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A Bibliometric Approach for Detecting the Gender Gap in Computer Science

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung

Autorschaft

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

Organisationseinheiten

Externe Organisationen

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

Details

OriginalspracheEnglisch
Seiten (von - bis)74-80
Seitenumfang7
FachzeitschriftCommunications of the ACM
Jahrgang63
Ausgabenummer5
PublikationsstatusVeröffentlicht - Apr. 2020

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A Bibliometric Approach for Detecting the Gender Gap in Computer Science. / Mattauch, Sandra; Lohmann, Katja; Hannig, Frank et al.
in: Communications of the ACM, Jahrgang 63, Nr. 5, 04.2020, S. 74-80.

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung

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, Jg. 63, Nr. 5, S. 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 ; Jahrgang 63, Nr. 5. S. 74-80.
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