Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019
June 01, 2020 Β· Declared Dead Β· π International Journal of Computer Applications
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Authors
Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati
arXiv ID
2006.01310
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CV,
cs.DL,
cs.LG
Citations
13
Venue
International Journal of Computer Applications
Last Checked
4 months ago
Abstract
Person identification based on eye movements is getting more and more attention, as it is anti-spoofing resistant and can be useful for continuous authentication. Therefore, it is noteworthy for researchers to know who and what is relevant in the field, including authors, journals, conferences, and institutions. This paper presents a comprehensive quantitative overview of the field of eye movement biometrics using a bibliometric approach. All data and analyses are based on documents written in English published between 2004 and 2019. Scopus was used to perform information retrieval. This research focused on temporal evolution, leading authors, most cited papers, leading journals, competitions and collaboration networks.
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