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All author citations versus first author citations

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  • Olle Persson

    (Umeå University)

Abstract

Based on a set of information science papers this study demonstrates that "all author" citationcounts should be preferred when visualizing the structure of research fields. "First author" citationstudies distort the picture in terms of most influential researchers, while the subfield structuretends to be just about the same for both methods.

Suggested Citation

  • Olle Persson, 2001. "All author citations versus first author citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 339-344, February.
    • Handle: RePEc:spr:scient:v:50:y:2001:i:2:d:10.1023_a:1010534009428
    DOI: 10.1023/A:1010534009428
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    References listed on IDEAS

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    1. Leo Egghe & Ronald Rousseau & Guido Van Hooydonk, 2000. "Methods for accrediting publications to authors or countries: Consequences for evaluation studies," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(2), pages 145-157.
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    Cited by:

    1. Persson, Olle, 2010. "Identifying research themes with weighted direct citation links," Journal of Informetrics, Elsevier, vol. 4(3), pages 415-422.
    2. Zhao, Dangzhi & Strotmann, Andreas, 2008. "Comparing all-author and first-author co-citation analyses of information science," Journal of Informetrics, Elsevier, vol. 2(3), pages 229-239.
    3. Antje Klitkou & Stian Nygaard & Martin Meyer, 2007. "Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 491-518, February.
    4. Strotmann, Andreas & Zhao, Dangzhi, 2010. "Combining commercial citation indexes and open-access bibliographic databases to delimit highly interdisciplinary research fields for citation analysis," Journal of Informetrics, Elsevier, vol. 4(2), pages 194-200.
    5. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    6. Xie, Qing & Zhang, Xinyuan & Kim, Giyeong & Song, Min, 2022. "Exploring the influence of coauthorship with top scientists on researchers’ affiliation, research topic, productivity, and impact," Journal of Informetrics, Elsevier, vol. 16(3).
    7. Jesper W. Schneider & Birger Larsen & Peter Ingwersen, 2009. "A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 103-130, July.
    8. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
    9. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    10. Meen Chul Kim & Yoo Kyung Jeong & Min Song, 2014. "Investigating the integrated landscape of the intellectual topology of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 309-335, October.
    11. Jia Zheng & Zhiyun Zhao & Xu Zhang & Mu-hsuan Huang & Dar-zen Chen, 2014. "Influences of counting methods on country rankings: a perspective from patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2087-2102, March.
    12. Marc Eulerich & Christian Lohmann & Stefanie Haustein & Dirk Tunger, 2014. "Die Entwicklung der betriebswirtschaftlichen Corporate Governance-Forschung im deutschsprachigen Raum — Eine State of the Art-Analyse auf der Basis bibliometrischer Daten," Schmalenbach Journal of Business Research, Springer, vol. 66(7), pages 567-600, November.
    13. Bo Jarneving, 2008. "A variation of the calculation of the first author cocitation strength in author cocitation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(3), pages 485-504, December.
    14. Yi Bu & Binglu Wang & Win-bin Huang & Shangkun Che & Yong Huang, 2018. "Using the appearance of citations in full text on author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 275-289, July.
    15. Xie, Qing & Zhang, Xinyuan & Song, Min, 2021. "A network embedding-based scholar assessment indicator considering four facets: Research topic, author credit allocation, field-normalized journal impact, and published time," Journal of Informetrics, Elsevier, vol. 15(4).
    16. Jeong, Yoo Kyung & Song, Min & Ding, Ying, 2014. "Content-based author co-citation analysis," Journal of Informetrics, Elsevier, vol. 8(1), pages 197-211.
    17. 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.
    18. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    19. Bu, Yi & Ni, Shaokang & Huang, Win-bin, 2017. "Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappings," Journal of Informetrics, Elsevier, vol. 11(3), pages 810-822.
    20. Wang, Feifei & Jia, Chenran & Wang, Xiaohan & Liu, Junwan & Xu, Shuo & Liu, Yang & Yang, Chenyuyan, 2019. "Exploring all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 13(3), pages 856-873.
    21. Eom, Sean, 2008. "All author cocitation analysis and first author cocitation analysis: A comparative empirical investigation," Journal of Informetrics, Elsevier, vol. 2(1), pages 53-64.

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