$\mathbf{h_\alpha}$: An index to quantify an individual's scientific leadership
J. E. Hirsch

TL;DR
The paper introduces the $h_eta$ index to measure an individual's scientific leadership by identifying their role as the dominant author in their most impactful papers, complementing the traditional $h$-index.
Contribution
It proposes new indices, $h_eta$ and $h'_eta$, to better quantify scientific leadership and address limitations of the $h$-index related to coauthorship patterns.
Findings
$h_eta$ and $h'_eta$ indices effectively distinguish scientific leadership.
High $h$-index combined with high $h_eta/h$ ratio indicates strong scientific leadership.
The proposed indices provide a useful supplement to the traditional $h$-index.
Abstract
The person is the dominant person in a group. We define the -author of a paper as the author of the paper with the highest -index among all the coauthors, and an -paper of a scientist as a paper authored or coauthored by the scientist where he/she is the -author. For most but not all papers in the literature there is only one -author. We define the index of a scientist as the number of papers in the -core of the scientist (i.e. the set of papers that contribute to the -index of the scientist) where this scientist is the -author. We also define the index of a scientist as the number of -papers of this scientist that have citations. and contain similar information, while is conceptually more appealing it is harder to obtain from existing databases,…
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.
