Andrew E. Welchman

3.1k total citations
80 papers, 2.0k citations indexed

About

Andrew E. Welchman is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Andrew E. Welchman has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cognitive Neuroscience, 13 papers in Social Psychology and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Andrew E. Welchman's work include Visual perception and processing mechanisms (58 papers), Neural dynamics and brain function (25 papers) and Ophthalmology and Visual Impairment Studies (11 papers). Andrew E. Welchman is often cited by papers focused on Visual perception and processing mechanisms (58 papers), Neural dynamics and brain function (25 papers) and Ophthalmology and Visual Impairment Studies (11 papers). Andrew E. Welchman collaborates with scholars based in United Kingdom, Germany and Japan. Andrew E. Welchman's co-authors include Zoe Kourtzi, Alan M. Wing, Hiroshi Ban, Mark T. Elliott, HH Bülthoff, Julie M. Harris, Reuben Rideaux, Sheng Li, Lisa R. Betts and Pegah Sarkheil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Andrew E. Welchman

78 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew E. Welchman United Kingdom 27 1.8k 379 283 229 208 80 2.0k
Yoram Bonneh Israel 28 1.9k 1.0× 261 0.7× 177 0.6× 188 0.8× 262 1.3× 90 2.1k
Benjamin T. Backus United States 19 1.8k 1.0× 225 0.6× 218 0.8× 238 1.0× 326 1.6× 77 2.0k
Preeti Verghese United States 23 1.8k 1.0× 287 0.8× 202 0.7× 534 2.3× 272 1.3× 81 2.1k
Bosco S. Tjan United States 27 2.1k 1.1× 448 1.2× 146 0.5× 392 1.7× 234 1.1× 87 2.5k
Najib J. Majaj United States 18 2.3k 1.3× 312 0.8× 182 0.6× 480 2.1× 268 1.3× 46 2.7k
Johannes Burge United States 17 1.1k 0.6× 244 0.6× 216 0.8× 177 0.8× 117 0.6× 48 1.3k
C.A. Heywood United Kingdom 25 2.0k 1.1× 453 1.2× 385 1.4× 166 0.7× 136 0.7× 47 2.3k
Robert W. Kentridge United Kingdom 28 2.0k 1.1× 462 1.2× 374 1.3× 135 0.6× 163 0.8× 87 2.4k
Jeffrey A. Saunders Hong Kong 15 1.3k 0.7× 241 0.6× 335 1.2× 162 0.7× 94 0.5× 48 1.6k
Paul B. Hibbard United Kingdom 23 1.3k 0.7× 201 0.5× 260 0.9× 219 1.0× 211 1.0× 119 1.5k

Countries citing papers authored by Andrew E. Welchman

Since Specialization
Citations

This map shows the geographic impact of Andrew E. Welchman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew E. Welchman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew E. Welchman more than expected).

Fields of papers citing papers by Andrew E. Welchman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Welchman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew E. Welchman. The network helps show where Andrew E. Welchman may publish in the future.

