Who cites what in Computer Science? - Analysing Citation Patterns across Conference Rank and Gender

Tobias Milz, Christin Seifert

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

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    Abstract

    Citations are a means to refer to previous, relevant scientific bodies of work.
    However, little is known about how citations behave with respect to venue reputation. Do A* papers get more often cited by C papers or vice versa? What is the source and sink of a citation in terms of venue reputation?
    In this work, we investigate this issue by analysing the DBLP database of computer science publications, utilizing rank information from the CORE database.
    Our analysis shows that authors tend to cite publications from the same or higher ranked venues more often than from lower tier venues. Self-citations, on the contrary, are especially focused on same-tier venues. The gender of the first author does not seem to have any impact on the citations from and to differently ranked mediums.
    Original languageEnglish
    Title of host publicationDigital Libraries for Open Knowledge - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings
    EditorsEva Mendez, Cristina Ribeiro, Gabriel David, João Correia Lopes, Fabio Crestani
    Pages321-325
    Number of pages5
    DOIs
    Publication statusPublished - 1 Jan 2018
    Event22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018 - University of Porto, Faculty of Engineering, Porto, Portugal
    Duration: 10 Sep 201813 Sep 2018
    Conference number: 22
    http://www.tpdl.eu/tpdl2018/

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11057 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018
    Abbreviated titleTPDL
    CountryPortugal
    CityPorto
    Period10/09/1813/09/18
    Internet address

    Fingerprint

    Citations
    Computer science
    Computer Science
    Gender
    Tend
    Reputation

    Keywords

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

    Cite this

    Milz, T., & Seifert, C. (2018). Who cites what in Computer Science? - Analysing Citation Patterns across Conference Rank and Gender. In E. Mendez, C. Ribeiro, G. David, J. C. Lopes, & F. Crestani (Eds.), Digital Libraries for Open Knowledge - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings (pp. 321-325). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11057 LNCS). https://doi.org/10.1007/978-3-030-00066-0_32
    Milz, Tobias ; Seifert, Christin. / Who cites what in Computer Science? - Analysing Citation Patterns across Conference Rank and Gender. Digital Libraries for Open Knowledge - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings. editor / Eva Mendez ; Cristina Ribeiro ; Gabriel David ; João Correia Lopes ; Fabio Crestani. 2018. pp. 321-325 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    @inproceedings{fbec63b5608b40218532515d7f97de2a,
    title = "Who cites what in Computer Science? - Analysing Citation Patterns across Conference Rank and Gender",
    abstract = "Citations are a means to refer to previous, relevant scientific bodies of work. However, little is known about how citations behave with respect to venue reputation. Do A* papers get more often cited by C papers or vice versa? What is the source and sink of a citation in terms of venue reputation?In this work, we investigate this issue by analysing the DBLP database of computer science publications, utilizing rank information from the CORE database. Our analysis shows that authors tend to cite publications from the same or higher ranked venues more often than from lower tier venues. Self-citations, on the contrary, are especially focused on same-tier venues. The gender of the first author does not seem to have any impact on the citations from and to differently ranked mediums.",
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    author = "Tobias Milz and Christin Seifert",
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    Milz, T & Seifert, C 2018, Who cites what in Computer Science? - Analysing Citation Patterns across Conference Rank and Gender. in E Mendez, C Ribeiro, G David, JC Lopes & F Crestani (eds), Digital Libraries for Open Knowledge - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11057 LNCS, pp. 321-325, 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, 10/09/18. https://doi.org/10.1007/978-3-030-00066-0_32

    Who cites what in Computer Science? - Analysing Citation Patterns across Conference Rank and Gender. / Milz, Tobias; Seifert, Christin.

    Digital Libraries for Open Knowledge - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings. ed. / Eva Mendez; Cristina Ribeiro; Gabriel David; João Correia Lopes; Fabio Crestani. 2018. p. 321-325 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11057 LNCS).

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

    TY - GEN

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    AU - Seifert, Christin

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    N2 - Citations are a means to refer to previous, relevant scientific bodies of work. However, little is known about how citations behave with respect to venue reputation. Do A* papers get more often cited by C papers or vice versa? What is the source and sink of a citation in terms of venue reputation?In this work, we investigate this issue by analysing the DBLP database of computer science publications, utilizing rank information from the CORE database. Our analysis shows that authors tend to cite publications from the same or higher ranked venues more often than from lower tier venues. Self-citations, on the contrary, are especially focused on same-tier venues. The gender of the first author does not seem to have any impact on the citations from and to differently ranked mediums.

    AB - Citations are a means to refer to previous, relevant scientific bodies of work. However, little is known about how citations behave with respect to venue reputation. Do A* papers get more often cited by C papers or vice versa? What is the source and sink of a citation in terms of venue reputation?In this work, we investigate this issue by analysing the DBLP database of computer science publications, utilizing rank information from the CORE database. Our analysis shows that authors tend to cite publications from the same or higher ranked venues more often than from lower tier venues. Self-citations, on the contrary, are especially focused on same-tier venues. The gender of the first author does not seem to have any impact on the citations from and to differently ranked mediums.

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    KW - Self-citations

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    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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    BT - Digital Libraries for Open Knowledge - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings

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    Milz T, Seifert C. Who cites what in Computer Science? - Analysing Citation Patterns across Conference Rank and Gender. In Mendez E, Ribeiro C, David G, Lopes JC, Crestani F, editors, Digital Libraries for Open Knowledge - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings. 2018. p. 321-325. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-00066-0_32