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Elsevier, Journal of Informetrics, 1(9), p. 59-68, 2015

DOI: 10.1016/j.joi.2014.11.005

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Unsupervised characterization of research institutions with task-force estimation

This paper is available in a repository.
This paper is available in a repository.

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Abstract

This work aims at establishing the task-force involved in scientific production at the insti-tutional or national level, globally or per area or sub-area of knowledge. In the proposed system, the estimated task-force is further divided into core (permanent members of the institution(s)) and collaborators (more mobile members), and allows normalization of sci-entific production. Research groups/institutions/countries of different sizes/scientific areas can, thus, be directly compared and the time evolution of these groups inspected. Results are pre-sented for the characterization of four universities (from Portugal, Sweden and USA) in the 2008–2012 period, for the research area of Chemistry. It is shown that it is possible not only to estimate the task-force, but also to derive new, relevant indicators for the set under analysis. Aspects pertaining to collaboration fluxes are also assessed.