Co-authorship network of co-authors of Andrew E. Welchman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew E. Welchman. A scholar is included among the top collaborators of Andrew E. Welchman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew E. Welchman. Andrew E. Welchman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Palmer, Clare E., Emily A. Marshall, Edward Millgate, et al.. (2025). Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care. Journal of Medical Internet Research. 27. e69351–e69351. 1 indexed citations
2.
Donald, Kirsten A., Mahmoud Bukar Maina, Nilesh B. Patel, et al.. (2022). What is next in African neuroscience?. eLife. 11. 7 indexed citations
3.
Jia, Ke, et al.. (2021). Ultra-High-Field Neuroimaging Reveals Fine-Scale Processing for 3D Perception. Journal of Neuroscience. 41(40). 8362–8374. 11 indexed citations
4.
Rideaux, Reuben & Andrew E. Welchman. (2020). But Still It Moves: Static Image Statistics Underlie How We See Motion. Journal of Neuroscience. 40(12). 2538–2552. 18 indexed citations
5.
Rideaux, Reuben, et al.. (2019). Adaptation to Binocular Anticorrelation Results in Increased Neural Excitability. Journal of Cognitive Neuroscience. 32(1). 100–110. 5 indexed citations
6.
Rideaux, Reuben, et al.. (2019). Mixed-polarity random-dot stereograms alter GABA and Glx concentration in the early visual cortex. Journal of Neurophysiology. 122(2). 888–896. 12 indexed citations
7.
Armendáriz, Marcelo, Hiroshi Ban, Andrew E. Welchman, & Wim Vanduffel. (2019). Areal differences in depth cue integration between monkey and human. PLoS Biology. 17(3). e2006405–e2006405. 7 indexed citations
8.
Rideaux, Reuben & Andrew E. Welchman. (2019). Contextual effects on binocular matching are evident in primary visual cortex. Vision Research. 159. 76–85. 4 indexed citations
9.
Shen, Yuan, et al.. (2018). White-Matter Pathways for Statistical Learning of Temporal Structures. eNeuro. 5(3). ENEURO.0382–17.2018. 6 indexed citations
10.
Ban, Hiroshi, et al.. (2014). Cortical organization of binocular disparity in human V3A. Journal of Vision. 14(10). 970–970. 1 indexed citations
11.
Fleming, Roland W., et al.. (2012). Binocular cues for glossiness. Journal of Vision. 12(9). 869–869. 5 indexed citations
12.
Ban, Hiroshi & Andrew E. Welchman. (2012). Distributed representations for 3D perceptual judgments in human visual cortex. Journal of Vision. 12(9). 1040–1040. 1 indexed citations
13.
Brenner, Eli, et al.. (2011). Extra-retinal signals affect the perceived speed of 3D motion. Journal of Vision. 11(11). 323–323. 1 indexed citations
14.
Elliott, Mark T., Alan M. Wing, & Andrew E. Welchman. (2011). The effect of ageing on multisensory integration for the control of movement timing. Experimental Brain Research. 213(2-3). 291–298. 24 indexed citations
15.
Schofield, Andrew J., et al.. (2010). Perceptual learning for second-order cues in a shape-from-shading task. Perception. 39. 39–39. 1 indexed citations
16.
Chandrasekaran, Chandramouli, et al.. (2006). Neural Correlates of Disparity-Defined Shape Discrimination in the Human Brain. Journal of Neurophysiology. 97(2). 1553–1565. 73 indexed citations
17.
Kourtzi, Zoe, Lisa R. Betts, Pegah Sarkheil, & Andrew E. Welchman. (2005). Distributed Neural Plasticity for Shape Learning in the Human Visual Cortex. PLoS Biology. 3(7). e204–e204. 118 indexed citations
18.
Welchman, Andrew E., et al.. (2004). Human observers are biased in judging the angular approach of a projectile. Vision Research. 44(17). 2027–2042. 39 indexed citations
19.
Welchman, Andrew E.. (2004). Human observers are biased in judging the angular approach of a projectile. Vision Research. 44(17). 2027–2042. 4 indexed citations
20.
Welchman, Andrew E., et al.. (2002). Detection of motion in depth: poor motion thresholds using LCD stereogoggles. Perception. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yoram Bonneh Breakdown of academic impact, for papers by Benjamin T. Backus Breakdown of academic impact, for papers by Preeti Verghese Breakdown of academic impact, for papers by Bosco S. Tjan Breakdown of academic impact, for papers by Najib J. Majaj Breakdown of academic impact, for papers by Johannes Burge Breakdown of academic impact, for papers by C.A. Heywood Breakdown of academic impact, for papers by Robert W. Kentridge Breakdown of academic impact, for papers by Jeffrey A. Saunders Breakdown of academic impact, for papers by Paul B. Hibbard
Rankless by CCL
2026