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

被引：32

作者：

Bonaccorsi, Andrea ^{[1
,2
]}

Secondi, Luca ^{[3
]}

机构：

[1] Univ Pisa, Pisa, Italy

[2] IRVAPP FBK, Trento, Italy

[3] Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst DIBAF, Viterbo, Italy

来源：

SCIENTOMETRICS | 2017年 / 112卷 / 03期

关键词：

Research performance; European universities; Citation analysis; Multilevel modelling; HIGHER-EDUCATION; SCIENTIFIC PRODUCTIVITY; RESEARCH GRANTS; ECONOMIES; IMPACT; MOBILITY; COLLABORATION; EFFICIENCY; DECISIONS; SELECTION;

D O I：

10.1007/s11192-017-2442-7

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1147 / 1178

页数：32

共 139 条

[1]

Agresti A., 2003, CATEGORICAL DATA ANA

[2] Are mobile researchers more productive and cited than non-mobile researchers? A large-scale study of Norwegian scientists [J].