Bibliometric statistical properties of the 100 largest European universities: prevalent scaling rules in the science system
Anthony F. J. van Raan

TL;DR
This study analyzes bibliometric indicators of the 100 largest European universities, revealing size-dependent scaling laws, performance patterns, and citation behaviors that suggest prevalent systemic properties in scientific research output.
Contribution
It uncovers size-dependent scaling rules and performance patterns in university bibliometrics, extending previous findings at the research group level to large universities.
Findings
Size-dependent cumulative advantage in citations for universities.
Lower-performance universities benefit more from size in citation counts.
Higher journal impact correlates with fewer not-cited publications.
Abstract
For the 100 largest European universities we studied the statistical properties of bibliometric indicators related to research performance, field citation density and journal impact. We find a size-dependent cumulative advantage for the impact of universities in terms of total number of citations. In previous work a similar scaling rule was found at the level of research groups. Therefore we conjecture that this scaling rule is a prevalent property of the science system. We observe that lower performance universities have a larger size-dependent cumulative advantage for receiving citations than top-performance universities. We also find that for the lower-performance universities the fraction of not-cited publications decreases considerably with size. Generally, the higher the average journal impact of the publications of a university, the lower the number of not-cited publications. We…
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Taxonomy
TopicsBusiness and Economic Development · Economic and Technological Systems Analysis · Economic and Business Development Strategies
