High research productivity in vertically undifferentiated higher education systems: Who are the top performers?
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Kwiek_Scientometrics_Top_Performers_2018.pdf
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Abstract
The growing scholarly interest in research top performers comes from the growing policy interest in research top performance itself. A question emerges: what makes someone a top performer? In this paper, the upper 10% of Polish academics in terms of research productivity are studied, and predictors of entering this class are sought. In the science system (and Poland follows global patterns), a small number of scholars producemost of theworks and attract huge numbers of citations. Performance determines rewards, and small differences in talent translate into a disproportionate level of success, leading to inequalities inresources, research outcomes, and rewards.Top performers are studied here through a bivariate analysis of their working time distribution and their academic role orientation, as well as through a model approach. Odds ratio estimates with logistic regression of being highly productive Polish academics are presented. Consistently across major clusters of academic disciplines, the tinyminority of 10%of academics produces about half (44.7%) of all Polish publications (48.0% of publications in English and 57.2% of internationally coauthored publications). Themean research productivity of top performers acrossmajor clusters is on average 7.3 times higher than that of the other academics, and in terms of internationally co-authored publications, 12.07 times higher. High inequality was observed: the average research productivity distribution is highly skewedwith a long tail on the right not only for all Polish academics but also for top performers. The class of top performers is as internally stratified as that of their lower-performing colleagues. Separate regressionmodels for all academics, science, technology, engineering and mathematics academics, and social sciences and humanities academics are built based on a large national sample (2525 usable observations), and implications are discussed.
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Scientometrics. 115(1): 415-462
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info:eu-repo/semantics/openAccess