Predictive ranking of computer scientists using CiteSeer data
Abstract
The increasing availability of digital libraries with cross‐citation data on the Internet enables new studies in bibliometrics. The paper focuses on the list of 10,000 top‐cited authors in computer science available as part of CiteSeer. Using data from several consecutive lists a model of how authors accrue citations with time is constructed. By comparing the rate at which individual authors accrue citations with the average rate, predictions are made of how their ranking in the list will change in the future.
Keywords
Citation
Feitelson, D.G. and Yovel, U. (2004), "Predictive ranking of computer scientists using CiteSeer data", Journal of Documentation, Vol. 60 No. 1, pp. 44-61. https://doi.org/10.1108/00220410410516644
Publisher
:Emerald Group Publishing Limited
Copyright © 2004, Emerald Group Publishing Limited