A multivariate stochastic model to assess research performance

Giovanni Abramo (), Corrado Costa () and Ciriaco Andrea D’Angelo ()
Additional contact information
Giovanni Abramo: National Research Council of Italy
Corrado Costa: Unità di ricerca per l’Ingegneria Agraria
Ciriaco Andrea D’Angelo: University of Rome “Tor Vergata”

Scientometrics, 2015, vol. 102, issue 2, No 35, 1755-1772

Abstract: Abstract 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.

Keywords: Research evaluation; Bibliometrics; Stochastic models; SIMCA; University (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11192-014-1474-5

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