$h_{PI}$: The Citation Index for Principal Investigators
Christoph Steinbr\"uchel (Rensselaer Polytechnic Institute)

TL;DR
This paper introduces a new citation index, $h_{PI}$, for principal investigators that adjusts for co-authorship, providing a different ranking metric than the traditional $h$-index, and explores its properties and implications.
Contribution
The paper defines and analyzes the $h_{PI}$ index, a novel metric for PIs based on renormalized citations, and derives relationships between $h_{PI}$, $h$, and total citations.
Findings
$h_{PI}$ differs significantly from $h$-index rankings.
$h_{PI}$ approximately equals $h / \, ext{sqrt}(<N_{PI}>)$.
$h_{PI}$ relates to total citations as $h_{PI} = rac{1}{2} ext{sqrt}(C_{tot} / <N_{PI}>)$.
Abstract
A new citation index for principal investigators (PIs) is defined in analogy to Hirsch's index , but based on renormalized citations of a PI's papers. To this end, the authors of a paper are divided into two groups: PIs and non-PIs. A PI is defined as an assistant, associate or full professor at a university who supervises an individual research program. The citations for each paper of a certain PI are then divided by the number of PIs among the authors of that paper. Data are presented for a sample of 48 PIs who are senior faculty members of physics and physics-related engineering departments at a private research-oriented U.S. university, using the ISI Web of Science citations database. The main result is that individual rankings based on and differ substantially. Also, to a good approximation across the sample of 48 PIs, one finds that $h_{PI} = h \,/…
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.
Taxonomy
Topicsscientometrics and bibliometrics research · Academic Writing and Publishing
