Journal of Vision

Papers
(The H4-Index of Journal of Vision is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Asymmetries in visual acuity around the visual field77
A review of interactions between peripheral and foveal vision73
Regression-based analysis of combined EEG and eye-tracking data: Theory and applications66
Serial dependence in visual perception: A review65
Five points to check when comparing visual perception in humans and machines36
Meaning and expected surfaces combine to guide attention during visual search in scenes35
Real-world indoor mobility with simulated prosthetic vision: The benefits and feasibility of contour-based scene simplification at different phosphene resolutions34
Opposite effects of choice history and evidence history resolve a paradox of sequential choice bias32
DeepGaze III: Modeling free-viewing human scanpaths with deep learning30
Creepy cats and strange high houses: Support for configural processing in testing predictions of nine uncanny valley theories30
Contributed Session I: A Multi-Modal Visual Assessment System For Monitoring Spaceflight Associated Neuro-Ocular Syndrome (SANS) During Long Duration Spaceflight27
Look-ahead fixations during visuomotor behavior: Evidence from assembling a camping tent26
Translucency perception: A review25
The importance of peripheral vision when searching 3D real-world scenes: A gaze-contingent study in virtual reality24
Perceptual confidence judgments reflect self-consistency23
End-to-end optimization of prosthetic vision22
Selectivity and robustness of sparse coding networks21
Lags and leads of accommodation in humans: Fact or fiction?21
Attractive serial dependence in heading perception from optic flow occurs at the perceptual and postperceptual stages21
A method to integrate and classify normal distributions21
What do radiologists look for? Advances and limitations of perceptual learning in radiologic search20
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