Ben S. Webb

1.7k total citations
43 papers, 1.2k citations indexed

About

Ben S. Webb is a scholar working on Cognitive Neuroscience, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ben S. Webb has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 13 papers in Epidemiology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ben S. Webb's work include Visual perception and processing mechanisms (37 papers), Neural dynamics and brain function (18 papers) and Ophthalmology and Visual Impairment Studies (12 papers). Ben S. Webb is often cited by papers focused on Visual perception and processing mechanisms (37 papers), Neural dynamics and brain function (18 papers) and Ophthalmology and Visual Impairment Studies (12 papers). Ben S. Webb collaborates with scholars based in United Kingdom, United States and Australia. Ben S. Webb's co-authors include Paul V. McGraw, Andrew T. Astle, Neel T. Dhruv, Peter Lennie, Chris Tailby, Samuel G. Solomon, Andrew M. Derrington, Chris J. Tinsley, Zahra Hussain and Neil W. Roach and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Ben S. Webb

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben S. Webb United Kingdom 19 1.0k 301 187 172 162 43 1.2k
Tom C. A. Freeman United Kingdom 21 1.4k 1.4× 269 0.9× 224 1.2× 144 0.8× 189 1.2× 58 1.7k
Éric Castet France 24 1.4k 1.4× 289 1.0× 168 0.9× 196 1.1× 151 0.9× 68 1.7k
Russell D. Hamer United States 22 895 0.9× 301 1.0× 257 1.4× 355 2.1× 115 0.7× 49 1.4k
Mark W. Pettet United States 20 1.7k 1.6× 221 0.7× 366 2.0× 156 0.9× 105 0.6× 39 1.8k
Sang‐Hun Lee South Korea 15 1.1k 1.0× 92 0.3× 194 1.0× 101 0.6× 148 0.9× 46 1.2k
R. Blake United States 14 1.5k 1.5× 231 0.8× 133 0.7× 103 0.6× 259 1.6× 29 1.8k
Mark Nawrot United States 18 976 0.9× 245 0.8× 128 0.7× 83 0.5× 90 0.6× 45 1.1k
Yoram Bonneh Israel 28 1.9k 1.8× 262 0.9× 145 0.8× 115 0.7× 261 1.6× 90 2.1k
Takanori Uka Japan 20 1.6k 1.5× 150 0.5× 386 2.1× 145 0.8× 80 0.5× 54 1.7k
Ikuya Murakami Japan 25 1.7k 1.7× 128 0.4× 225 1.2× 200 1.2× 155 1.0× 86 1.8k

Countries citing papers authored by Ben S. Webb

Since Specialization
Citations

This map shows the geographic impact of Ben S. Webb'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 Ben S. Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben S. Webb more than expected).

Fields of papers citing papers by Ben S. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben S. Webb. 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 Ben S. Webb. The network helps show where Ben S. Webb may publish in the future.

