English

Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019

Human-Computer Interaction 2020-06-03 v1 Computer Vision and Pattern Recognition Digital Libraries Machine Learning

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.

Keywords

Cite

@article{arxiv.2006.01310,
  title  = {Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019},
  author = {Antonio Ricardo Alexandre Brasil and Jefferson Oliveira Andrade and Karin Satie Komati},
  journal= {arXiv preprint arXiv:2006.01310},
  year   = {2020}
}

Comments

9 pages, 2 figures, journal