Top Research Performance Over Three Decades: A Multidimensional Micro-Data Approach
Marek Kwiek, Wojciech Roszka

TL;DR
This study analyzes three decades of Polish scientists' research output, revealing stable productivity patterns, gender disparities, and key predictors of top performance using longitudinal micro-data and econometric models.
Contribution
It uniquely incorporates the time component and longitudinal tracking of top scientists, revealing consistent productivity rules and gender disparities over three decades.
Findings
Top 1% of scientists produce 10% of output.
Gender overrepresentation among top performers.
Increasing competition over time.
Abstract
In this research, the contributions of a highly productive minority of scientists to the national Polish research output over the past three decades (1992-2021) is explored. In almost all previous research, the approaches to high research productivity are missing the time component. Cross-sectional studies were not complemented by longitudinal studies: Scientists comprising the classes of top performers have not been tracked over time. Three classes of top performers (the upper 1%, 5%, and 10%) are examined, and a surprising temporal stability of productivity patterns is found. The 1/10 and 10/50 rules consistently apply across the three decades: The upper 1% of scientists, on average, account for 10% of the national output, and the upper 10% account for almost 50% of total output, with significant disciplinary variations. The Relative Presence Index (RPI) we constructed shows that men…
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Taxonomy
TopicsEducational and Technological Research · Big Data and Business Intelligence