Co-authorship network of co-authors of Ben S. Webb

This figure shows the co-authorship network connecting the top 25 collaborators of Ben S. Webb. A scholar is included among the top collaborators of Ben S. Webb 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 Ben S. Webb. Ben S. Webb 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.
Watson, David, Michael A. Akeroyd, Neil W. Roach, & Ben S. Webb. (2021). Multiple spatial reference frames underpin perceptual recalibration to audio-visual discrepancies. PLoS ONE. 16(5). e0251827–e0251827. 5 indexed citations
2.
Watson, David, Michael A. Akeroyd, Neil W. Roach, & Ben S. Webb. (2019). Distinct mechanisms govern recalibration to audio-visual discrepancies in remote and recent history. Scientific Reports. 9(1). 8513–8513. 18 indexed citations
3.
Astle, Andrew T., Ben S. Webb, Paul V. McGraw, & Susana T. L. Chung. (2015). Optimizing the viewing position of words increases reading speed in patients with central vision loss. Investigative Ophthalmology & Visual Science. 56(7). 2218–2218. 1 indexed citations
4.
Hussain, Zahra, Carl‐Magnus Svensson, Julien Besle, et al.. (2015). Estimation of cortical magnification from positional error in normally sighted and amblyopic subjects. Journal of Vision. 15(2). 25–25. 16 indexed citations
5.
McGovern, David P., Neil W. Roach, & Ben S. Webb. (2014). Characterizing the effects of multidirectional motion adaptation. Journal of Vision. 14(13). 2–2. 2 indexed citations
6.
Roach, Neil W., David P. McGovern, & Ben S. Webb. (2013). Linking the neural and perceptual consequences of motion adaptation.. Journal of Vision. 13(9). 381–381. 1 indexed citations
7.
Roach, Neil W. & Ben S. Webb. (2013). Adaptation to implied tilt: extensive spatial extrapolation of orientation gradients. Frontiers in Psychology. 4. 438–438. 3 indexed citations
8.
Astle, Andrew T., Roger W. Li, Ben S. Webb, Dennis M. Levi, & Paul V. McGraw. (2013). A Weber-like law for perceptual learning. Scientific Reports. 3(1). 1158–1158. 29 indexed citations
9.
Ledgeway, Timothy, et al.. (2013). Visual motion integration is mediated by directional ambiguities in local motion signals. Frontiers in Computational Neuroscience. 7. 167–167. 1 indexed citations
10.
McGovern, David P., Neil W. Roach, & Ben S. Webb. (2012). Perceptual Learning Reconfigures the Effects of Visual Adaptation. Journal of Neuroscience. 32(39). 13621–13629. 23 indexed citations
11.
Ledgeway, Timothy, et al.. (2011). Global speed perception in human vision is sensitive to the median physical speed of local image motions. Journal of Vision. 11(11). 707–707. 1 indexed citations
12.
Hussain, Zahra, et al.. (2011). Perceptual learning alleviates crowding in amblyopia and the normal periphery. Journal of Vision. 11(11). 425–425. 2 indexed citations
13.
Astle, Andrew T., Paul V. McGraw, & Ben S. Webb. (2011). Can Human Amblyopia be Treated in Adulthood?. Strabismus. 19(3). 99–109. 29 indexed citations
14.
Astle, Andrew T., Ben S. Webb, & Paul V. McGraw. (2010). Spatial frequency discrimination learning in normal and developmentally impaired human vision. Vision Research. 50(23). 2445–2454. 27 indexed citations
15.
Roach, Neil W., Ben S. Webb, & Paul V. McGraw. (2008). Adaptation to global structure induces spatially remote distortions of perceived orientation. Journal of Vision. 8(3). 31–31. 14 indexed citations
16.
Webb, Ben S., Neil W. Roach, & Jonathan W. Peirce. (2008). Masking exposes multiple global form mechanisms. Journal of Vision. 8(9). 16–16. 13 indexed citations
17.
Webb, Ben S., Neil W. Roach, & Paul V. McGraw. (2007). Perceptual Learning in the Absence of Task or Stimulus Specificity. PLoS ONE. 2(12). e1323–e1323. 20 indexed citations
18.
Webb, Ben S., Chris J. Tinsley, Nick E. Barraclough, Amanda Parker, & Andrew M. Derrington. (2003). Gain control from beyond the classical receptive field in primate primary visual cortex. Visual Neuroscience. 20(3). 221–230. 30 indexed citations
19.
Webb, Ben S., Chris J. Tinsley, Nick E. Barraclough, et al.. (2002). Feedback from V1 and inhibition from beyond the classical receptive field modulates the responses of neurons in the primate lateral geniculate nucleus. Visual Neuroscience. 19(5). 583–592. 73 indexed citations
20.
Richards, Anne, et al.. (2002). Anxiety-related bias in the classification of emotionally ambiguous facial expressions.. Emotion. 2(3). 273–287. 149 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.

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