Aggregating different paper quality measures with a generalized h-index     

Marek Gagolewski  Radko Mesiar 《Journal of Informetrics》2012,6(4):566-579

The process of assessing individual authors should rely upon a proper aggregation of reliable and valid papers’ quality metrics. Citations are merely one possible way to measure appreciation of publications. In this study we propose some new, SJR- and SNIP-based indicators, which not only take into account the broadly conceived popularity of a paper (manifested by the number of citations), but also other factors like its potential, or the quality of papers that cite a given publication. We explore the relation and correlation between different metrics and study how they affect the values of a real-valued generalized h-index calculated for 11 prominent scientometricians. We note that the h-index is a very unstable impact function, highly sensitive for applying input elements’ scaling. Our analysis is not only of theoretical significance: data scaling is often performed to normalize citations across disciplines. Uncontrolled application of this operation may lead to unfair and biased (toward some groups) decisions. This puts the validity of authors assessment and ranking using the h-index into question. Obviously, a good impact function to be used in practice should not be as much sensitive to changing input data as the analyzed one.  相似文献   

All that glitters is not gold—Mixed early labour market outcomes of STEM graduates in Poland     

Tomasz Z. Zając  Tomasz Żółtak  Marek Bożykowski  Mikołaj Jasiński 《European Journal of Education》2023,58(3):477-497

The expansion of higher education resulted in a growing interest in post-graduation labour market outcomes. Two conflicting narratives are present in the debate. The first focuses on the shortage of skills and the need for further expansion of the sector and seems to pertain mostly to science, technology, engineering, and mathematics (STEM). The second revolves around over-education and mismatch leading to graduate unemployment or underemployment. Such concerns pertain especially to humanities and social sciences. However, in this article, we argue that the STEM versus non-STEM opposition on which this debate is premised is not adequate for analysing post-graduation labour market outcomes. We leverage a unique administrative dataset comprising monthly records on the labour market status of the entire population of recent Polish university graduates (N = 161,323) to demonstrate the heterogeneity of the STEM category in terms of labour market outcomes and the limited predictive value of the field of study for those outcomes. We argue that the category is too broad and internally diverse to be used as an overarching category, especially in research meant to inform policymaking.  相似文献