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.

中文翻译：

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眼动生物识别：2004 年至 2019 年的文献计量分析

基于眼球运动的人员识别越来越受到关注，因为它具有抗欺骗性并且可用于连续身份验证。因此，研究人员需要了解与该领域相关的人员和内容，包括作者、期刊、会议和机构。本文使用文献计量方法对眼动生物计量学领域进行了全面的定量概述。所有数据和分析均基于 2004 年至 2019 年间出版的英文文档。使用 Scopus 进行信息检索。这项研究的重点是时间演变、主要作者、被引用最多的论文、主要期刊、竞赛和合作网络。