Predictive ranking of computer scientists using CiteSeer data

Dror G. Feitelson; Uri Yovel

doi:10.1108/00220410410516644

Predictive ranking of computer scientists using CiteSeer data

Dror G. Feitelson^*, Uri Yovel

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Review article › peer-review

22 Scopus citations

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.

Original language	English
Pages (from-to)	44-61
Number of pages	18
Journal	Journal of Documentation
Volume	60
Issue number	1
DOIs	https://doi.org/10.1108/00220410410516644
State	Published - 2004

Keywords

Digital libraries
Prediction

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10.1108/00220410410516644

Cite this

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Predictive ranking of computer scientists using CiteSeer data

Abstract

Keywords

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