Quantifying Lifetime Productivity Changes: A Longitudinal Study of 320,000 Late-Career Scientists
Marek Kwiek, Lukasz Szymula

TL;DR
This study analyzes the career-long research productivity of over 320,000 late-career scientists across multiple disciplines and countries, revealing high career stability and minimal radical mobility in productivity levels.
Contribution
It introduces a large-scale longitudinal bibliometric dataset and provides new insights into career persistence and mobility patterns among late-career scientists.
Findings
Half of top performers remain top performers over time.
One-third of bottom performers stay in the bottom decile.
Radical shifts in productivity classes are extremely rare.
Abstract
The present study focuses on persistence in research productivity over the course of an individual's entire scientific career. We track 'late-career' scientists - scientists with at least 25 years of publishing experience (N=320,564) - in 16 STEMM (science, technology, engineering, mathematics, and medicine) and social science disciplines from 38 OECD countries for up to five decades. Our OECD sample includes 79.42% of late-career scientists globally. We examine the details of their mobility patterns as early-career, mid-career, and late-career scientists between decile-based productivity classes, from the bottom 10% to top 10% of the productivity distribution. Methodologically, we turn a large-scale bibliometric dataset (Scopus raw data) into a comprehensive, longitudinal data source for research on careers in science. The global science system is highly immobile: half of global top…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
