A multivariate stochastic model to assess research performance

被引：17

作者：

Abramo, Giovanni ^{[1
]}

Costa, Corrado ^{[2
]}

D'Angelo, Ciriaco Andrea ^{[3
]}

机构：

[1] Natl Res Council Italy, Lab Studies Res & Technol Transfer, Inst Syst Anal & Comp Sci IASI, CNR, Rome, Italy

[2] Consiglio Ric & Sperimentaz Agr CRA, Unita Ric Ingn Agr, Rome, Italy

[3] Univ Roma Tor Vergata, Dept Engn & Management, Rome, Italy

来源：

SCIENTOMETRICS | 2015年 / 102卷 / 02期

关键词：

Research evaluation; Bibliometrics; Stochastic models; SIMCA; University; BIBLIOMETRIC INDICATORS; STATISTICAL PROPERTIES; CLASSIFICATION; DISTRIBUTIONS; UNIVERSITIES; SPECTROSCOPY; CITATIONS;

D O I：

10.1007/s11192-014-1474-5

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

There is a worldwide trend towards application of bibliometric research evaluation, in support of the needs of policy makers and research administrators. However the assumptions and limitations of bibliometric measurements suggest a probabilistic rather than the traditional deterministic approach to the assessment of research performance. The aim of this work is to propose a multivariate stochastic model for measuring the performance of individual scientists and to compare the results of its application with those arising from a deterministic approach. The dataset of the analysis covers the scientific production indexed in Web of Science for the 2006-2010 period, of over 900 Italian academic scientists working in two distinct fields of the life sciences.

引用

页码：1755 / 1772

页数：18

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