Journal article
Distribution of the h-Index in Radiation Oncology Conforms to a Variation of Power Law: Implications for Assessing Academic Productivity
Journal of cancer education, v 27(3), pp 463-466
2012
PMID: 22544537
Abstract
Leaders of academic institutions evaluate academic productivity when deciding to hire, promote, or award resources. This study examined the distribution of the h-index, an assessment of academic standing, among radiation oncologists. The authors collected h-indices for 826 US academic radiation oncologists from a commercial bibliographic database (SCOPUS, Elsevier B.V., NL). Then, logarithmic transformation was performed on h-indices and ranked h-indices, and results were compared to estimates of a power law distribution. The h-index frequency distribution conformed to both the log-linear variation of a power law (
r
2
= .99) and the beta distribution with the same fitting exponents as previously described in a power law analysis of the productivity of neurosurgeons. Within radiation oncology, as in neurosurgery, there are exceedingly more faculty with an h-index of 1–2. The distribution fitting the same variation of a power law within two fields suggests applicability to other areas of academia.
Metrics
Details
- Title
- Distribution of the h-Index in Radiation Oncology Conforms to a Variation of Power Law: Implications for Assessing Academic Productivity
- Creators
- Matthew R. Quigley - Drexel UniversityEmma B. Holliday - The University of Texas Health Science CenterClifton D. Fuller - Oregon Health & Science UniversityMehee Choi - Oregon Health & Science UniversityCharles R. Thomas - Oregon Health & Science University
- Publication Details
- Journal of cancer education, v 27(3), pp 463-466
- Publisher
- Springer-Verlag
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Surgery
- Web of Science ID
- WOS:000308650300012
- Scopus ID
- 2-s2.0-84866730941
- Other Identifier
- 991019168486304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Education, Scientific Disciplines
- Oncology
- Public, Environmental & Occupational Health