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Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019

by Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 24
Year of Publication: 2020
Authors: Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati
10.5120/ijca2020920243

Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati . Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019. International Journal of Computer Applications. 176, 24 ( May 2020), 1-9. DOI=10.5120/ijca2020920243

@article{ 10.5120/ijca2020920243,
author = { Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati },
title = { Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019 },
journal = { International Journal of Computer Applications },
issue_date = { May 2020 },
volume = { 176 },
number = { 24 },
month = { May },
year = { 2020 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number24/31344-2020920243/ },
doi = { 10.5120/ijca2020920243 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:43:21.849469+05:30
%A Antonio Ricardo Alexandre Brasil
%A Jefferson Oliveira Andrade
%A Karin Satie Komati
%T Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 24
%P 1-9
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

Eye movements Person identification Bibliometric analysis Biometrics

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