe.2013.0022

Rauhvargers, A. (2011). Global University Rankings and Their Impact (vol. I). Brussels, Belgium: EUA.

Rauhvargers, A. (2013). Global University Rankings and Their Impact II (vol. II). Brussels, Belgium: EUA.

Robinson-Garcia, N.; Jiménez-Contreras, E. (2017). Analyzing the Disciplinary Focus of Universities: Can Rankings Be a One-Size-Fits-All? In: Downing, K. and Ganotice, F. Jr. (eds.), World University Rankings and the Future of Higher Education, pp. 161-185. Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-5225-0819-9.ch009

Saisana, M.; d'Hombres, B.; Saltelli, A. (2011). Rickety numbers: Volatility of university rankings and policy implications. Research Policy, 40 (1), 165-177. https://doi.org/10.1016/j.respol.2010.09.003

Sanz-Casado, E (Ed.) (2015). Guía de buenas prácticas para la participación de las universidades espa-olas en los rankings internacionales. Madrid: Ministerio de Educación, Cultura y Deporte.

Safón, V. (2013). What do global university rankings really measure? The search for the X factor and the X entity. Scientometrics, 97 (2), 223-244. https://doi.org/10.1007/s11192-013-0986-8

Stewart, T. J. (2014). Value measurement theory and league tables. South African Journal of Science, 110 (3-4), 5-6. https://doi.org/10.1590/sajs.2014/a0057

Turner, D. A. (2017). World Class Universities and the Rest. In: Downing, K. and Ganotice, F. Jr. (eds.), World University Rankings and the Future of Higher Education (pp. 109-128). Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-5225-0819-9.ch006

van Raan, A. F. J. (2005a). Academic ranking of world universities using scientometrics - A comment to the "Fatal Attraction" - Reply. Scientometrics, 64 (1), 111- 112. https://doi.org/10.1007/s11192-005-0242-y

van Raan, A. F. J. (2005b). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62 (1), 133- 143. https://doi.org/10.1007/s11192-005-0008-6

van Raan, A. F. J., van Leeuwen T.N.; Visser M.S. (2011). Severe language effect in university rankings: particularly Germany and France are wronged in citation-based rankings. Scientometrics, 88 (2): 495- 498. https://doi.org/10.1007/s11192-011-0382-1 PMid:21836762 PMCid:PMC3125505

Zornic, N.; Markovic, A.; Jeremic, V. (2014). How the top 500 ARWU can provide a misleading rank. Journal of the Association for Information Science and Technology, 65 (6), 1303-1304. https://doi.org/10.1002/asi.23207

Published

2018-06-30

How to Cite

Pandiella-Dominique, A., Moreno-Lorente, L., García-Zorita, C., & Sanz-Casado, E. (2018). Model for estimating Academic Ranking of World Universities (Shanghai Ranking) scores. Revista Española De Documentación Científica, 41(2), e204. https://doi.org/10.3989/redc.2018.2.1462

Issue

Section

Studies