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Mining citation information from CiteSeer data

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  • Dalibor Fiala

    (University of West Bohemia)

Abstract

The CiteSeer digital library is a useful source of bibliographic information. It allows for retrieving citations, co-authorships, addresses, and affiliations of authors and publications. In spite of this, it has been relatively rarely used for automated citation analyses. This article describes our findings after extensively mining from the CiteSeer data. We explored citations between authors and determined rankings of influential scientists using various evaluation methods including citation and in-degree counts, HITS, PageRank, and its variations based on both the citation and collaboration graphs. We compare the resulting rankings with lists of computer science award winners and find out that award recipients are almost always ranked high. We conclude that CiteSeer is a valuable, yet not fully appreciated, repository of citation data and is appropriate for testing novel bibliometric methods.

Suggested Citation

  • Dalibor Fiala, 2011. "Mining citation information from CiteSeer data," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 553-562, March.
    • Handle: RePEc:spr:scient:v:86:y:2011:i:3:d:10.1007_s11192-010-0326-1
    DOI: 10.1007/s11192-010-0326-1
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    References listed on IDEAS

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    1. Dangzhi Zhao & Andreas Strotmann, 2007. "Can citation analysis of Web publications better detect research fronts?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1285-1302, July.
    2. Massimo Franceschet, 2010. "A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 243-258, April.
    3. Dangzhi Zhao & Elisabeth Logan, 2002. "Citation analysis using scientific publications on the Web as data source: A case study in the XML research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 449-472, July.
    4. Lokman I. Meho & Kiduk Yang, 2007. "Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2105-2125, November.
    5. Dalibor Fiala & François Rousselot & Karel Ježek, 2008. "PageRank for bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 135-158, July.
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    Cited by:

    1. Nykl, Michal & Ježek, Karel & Fiala, Dalibor & Dostal, Martin, 2014. "PageRank variants in the evaluation of citation networks," Journal of Informetrics, Elsevier, vol. 8(3), pages 683-692.
    2. Fiala, Dalibor & Šubelj, Lovro & Žitnik, Slavko & Bajec, Marko, 2015. "Do PageRank-based author rankings outperform simple citation counts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 334-348.
    3. Guillaume Cabanac, 2012. "Shaping the landscape of research in information systems from the perspective of editorial boards: A scientometric study of 77 leading journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(5), pages 977-996, May.
    4. Guillaume Cabanac, 2012. "Shaping the landscape of research in information systems from the perspective of editorial boards: A scientometric study of 77 leading journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(5), pages 977-996, May.
    5. Fiala, Dalibor, 2012. "Time-aware PageRank for bibliographic networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 370-388.

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