Mining university rankings: Publication output and citation impact as their basis
Nicolas Robinson-Garcia, Daniel Torres-Salinas, Enrique Herrera-Viedma, and Domingo Docampo

TL;DR
This study analyzes seven world university rankings and finds that they primarily measure publication output and citation impact, despite methodological differences, with implications for policy and decision-making.
Contribution
It demonstrates that diverse university rankings converge on a single underlying dimension related to research output and impact, clarified through principal component analysis.
Findings
All rankings can be explained by publication and citation metrics.
Methodological differences do not significantly alter the core measurement.
Rankings reflect a common focus on research productivity and impact.
Abstract
World University rankings have become well-established tools that students, university managers and policy makers read and use. Each ranking claims to have a unique methodology capable of measuring the 'quality' of universities. The purpose of this paper is to analyze to which extent these different rankings measure the same phenomenon and what it is that they are measuring. For this, we selected a total of seven world-university rankings and performed a principal component analysis. After ensuring that despite their methodological differences, they all come together to a single component, we hypothesized that bibliometric indicators could explain what is being measured. Our analyses show that ranking scores from whichever of the seven league tables under study can be explained by the number of publications and citations received by the institution. We conclude by discussing policy…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
