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Predictive ranking of computer scientists using CiteSeer data
Dror G. Feitelson, Uri Yovel
2004
44 - 61
0022-0418
10.1108/00220410410516644
Emerald Group Publishing Limited
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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.
Research paper