ReviewJournal of eye movement research2026
Eye-Tracking Research: A Bibliometric Analysis Based on Scopus.
Review in Journal of eye movement research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eye tracking is an interdisciplinary research method used in many fields, including engineering, architecture, health sciences, psychology, marketing, and human-computer interaction. Although it is often perceived as a modern research method, its origins can be traced back to the nineteenth century. This study aims to identify the developmental trends and thematic structure of eye-tracking research from its early history to the present. Bibliometric analysis was used to evaluate studies in the field of eye-tracking. A total of 45,230 publications identified in the Scopus database using eye-tracking search terms were analyzed. The most productive authors, institutions, countries, publication sources, keywords, and thematic trends were examined using Bibliometrix in the RStudio environment. The findings show substantial growth in eye-tracking research during 2020-2025, with 22,130 publications recorded during this period. The analysis also shows that the share of eye-tracking publications in total Scopus output increased from 0.0134% in 2000 to 0.0963% in 2025, while the search sensitivity analysis demonstrates that terminology choices substantially affect the size and composition of the retrieved corpus. Computer Science accounted for the largest share of publications. The United States had the highest number of publications. Based on Scopus affiliation records, the University of California system had the highest publication count among the institutional structures identified in the dataset, although this figure may reflect the combined representation of different campuses and affiliated units and should therefore not be interpreted as a direct comparison of individual campuses. In addition to fundamental concepts such as eye movements and visual attention, themes such as EEG, virtual reality, augmented reality, computer vision, machine learning, and deep learning have become more prominent in recent years. Overall, the findings reveal academic orientations and temporal trends in eye-tracking research. They also provide a framework for potential future research directions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.