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

Catherine Dehon (), Alice McCathie and Vincenzo Verardi
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Alice McCathie: Université Libre de Bruxelles

Scientometrics, 2010, vol. 83, issue 2, No 15, 515-524

Abstract: 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.

Keywords: PCA; Ranking; RMCD; Robustness; Shanghai; University (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (24)

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DOI: 10.1007/s11192-009-0076-0

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