Inequality and cumulative advantage in science careers: a case study of high-impact journals
Alexander M. Petersen, Orion Penner

TL;DR
This study examines inequality in scientific careers by analyzing publication and citation data from high-impact journals, revealing broad productivity and impact disparities driven by cumulative advantage and publication patterns.
Contribution
It provides empirical evidence of inequality and identifies mechanisms like decreasing intervals between publications and impact decline over time as key factors.
Findings
Gini coefficients indicate high inequality in productivity and impact.
Time between publications decreases with each subsequent publication.
Citation impact tends to decline for later publications in a researcher's career.
Abstract
Analyzing a large data set of publications drawn from the most competitive journals in the natural and social sciences we show that research careers exhibit the broad distributions of individual achievement characteristic of systems in which cumulative advantage plays a key role. While most researchers are personally aware of the competition implicit in the publication process, little is known about the levels of inequality at the level of individual researchers. We analyzed both productivity and impact measures for a large set of researchers publishing in high-impact journals. For each researcher cohort we calculated Gini inequality coefficients, with average Gini values around 0.48 for total publications and 0.73 for total citations. For perspective, these observed values are well in excess of the inequality levels observed for personal income in developing countries. Investigating…
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Taxonomy
Topicsscientometrics and bibliometrics research
