We propose an innovative use of the information provided by the Leiden Rankings (LR). Although LR only consider research output of major universities reported in Web of Science, statistical analysis of LRs combined with network mapping can reveal the complexity of research performance...

We investigate how university governance affects research output, measured by patenting and international university research rankings. For both European and U.S. universities, we generate several measures of autonomy, governance, and competition for research funding. We show that university...

"For many institutions, to ignore your university’s ranking is to become invisible, a risky proposition in a competitive search for funding and talent. But rankings tell us little if anything about the education, scholarship or engagement with communities offered by a university. Drawing on a...

We use the UK’s 2014 Research Excellence Framework (REF) to study the attributes of top-scoring (four-star) publications in Economics and Econometrics. Although official documents contain aggregate scores for each institution, we show how these aggregates can be used to infer the score awarded...

Purpose: We address the question of whether differences are statistically significant in the rankings of universities. We propose methods measuring the statistical significance among different universities and illustrate the results by empirical data.Design/methodology/approach: Based on...