Do Universities or Research Institutions With a Specific Subject Profile Have an Advantage or a Disadvantage in Institutional Rankings? A Latent Class Analysis With Data From the SCImago Ranking

Lutz Bornmann (), Felix de Moya Anegón and Rüdiger Mutz

Journal of the American Society for Information Science and Technology, 2013, vol. 64, issue 11, 2310-2316

Abstract: Using data compiled for the SCImago Institutions Ranking, we look at whether the subject area type an institution (university or research‐focused institution) belongs to (in terms of the fields researched) has an influence on its ranking position. We used latent class analysis to categorize institutions based on their publications in certain subject areas. Even though this categorization does not relate directly to scientific performance, our results show that it exercises an important influence on the outcome of a performance measurement: Certain subject area types of institutions have an advantage in the ranking positions when compared with others. This advantage manifests itself not only when performance is measured with an indicator that is not field‐normalized but also for indicators that are field‐normalized.

Date: 2013
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