Analysing Author Self-Citations in Computer Science Publications

Tobias Milz, Christin Seifert

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)
    97 Downloads (Pure)

    Abstract

    In scientific papers, citations refer to relevant previous work in order to underline the current line of argumentation, compare to other work and/or avoid repetition in writing. Self-citations, e.g. authors citing own previous work might have the same motivation but have also gained negative attention w.r.t. unjustified improvement of scientific performance indicators. Previous studies on self-citations do not provide a detailed analysis in the domain of computer science. In this work, we analyse the prevalence of self-citations in the DBLP, a digital library for computer science. We find, that approx. 10% of all citations are self-citations, while the rates vary with year after publication and the position of the author in the list as well as with the gender of the lead author. Further, we find that C-ranked venues have the highest incoming self-citation rate, while the outgoing rate is stable across all ranks.
    Original languageEnglish
    Title of host publicationDatabase and Expert Systems Applications
    Subtitle of host publicationDEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings
    EditorsMourad Elloumi, Michael Granitzer, Abdelkader Hameurlain, Christin Seifert, Benno Stein, A. Min Tjoa, Roland Wagner
    PublisherSpringer
    Pages289-300
    Number of pages12
    ISBN (Electronic)978-3-319-99133-7
    ISBN (Print)978-3-319-99132-0
    DOIs
    Publication statusPublished - 1 Jan 2018
    Event29th International Conference on Database and Expert Systems Applications, DEXA 2018 - Regensburg, Germany
    Duration: 3 Sep 20186 Sep 2018
    Conference number: 29
    http://www.dexa.org/dexa2018

    Publication series

    NameCommunications in Computer and Information Science
    Volume903
    ISSN (Print)1865-0929

    Conference

    Conference29th International Conference on Database and Expert Systems Applications, DEXA 2018
    Abbreviated titleDEXA
    CountryGermany
    CityRegensburg
    Period3/09/186/09/18
    Internet address

    Keywords

    • Analysis
    • CORE
    • Citations
    • DBLP
    • Self-citations

    Fingerprint Dive into the research topics of 'Analysing Author Self-Citations in Computer Science Publications'. Together they form a unique fingerprint.

    Cite this