HCCVDLLGJun 1, 2020

Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019

arXiv:2006.01310v115 citations
Originality Synthesis-oriented
AI Analysis

This provides a quantitative overview for researchers in biometrics and security, but it is incremental as it synthesizes existing literature without new experimental results.

The paper conducted a bibliometric analysis of eye movement biometrics research from 2004 to 2019, identifying key trends, authors, and publications in the field.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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