The u-index: a simple metric to objectively measure academic impact of individual researchers
Roberto Dillon

TL;DR
The paper proposes the u-index, a new simple metric for objectively measuring individual researchers' academic impact, addressing limitations of existing metrics like the h-index and i10-index.
Contribution
It introduces the u-index, a novel impact metric that accounts for self-citations and co-authorship effects, offering more accurate individual researcher evaluation.
Findings
u-index reduces inflated impact scores from self-citations.
u-index differentiates researchers with similar h-indices.
Provides a more nuanced assessment of individual academic impact.
Abstract
This short paper introduces the u-index, a simple and objective metric to evaluate the impact and relevance of academic research output, as a possible alternative to widespread metrics such as the h-index or the i10-index. The proposed index is designed to address possible issues with standard metrics such as inflated ratings resulting from self-citations or by means of extended co-authorship numbers where every citation has the same impact as for works written by smaller groups, despite limited individual contributions. The new index makes also possible to differentiate scholars who would otherwise fall into the same h-index group, hence providing further insights into the actual impact of a specific individual researcher.
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Taxonomy
TopicsExpert finding and Q&A systems · Semantic Web and Ontologies · Data Mining Algorithms and Applications
