Bibliometrics
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Excessive use, ill use and misuse of Bibliometrics
new Abstract: Impact factor, H-index, citation index, and such other indices have been playing an increasing role in scientific assessment of institutions, researchers, allocation of research funds,... across the globe. These indicies do not have any statistical basis but lots of decisions such as ranking of institutions, ranking of departments, assessment of faculty members for hiring and for promotions as well as selection for various awards are being made by using these indices. Several...
Frontier Lag: A Bibliometric Audit of Capability Misrepresentation in Academic AI Evaluation
arXiv:2605.04135v2 Announce Type: replace Abstract: Readers of applied-domain LLM capability evaluations want to know what AI systems can currently do. That literature answers a related, but consequentially different, question: what older, cheaper, less-elicited models could do months or years earlier (a 2026 paper evaluating GPT-3.5 or GPT-4 zero-shot, say, against a frontier of reasoning-capable, tool-using systems like GPT-5.5 Pro and Claude Opus 4.7), often reported with sparse...
Science with military applications is cited more than civilian-only research
Nature, Published online: 04 June 2026; doi:10.1038/d41586-026-01770-8Researchers analysed the scientific impact of dual-use research in US patent records and bibliometric databases.
The disruption index does not measure scientific innovation
new Abstract: A paper recently published in Science under the rubric of Policy Article argued that what the authors call scientific disruption declines with academic age, and that this decline is related to the absence of mandatory retirement for older academics. Since its publication, its conclusions and policy suggestions in relation to mandatory retirement have received considerable media attention. Thus, it is worth taking a closer look at the proposed measure of disruption since all the...
A Note on the Kullback-Leibler Divergence in Discretized Empirical Distributions
new Abstract: When empirical objects are represented as discrete probability distributions, within-distribution summaries such as Shannon entropy and Hill-type diversity indices describe how probability mass is spread inside each object, while Kullback-Leibler (KL) divergence provides pairwise asymmetric information. This note focuses on the KL difference $\Delta_{\mathrm{KL}}(p,q)=D_{\mathrm{KL}}(p|q)-D_{\mathrm{KL}}(q|p)$. Although $\Delta_{\mathrm{KL}}$ can add information beyond...