Author Impact Factor: tracking the dynamics of individual scientific impact
arXiv:1312.2650 · doi:10.1038/srep04880
Abstract
The impact factor (IF) of scientific journals has acquired a major role in the evaluations of the output of scholars, departments and whole institutions. Typically papers appearing in journals with large values of the IF receive a high weight in such evaluations. However, at the end of the day one is interested in assessing the impact of individuals, rather than papers. Here we introduce Author Impact Factor (AIF), which is the extension of the IF to authors. The AIF of an author A in year is the average number of citations given by papers published in year to papers published by A in a period of years before year . Due to its intrinsic dynamic character, AIF is capable to capture trends and variations of the impact of the scientific output of scholars in time, unlike the -index, which is a growing measure taking into account the whole career path.
Published version. 6 pages, 5 figures + Appendix
References in corpus (1)
Cited by in corpus (6)
- Restricting the h-index to a citation time window: A case study of a timed Hirsch index
- Prediction Methods and Applications in the Science of Science: A Survey
- Structured Citation Trend Prediction Using Graph Neural Networks
- The Evolutions of the Rich get Richer and the Fit get Richer Phenomena in Scholarly Networks: The Case of the Strategic Management Journal
- A variant of the h-index to measure recent performance
- Quantifying the consistency of scientific databases