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arXiv · 1810.12827

A multivariate stochastic model to assess research performance

Giovanni Abramo·Corrado Costa·Ciriaco Andrea D'Angelo
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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.

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Giovanni Abramo, Corrado Costa, Ciriaco Andrea D'Angelo. 2018-10-30. A multivariate stochastic model to assess research performance. https://doi.org/10.1007/s11192-014-1474-5

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