Abstract

This article describes the results of our analysis of the data from the Cite Seer digital library. First, we examined the data from the point of view of source top-level Internet domains from which the data were collected. Second, we measured country shares in publications indexed by Cite Seer and compared them to those based on mainstream bibliographic data from the Web of Science and Scopus. And third, we concentrated on analyzing publications and their citations aggregated by countries. This way, we generated rankings of the most influential countries in computer science using several non-recursive as well as recursive methods such as citation counts or Page Rank. We conclude that even if East Asian countries are underrepresented in Cite Seer, its data may well be used along with other conventional bibliographic databases for comparing the computer science research productivity and performance of countries. (C) 2011 Elsevier Ltd. All rights reserved.