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)).
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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.",
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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

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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.

KW - Analysis

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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