University Rankings: The Web Ranking

Rankings Web , including the Webometrics Ranking of Universities

The Lab starts to work on metrics for evaluation of science and technology about 20 years ago, moving from bibliometrics to webometrics in mid-nineties when Internet became an important tool for scholarly communication. In these two decades the Lab members have published about two hundred papers in peer reviewed journals, participating in about 100 international scientific conferences, attendin...

The University Rankings Game: Modeling the Competition Among Universities for Ranking

With university rankings gaining both in popularity and influence, university administrators develop strategies to improve their rankings. To better understand this competition for ranking, we present an adjacent category logit model to address the localized nature of ranking competition and include lagged rank as an independent variable to account for stickiness of ranking. Calibrating our mod...

Multilevel-statistical reformulation of citation-based university rankings: The Leiden ranking 2011/2012

Since the 1990s, with the heightened competition and the strong growth of the international higher education market, an increasing number of rankings have been created that measure the scientific performance of an institution based on data. The Leiden Ranking 2011/2012 (LR) was published early in 2012. Starting from Goldstein and Spiegelhalter’s (1996) recommendations for conducting quantitativ...

Ranking functions and rankings on languages

The Spohnian paradigm of ranking functions is in many respects like an order-of-magnitude reverse of subjective probability theory. Unlike probabilities, however, ranking functions are only indirectly—via a pointwise ranking function on the underlying set of possibilities W—defined on a field of propositions A over W . This research note shows under which conditions ranking functions on a field...

On the function of university rankings