A Bibliometric Approach for Detecting the Gender Gap in Computer Science

Mattauch S, Lohmann K, Hannig F, Lohmann D, Teich J (2020)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2020

Journal

Communications of the ACM ACM Association for Computing Machinery

Book Volume: 63

Pages Range: 39-45

Journal Issue: 5

DOI: 10.1145/3376901

Authors with CRIS profile

Sandra Mattauch Sonderforschungsbereich/Transregio 89 Invasives Rechnen Katja Lohmann Sonderforschungsbereich/Transregio 89 Invasives Rechnen Frank Hannig Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Daniel Lohmann Technische Fakultät Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Additional Organisation(s)

Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Related research project(s)

DFG SFB/Transregio 89 "Invasive Computing" (TRR 89) July 1, 2010 - Dec. 31, 2022

How to cite

APA:

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), 39-45. https://doi.org/10.1145/3376901

MLA:

Mattauch, Sandra, et al. "A Bibliometric Approach for Detecting the Gender Gap in Computer Science." Communications of the ACM 63.5 (2020): 39-45.

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