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Citation analysis using scientific publications on the Web as data source: A case study in the XML research area

Author

Listed:
  • Dangzhi Zhao

    (Florida State University)

  • Elisabeth Logan

    (Florida State University)

Abstract

With the primary goal of exploring whether citation analysis using scientific papers found on the Web as a data source is a worthwhile means of studying scholarly communication in the new digital environment, the present case study examines the scholarly communication patterns in XML research revealed by citation analysis of ResearchIndex data and SCI data. Results suggest that citation analysis using scientific papers found on the Web as a data source has both advantages and disadvantages when compared with citation analysis of SCI data, but is nonetheless a valid method for evaluating scholarly contributions and for studying the intellectual structure in XML research.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:54:y:2002:i:3:d:10.1023_a:1016090601710
    DOI: 10.1023/A:1016090601710
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    References listed on IDEAS

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    1. Blaise Cronin & Herbert W. Snyder & Howard Rosenbaum & Anna Martinson & Ewa Callahan, 1998. "Invoked on the Web," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(14), pages 1319-1328.
    2. Michael H. MacRoberts & Barbara R. MacRoberts, 1989. "Problems of citation analysis: A critical review," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(5), pages 342-349, September.
    3. Katherine W. McCain, 1988. "Evaluating cocited author search performance in a collaborative specialty," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 39(6), pages 428-431, November.
    4. Lokman I. Meho & Diane H. Sonnenwald, 2000. "Citation ranking versus peer evaluation of senior faculty research performance: A case study of Kurdish scholarship," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(2), pages 123-138.
    5. Jian Qin & F. W. Lancaster & Bryce Allen, 1997. "Types and levels of collaboration in interdisciplinary research in the sciences," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(10), pages 893-916, October.
    6. Katherine W. McCain, 2000. "Sharing digitized research‐related information on the World Wide Web," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(14), pages 1321-1327.
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    Cited by:

    1. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    2. Siluo Yang & Feng Ma & Yanhui Song & Junping Qiu, 2010. "A longitudinal analysis of citation distribution breadth for Chinese scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 755-765, December.
    3. Dalibor Fiala, 2011. "Mining citation information from CiteSeer data," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 553-562, March.
    4. 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.
    5. Li Tang & John P. Walsh, 2010. "Bibliometric fingerprints: name disambiguation based on approximate structure equivalence of cognitive maps," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 763-784, September.
    6. Kayvan Kousha & Mike Thelwall, 2008. "Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 273-294, February.
    7. Yi Bu & Tian-yi Liu & Win-bin Huang, 2016. "MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 143-166, July.
    8. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

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