Nathan Witthoft

2.4k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Nathan Witthoft is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Nathan Witthoft has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 13 papers in Experimental and Cognitive Psychology and 4 papers in Social Psychology. Recurrent topics in Nathan Witthoft's work include Face Recognition and Perception (16 papers), Visual perception and processing mechanisms (12 papers) and Neural dynamics and brain function (8 papers). Nathan Witthoft is often cited by papers focused on Face Recognition and Perception (16 papers), Visual perception and processing mechanisms (12 papers) and Neural dynamics and brain function (8 papers). Nathan Witthoft collaborates with scholars based in United States, Israel and Germany. Nathan Witthoft's co-authors include Jonathan Winawer, Michael C. Frank, Lera Boroditsky, Lisa Y. Wu, Alex R. Wade, Kalanit Grill‐Spector, Karen F. LaRocque, Golijeh Golarai, Anthony D. Wagner and Valerie A. Carr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Nathan Witthoft

27 papers receiving 1.3k citations

Hit Papers

Russian blues reveal effects of language on color discrim... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Nathan Witthoft
Phil McAleer United Kingdom
Peter Walker United Kingdom
Patryk A. Laurent United States
Damian Stanley United States
Bence Nánay Belgium
Anne M. Cleary United States
Phil McAleer United Kingdom
Nathan Witthoft
Citations per year, relative to Nathan Witthoft Nathan Witthoft (= 1×) peers Phil McAleer

Countries citing papers authored by Nathan Witthoft

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Witthoft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Witthoft. 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 Nathan Witthoft. The network helps show where Nathan Witthoft may publish in the future.

Co-authorship network of co-authors of Nathan Witthoft

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Witthoft. A scholar is included among the top collaborators of Nathan Witthoft 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 Nathan Witthoft. Nathan Witthoft 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.
Weiner, Kevin S., Michael Barnett, Nathan Witthoft, et al.. (2017). Defining the most probable location of the parahippocampal place area using cortex-based alignment and cross-validation. NeuroImage. 170. 373–384. 53 indexed citations
2.
Gomez, Jesse, Franco Pestilli, Nathan Witthoft, et al.. (2015). Functionally Defined White Matter Reveals Segregated Pathways in Human Ventral Temporal Cortex Associated with Category-Specific Processing. Neuron. 85(1). 216–227. 132 indexed citations
3.
Winawer, Jonathan & Nathan Witthoft. (2015). Human V4 and ventral occipital retinotopic maps. Visual Neuroscience. 32. E020–E020. 48 indexed citations
4.
Jacques, Corentin, Nathan Witthoft, Kevin S. Weiner, et al.. (2015). Corresponding ECoG and fMRI category-selective signals in human ventral temporal cortex. Neuropsychologia. 83. 14–28. 81 indexed citations
5.
Witthoft, Nathan, Jonathan Winawer, & David M. Eagleman. (2015). Prevalence of Learned Grapheme-Color Pairings in a Large Online Sample of Synesthetes. PLoS ONE. 10(3). e0118996–e0118996. 34 indexed citations
6.
Yoon, Jennifer M. D., Nathan Witthoft, Jonathan Winawer, et al.. (2014). Cultural Differences in Perceptual Reorganization in US and Pirahã Adults. PLoS ONE. 9(11). e110225–e110225. 6 indexed citations
7.
Witthoft, Nathan, Michael Nguyen, Golijeh Golarai, et al.. (2014). Visual Field Coverage of Category-Selective Regions in Human Visual Cortex Estimated Using Population Receptive Field Mapping. Journal of Vision. 14(10). 718–718. 2 indexed citations
8.
Jacques, Corentin, Nathan Witthoft, Kevin S. Weiner, et al.. (2013). Electrocorticography of category-selectivity in human ventral temporal cortex: spatial organization, responses to single images, and coupling with fMRI. Journal of Vision. 13(9). 495–495. 2 indexed citations
9.
LaRocque, Karen F., Mary Smith, Valerie A. Carr, et al.. (2013). Global Similarity and Pattern Separation in the Human Medial Temporal Lobe Predict Subsequent Memory. Journal of Neuroscience. 33(13). 5466–5474. 153 indexed citations
10.
Witthoft, Nathan, Mai Nguyen, Golijeh Golarai, et al.. (2013). Where Is Human V4? Predicting the Location of hV4 and VO1 from Cortical Folding. Cerebral Cortex. 24(9). 2401–2408. 47 indexed citations
11.
Witthoft, Nathan, Golijeh Golarai, Michael Nguyen, et al.. (2012). Anatomy, Retinotopy, & Category Selectivity in Human Ventral Visual Cortex. Journal of Vision. 12(9). 1177–1177. 1 indexed citations
12.
Yoon, Jennifer M. D., Nathan Witthoft, Jonathan Winawer, et al.. (2011). Thinking for Seeing: Enculturation of Visual-Referential Expertise as Demonstrated by Photo-Triggered Perceptual Reorganization of Two-Tone “Mooney” Images. Cognitive Science. 33(33). 1 indexed citations
13.
Rauschecker, Andreas M., Mohammad Dastjerdi, Kevin S. Weiner, et al.. (2011). Illusions of Visual Motion Elicited by Electrical Stimulation of Human MT Complex. PLoS ONE. 6(7). e21798–e21798. 14 indexed citations
14.
Winawer, Jonathan, Nathan Witthoft, Alexander C. Huk, & Lera Boroditsky. (2010). Common mechanisms for processing of perceived, inferred, and imagined visual motion. Journal of Vision. 5(8). 491–491.
15.
Witthoft, Nathan & Jonathan Winawer. (2010). An objective measure of the effect of adaptation on recognition of famous faces. Journal of Vision. 6(6). 874–874. 5 indexed citations
16.
Witthoft, Nathan & Jonathan Winawer. (2010). 10 Color-grapheme synesthetes with highly similar learned associations. Journal of Vision. 10(7). 871–871. 1 indexed citations
17.
Davidenko, Nicolas, Kalanit Grill‐Spector, & Nathan Witthoft. (2009). Exemplar Frequency Affects Unsupervised Learning of Shapes. eScholarship (California Digital Library). 31(31). 1 indexed citations
18.
Davidenko, Nicolas, Nathan Witthoft, & Jonathan Winawer. (2008). Gender aftereffects in face silhouettes reveal face-specific mechanisms. Visual Cognition. 16(1). 99–103. 14 indexed citations
19.
Boroditsky, Lera, Jonathan Winawer, & Nathan Witthoft. (2006). How Looking at Someone You Don't Know Can Help You to Recognize Someone You Do. eScholarship (California Digital Library). 28(28). 1 indexed citations
20.
Witthoft, Nathan & Jonathan Winawer. (2006). Synesthetic Colors Determined by Having Colored Refrigerator Magnets in Childhood. Cortex. 42(2). 175–183. 105 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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