Gender Representation in Brazilian Computer Science Conferences

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 31 Jul 2022Embargo end date: 01 Aug 2022Publisher:Sociedade Brasileira de Computação - SBCJournal:Anais do XVI Women in Information Technology (WIT 2022)

Authors: Natália Dal Pizzol; Eduardo Dos Santos Barbosa; Soraia Raupp Musse;

doi: 10.5753/wit.2022.222939 , 10.48550/arxiv.2208.11020

arXiv: 2208.11020

Gender Representation in Brazilian Computer Science Conferences

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Abstract

This study presents an automated bibliometric analysis of 6569 research papers published in thirteen Brazilian Computer Science Society (SBC) conferences from 1999 to 2021. Our primary goal was to gather data to understand the gender representation in publications in the field of Computer Science. We applied a systematic assignment of gender to 23.573 listed papers authorships, finding that the gender gap for women is significant, with female authors being under-represented in all years of the study.

Related Organizations

Pontifical Catholic University of Rio de Janeiro
Brazil

Keywords

FOS: Computer and information sciences, Computer Science - Computers and Society, Computers and Society (cs.CY), Computer Science - Digital Libraries, Digital Libraries (cs.DL)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average