Annual Review of Vision Science

Papers
(The TQCC of Annual Review of Vision Science is 17. 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 2020-02-01 to 2024-02-01.)
ArticleCitations
Reprogramming Müller Glia to Regenerate Retinal Neurons98
Axon Regeneration in the Mammalian Optic Nerve93
Visual Search: How Do We Find What We Are Looking For?78
Retina Metabolism and Metabolism in the Pigmented Epithelium: A Busy Intersection55
Visual Functions of Primate Area V441
Genetic and Environmental Risk Factors for Keratoconus40
Anatomy and Function of the Primate Entorhinal Cortex36
Face Recognition by Humans and Machines: Three Fundamental Advances from Deep Learning35
Cellular-Scale Imaging of Transparent Retinal Structures and Processes Using Adaptive Optics Optical Coherence Tomography35
Human Organoids for the Study of Retinal Development and Disease34
Can We See with Melanopsin?31
Generating and Using Transcriptomically Based Retinal Cell Atlases29
Minimally Invasive Glaucoma Surgery: A Critical Appraisal of the Literature29
Feature Detection by Retinal Ganglion Cells28
Reading: The Confluence of Vision and Language28
The Diversity of Eyes and Vision26
Topographic Variations in Retinal Encoding of Visual Space26
Aging of the Retina: Molecular and Metabolic Turbulences and Potential Interventions26
Tuning the Senses: How the Pupil Shapes Vision at the Earliest Stage25
Role of Feedback Connections in Central Visual Processing23
Optical Coherence Tomography and Glaucoma23
Binocular Vision and Stereopsis Across the Animal Kingdom22
Mobile Computational Photography: A Tour21
Linking Neuronal Direction Selectivity to Perceptual Decisions About Visual Motion19
Functional Organization of Extraocular Motoneurons and Eye Muscles18
Retinal Ganglion Cell Axon Wiring Establishing the Binocular Circuit17
Signals Related to Color in the Early Visual Cortex17
17
Image-Computable Ideal Observers for Tasks with Natural Stimuli17
17
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