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Uncovering excellence in academic rankings: a closer look at the Shanghai ranking

Author

Listed:
  • Catherine Dehon

    (Université Libre de Bruxelles)

  • Alice McCathie

    (Université Libre de Bruxelles)

  • Vincenzo Verardi

    (Université Libre de Bruxelles
    University of Namur)

Abstract

In this paper, we examine whether the quality of academic research can be accurately captured by a single aggregated measure such as a ranking. With Shanghai University’s Academic Ranking of World Universities as the basis for our study, we use robust principal component analysis to uncover the underlying factors measured by this ranking. Based on a sample containing the top 150 ranked universities, we find evidence that, for the majority of these institutions, the Shanghai rankings reflect not one but in fact two different and uncorrelated aspects of academic research: overall research output and top-notch researchers. Consequently, the relative weight placed upon these two factors determines to a large extent the final ranking.

Suggested Citation

  • Catherine Dehon & Alice McCathie & Vincenzo Verardi, 2010. "Uncovering excellence in academic rankings: a closer look at the Shanghai ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 515-524, May.
    • Handle: RePEc:spr:scient:v:83:y:2010:i:2:d:10.1007_s11192-009-0076-0
    DOI: 10.1007/s11192-009-0076-0
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    References listed on IDEAS

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    1. Vincenzo Verardi & Catherine Dehon, 2010. "Multivariate outlier detection in Stata," Stata Journal, StataCorp LP, vol. 10(2), pages 259-266, June.
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    Cited by:

    1. Quentin Max David, 2014. "Determinants of research production at top US Universities," ULB Institutional Repository 2013/194594, ULB -- Universite Libre de Bruxelles.
    2. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    3. Ludo Waltman & Clara Calero-Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan Eck & Thed N. Leeuwen & Anthony F.J. Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
    4. Milica Jovanovic & Veljko Jeremic & Gordana Savic & Milica Bulajic & Milan Martic, 2012. "How does the normalization of data affect the ARWU ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 319-327, November.
    5. Domingo Docampo, 2013. "Reproducibility of the Shanghai academic ranking of world universities results," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 567-587, February.
    6. Domingo Docampo & Lawrence Cram, 2014. "On the internal dynamics of the Shanghai ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1347-1366, February.
    7. Domingo Docampo, 2012. "Adjusted sum of institutional scores as an indicator of the presence of university systems in the ARWU ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 701-713, February.
    8. Daniel Torres-Salinas & Jose G. Moreno-Torres & Emilio Delgado-López-Cózar & Francisco Herrera, 2011. "A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ 2 A index," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 771-786, September.
    9. Lutz Bornmann & Loet Leydesdorff, 2011. "Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
    10. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    11. Antonio Fernández-Cano & Elvira Curiel-Marin & Manuel Torralbo-Rodríguez & Mónica Vallejo-Ruiz, 2018. "Questioning the Shanghai Ranking methodology as a tool for the evaluation of universities: an integrative review," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2069-2083, September.
    12. Veljko Jeremic & Milica Bulajic & Milan Martic & Zoran Radojicic, 2011. "A fresh approach to evaluating the academic ranking of world universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 587-596, June.
    13. Quentin Max David, 2013. "Determinants of Research Production at Top Universities," Working Papers TIMES² 2014-007, ULB -- Universite Libre de Bruxelles.
    14. Shahryar Rahnamayan & Sedigheh Mahdavi & Kalyanmoy Deb & Azam Asilian Bidgoli, 2020. "Ranking Multi-Metric Scientific Achievements Using a Concept of Pareto Optimality," Mathematics, MDPI, vol. 8(6), pages 1-46, June.
    15. Monacciani, Fabiana, 2010. "University departments evaluation: a multivariate approach," MPRA Paper 24224, University Library of Munich, Germany.
    16. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "Evaluating university research: Same performance indicator, different rankings," Journal of Informetrics, Elsevier, vol. 9(3), pages 514-525.
    17. Massucci, Francesco Alessandro & Docampo, Domingo, 2019. "Measuring the academic reputation through citation networks via PageRank," Journal of Informetrics, Elsevier, vol. 13(1), pages 185-201.
    18. Osmo Kivinen & Juha Hedman & Päivi Kaipainen, 2013. "Productivity analysis of research in Natural Sciences, Technology and Clinical Medicine: an input–output model applied in comparison of Top 300 ranked universities of 4 North European and 4 East Asian," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 683-699, February.
    19. Vicente Safón & Domingo Docampo, 2020. "Analyzing the impact of reputational bias on global university rankings based on objective research performance data: the case of the Shanghai Ranking (ARWU)," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2199-2227, December.
    20. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Soldatenkova, Anastasiia, 2016. "The ratio of top scientists to the academic staff as an indicator of the competitive strength of universities," Journal of Informetrics, Elsevier, vol. 10(2), pages 596-605.
    21. Domingo Docampo, 2011. "On using the Shanghai ranking to assess the research performance of university systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 77-92, January.
    22. Domingo Docampo & Lawrence Cram, 2015. "On the effects of institutional size in university classifications: the case of the Shanghai ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1325-1346, February.
    23. Alan Peter Matthews, 2012. "South African universities in world rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 675-695, September.

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