A Bibliometric Approach for Detecting the Gender Gap in Computer Science

Research output: Contribution to journal › Article › Research

Authors

  • Sandra Mattauch
  • Katja Lohmann
  • Frank Hannig
  • Daniel Lohmann
  • Jürgen Teich

Research Organisations

External Research Organisations

  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)
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Details

Original languageEnglish
Pages (from-to)74-80
Number of pages7
JournalCommunications of the ACM
Volume63
Issue number5
Publication statusPublished - Apr 2020

Keywords

    Gender gap, Computer science, Frauenanteil, MINT, Informatik

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

A Bibliometric Approach for Detecting the Gender Gap in Computer Science. / Mattauch, Sandra; Lohmann, Katja; Hannig, Frank et al.
In: Communications of the ACM, Vol. 63, No. 5, 04.2020, p. 74-80.

Research output: Contribution to journal › Article › Research

Mattauch, S, Lohmann, K, Hannig, F, Lohmann, D & Teich, J 2020, 'A Bibliometric Approach for Detecting the Gender Gap in Computer Science', Communications of the ACM, vol. 63, no. 5, pp. 74-80. https://doi.org/10.1145/3376901
Mattauch, S., Lohmann, K., Hannig, F., Lohmann, D., & Teich, J. (2020). A Bibliometric Approach for Detecting the Gender Gap in Computer Science. Communications of the ACM, 63(5), 74-80. https://doi.org/10.1145/3376901
Mattauch S, Lohmann K, Hannig F, Lohmann D, Teich J. A Bibliometric Approach for Detecting the Gender Gap in Computer Science. Communications of the ACM. 2020 Apr;63(5):74-80. doi: 10.1145/3376901
Mattauch, Sandra ; Lohmann, Katja ; Hannig, Frank et al. / A Bibliometric Approach for Detecting the Gender Gap in Computer Science. In: Communications of the ACM. 2020 ; Vol. 63, No. 5. pp. 74-80.
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