Economics at your fingertips  

The determinants of research performance in European universities: a large scale multilevel analysis

Andrea Bonaccorsi () and Luca Secondi
Additional contact information
Andrea Bonaccorsi: Universita degli Studi di Pisa and IRVAPP-FBK
Luca Secondi: Agro-Food and Forest Systems (DIBAF) - University of Tuscia

Scientometrics, 2017, vol. 112, issue 3, 1147-1178

Abstract: Abstract The paper examines the research performance of European universities in a disaggregated way, using a large array of indicators from Scopus publications, including indicators of volume (number of articles; number of citations) and indicators of quality (percentage of publications in top 10% and top 25% SNIP journals; percentage of citations from top 10% and top 25% journals). These indicators are considered dependent variables in a multi-level estimation framework, in which research performance in a scientific area depends on variables at the level of university and at the level of the external regional environment. The area examined is Medicine, for the 2007–2010 period. The paper exploits for the first time the integration of publication data with the census of European universities (ETER). A large number of hypotheses are tested and discussed.

Keywords: Research performance; European universities; Citation analysis; Multilevel modelling (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2019-05-21
Handle: RePEc:spr:scient:v:112:y:2017:i:3:d:10.1007_s11192-017-2442-7