Marek Kwiek and Wojciech Roszka published a new preprint on arXiv on:
“The Young and the Old, the Fast and the Slow: Age, Productivity, and Rank Advancement of 16,000 STEMM University Professors”.
https://arxiv.org/abs/2211.06319
Abstract:
We examined a large population of Polish science, technology, engineering, mathematics and medicine (STEMM) scientists (N = 16,083) to study rank advancement and productivity. We used two previously neglected time dimensions – promotion age and promotion speed – to construct individual biographical profiles and publication profiles. We used a classificatory approach and the new methodological approach of journal prestige-normalized productivity. All scientists were allocated to different productivity, promotion age, and promotion speed classes (top 20%, middle 60%, and bottom 20%). The patterns were consistent across all disciplines: scientists in young promotion age classes (and fast promotion speed classes) in the past were currently the most productive. In contrast, scientists in old promotion age classes (and slow promotion speed classes) in the past were currently the least productive. In the three largest disciplines, the young-old promotion age productivity differential for associate professors was 100-200% (150-200% for full professors); and the fast-slow promotion speed productivity differential for associate professors was 80-150% (100-170% for full professors). Our results were confirmed by a regression analysis in which we found odds ratio estimates of membership in top productivity classes. We combined data collected from the national register of all Polish scientists and scholars (N = 99,935) and publication metadata on all Polish articles indexed in Scopus (N = 935,167).
Marek Kwiek and Wojciech Roszka published a new preprint on arXiv on:
“The Young and the Old, the Fast and the Slow: Age, Productivity, and Rank Advancement of 16,000 STEMM University Professors”.
PDF is here.
https://arxiv.org/abs/2211.06319
Abstract:
We examined a large population of Polish science, technology, engineering, mathematics and medicine (STEMM) scientists (N = 16,083) to study rank advancement and productivity. We used two previously neglected time dimensions – promotion age and promotion speed – to construct individual biographical profiles and publication profiles. We used a classificatory approach and the new methodological approach of journal prestige-normalized productivity. All scientists were allocated to different productivity, promotion age, and promotion speed classes (top 20%, middle 60%, and bottom 20%). The patterns were consistent across all disciplines: scientists in young promotion age classes (and fast promotion speed classes) in the past were currently the most productive. In contrast, scientists in old promotion age classes (and slow promotion speed classes) in the past were currently the least productive. In the three largest disciplines, the young-old promotion age productivity differential for associate professors was 100-200% (150-200% for full professors); and the fast-slow promotion speed productivity differential for associate professors was 80-150% (100-170% for full professors). Our results were confirmed by a regression analysis in which we found odds ratio estimates of membership in top productivity classes. We combined data collected from the national register of all Polish scientists and scholars (N = 99,935) and publication metadata on all Polish articles indexed in Scopus (N = 935,167).
Marek Kwiek and Wojciech Roszka published a new preprint on arXiv on:
“The Young and the Old, the Fast and the Slow: Age, Productivity, and Rank Advancement of 16,000 STEMM University Professors”.
PDF is here.
https://arxiv.org/abs/2211.06319
Abstract:
We examined a large population of Polish science, technology, engineering, mathematics and medicine (STEMM) scientists (N = 16,083) to study rank advancement and productivity. We used two previously neglected time dimensions – promotion age and promotion speed – to construct individual biographical profiles and publication profiles. We used a classificatory approach and the new methodological approach of journal prestige-normalized productivity. All scientists were allocated to different productivity, promotion age, and promotion speed classes (top 20%, middle 60%, and bottom 20%). The patterns were consistent across all disciplines: scientists in young promotion age classes (and fast promotion speed classes) in the past were currently the most productive. In contrast, scientists in old promotion age classes (and slow promotion speed classes) in the past were currently the least productive. In the three largest disciplines, the young-old promotion age productivity differential for associate professors was 100-200% (150-200% for full professors); and the fast-slow promotion speed productivity differential for associate professors was 80-150% (100-170% for full professors). Our results were confirmed by a regression analysis in which we found odds ratio estimates of membership in top productivity classes. We combined data collected from the national register of all Polish scientists and scholars (N = 99,935) and publication metadata on all Polish articles indexed in Scopus (N = 935,167).