IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v54y2002i2d10.1023_a1016070029935.html
   My bibliography  Save this article

The other side of the coin: The intricacies of author self-citations

Author

Listed:
  • P. Pichappan

    (Annamalai University Annamalainagar)

  • S. Sarasvady

    (Annamalai University Annamalainagar)

Abstract

The present study views author self-citations, as a blend of experience and cognition of authors. This paper supports to lay down emphasis on consciousness and cognition of authors while assessing author self-citations.

Suggested Citation

  • P. Pichappan & S. Sarasvady, 2002. "The other side of the coin: The intricacies of author self-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 285-290, June.
  • Handle: RePEc:spr:scient:v:54:y:2002:i:2:d:10.1023_a:1016070029935
    DOI: 10.1023/A:1016070029935
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1016070029935
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1023/A:1016070029935?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. P. Wouters, 1999. "Beyond the holy grail: From citation theory to indicator theories," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 561-580, March.
    2. Donald O. Case & Georgeann M. Higgins, 2000. "How can we investigate citation behavior? A study of reasons for citing literature in communication," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(7), pages 635-645.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Iina Hellsten & Renaud Lambiotte & Andrea Scharnhorst & Marcel Ausloos, 2007. "Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 469-486, September.
    2. Vîiu, Gabriel-Alexandru, 2016. "A theoretical evaluation of Hirsch-type bibliometric indicators confronted with extreme self-citation," Journal of Informetrics, Elsevier, vol. 10(2), pages 552-566.
    3. Mathieu Leblond, 2012. "Author self-citations in the field of ecology," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 943-953, June.
    4. Paulo Henrique Santos Gonçalves & Thiago Gonçalves-Souza & Ulysses Paulino Albuquerque, 2020. "Chronic anthropogenic disturbances in ecology: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1103-1117, May.
    5. James Hartley, 2012. "To cite or not to cite: author self-citations and the impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 313-317, August.
    6. 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.
    7. Simoes, Nadia & Crespo, Nuno, 2020. "Self-Citations and scientific evaluation: Leadership, influence, and performance," Journal of Informetrics, Elsevier, vol. 14(1).
    8. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2010. "Self-citations at the meso and individual levels: effects of different calculation methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 517-537, March.
    9. Guan Jiancheng & Wang Junxia, 2004. "Evaluation and interpretation of knowledge production efficiency," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 131-155, January.
    10. Alberto Baccini & Giuseppe De Nicolao & Eugenio Petrovich, 2019. "Citation gaming induced by bibliometric evaluation: A country-level comparative analysis," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-16, September.
    11. Hajime Eto, 2003. "Interdisciplinary information input and output of a nano-technology project," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 5-33, September.
    12. Huang, Chen-Hao & Liu, John S. & Ho, Mei Hsiu-Ching & Chou, Tzu-Chuan, 2022. "Towards more convergent main paths: A relevance-based approach," Journal of Informetrics, Elsevier, vol. 16(3).
    13. 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).
    14. Wen-Yau Cathy Lin & Mu-Hsuan Huang, 2012. "The relationship between co-authorship, currency of references and author self-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 343-360, February.
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo & Emanuela Reale, 2019. "Peer review versus bibliometrics: Which method better predicts the scholarly impact of publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 537-554, October.
    16. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Faiza Qayyum & Harun Jamil & Naeem Iqbal & DoHyeun Kim & Muhammad Tanvir Afzal, 2022. "Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6471-6499, November.
    2. 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.
    3. Waldinger, Fabian & Hager, Sebastian & Schwarz, Carlo, 2023. "Measuring Science: Performance Metrics and the Allocation of Talent," CEPR Discussion Papers 18248, C.E.P.R. Discussion Papers.
    4. Teresa H. Jones & Claire Donovan & Steve Hanney, 2012. "Tracing the wider impacts of biomedical research: a literature search to develop a novel citation categorisation technique," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 125-134, October.
    5. Heather A Piwowar & Roger S Day & Douglas B Fridsma, 2007. "Sharing Detailed Research Data Is Associated with Increased Citation Rate," PLOS ONE, Public Library of Science, vol. 2(3), pages 1-5, March.
    6. Meyer, Matthias & Waldkirch, Rüdiger W. & Duscher, Irina & Just, Alexander, 2018. "Drivers of citations: An analysis of publications in “top” accounting journals," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 51(C), pages 24-46.
    7. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    8. Lutz Bornmann & K. Brad Wray & Robin Haunschild, 2020. "Citation concept analysis (CCA): a new form of citation analysis revealing the usefulness of concepts for other researchers illustrated by exemplary case studies including classic books by Thomas S. K," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1051-1074, February.
    9. Xu, Fang & Ou, Guiyan & Ma, Tingcan & Wang, Xianwen, 2021. "The consistency of impact of preprints and their journal publications," Journal of Informetrics, Elsevier, vol. 15(2).
    10. Mingyang Wang & Guang Yu & Shuang An & Daren Yu, 2012. "Discovery of factors influencing citation impact based on a soft fuzzy rough set model," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 635-644, December.
    11. Feng Shi & James Evans, 2023. "Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    12. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
    13. Dechezlepretre, Antoine & Martin, Ralf & Mohnen, Myra, 2014. "Knowledge spillovers from clean and dirty technologies," LSE Research Online Documents on Economics 60501, London School of Economics and Political Science, LSE Library.
    14. Dorte Henriksen, 2016. "The rise in co-authorship in the social sciences (1980–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 455-476, May.
    15. Liu, Jialin & Chen, Hongkan & Liu, Zhibo & Bu, Yi & Gu, Weiye, 2022. "Non-linearity between referencing behavior and citation impact: A large-scale, discipline-level analysis," Journal of Informetrics, Elsevier, vol. 16(3).
    16. Hamid R. Jamali & Majid Nabavi & Saeid Asadi, 2018. "How video articles are cited, the case of JoVE: Journal of Visualized Experiments," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1821-1839, December.
    17. Wang, Mingyang & Yu, Guang & Xu, Jianzhong & He, Huixin & Yu, Daren & An, Shuang, 2012. "Development a case-based classifier for predicting highly cited papers," Journal of Informetrics, Elsevier, vol. 6(4), pages 586-599.
    18. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
    19. Thelwall, Mike & Wilson, Paul, 2014. "Distributions for cited articles from individual subjects and years," Journal of Informetrics, Elsevier, vol. 8(4), pages 824-839.
    20. CholMyong Pak & Guang Yu & Weibin Wang, 2018. "A study on the citation situation within the citing paper: citation distribution of references according to mention frequency," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 905-918, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:54:y:2002:i:2:d:10.1023_a:1016070029935. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.