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On the Heterogeneity and Classification of Author Self‐Citations

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  • Stephen M. Lawani

Abstract

The heterogeneity of author self‐citations is highlighted and a systematic scheme for their classification is presented. Self‐citations are either synchronous or diachronous and each of these classes or genera has four subclasses or species. The distribution of self‐citations among the four species is governed by a number of factors including collaborative tendencies in the discipline or research specialty and the relative statuses of the collaborating authors. The classification of self‐citations may be applied to study aspects of research collaboration and the matter of egotism in scholarly work.

Suggested Citation

  • Stephen M. Lawani, 1982. "On the Heterogeneity and Classification of Author Self‐Citations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 33(5), pages 281-284, September.
    • Handle: RePEc:bla:jamest:v:33:y:1982:i:5:p:281-284
    DOI: 10.1002/asi.4630330506
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    Cited by:

    1. Mansour Haghighat & Javad Hayatdavoudi, 2021. "How hot are hot papers? The issue of prolificacy and self-citation stacking," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 565-578, January.
    2. Taşkın, Zehra & Doğan, Güleda & Kulczycki, Emanuel & Zuccala, Alesia Ann, 2021. "Self-Citation Patterns of Journals Indexed in the Journal Citation Reports," Journal of Informetrics, Elsevier, vol. 15(4).
    3. Martin Szomszor & David A. Pendlebury & Jonathan Adams, 2020. "How much is too much? The difference between research influence and self-citation excess," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1119-1147, May.
    4. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Grilli, Leonardo, 2021. "The effects of citation-based research evaluation schemes on self-citation behavior," Journal of Informetrics, Elsevier, vol. 15(4).
    5. Federico Scarpa & Vincenzo Bianco & Luca A. Tagliafico, 2018. "The impact of the national assessment exercises on self-citation rate and publication venue: an empirical investigation on the engineering academic sector in Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 997-1022, November.

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