Kevin D. Wilson

1.9k citations
13 papers · 1.4k indexed · 1 hit paper · h-index 8
Topics
Face Recognition and Perception (5 papers)Visual perception and processing mechanisms (3 papers)Face recognition and analysis (3 papers)
Partner nations
United States

In The Last Decade

Kevin D. Wilson

12 papers receiving 1.4k citations

Hit Papers

What is "special" about face perception?19982026200720161998250500750

Peers

Kevin D. Wilson
Comparison fields: 5 of 103
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 584
  • Computer Vision and Pattern Recognition 436
  • Social Psychology 140
  • Developmental and Educational Psychology 93
Replace Kim M. Curby with:
Kim M. Curby United States
Kate Crookes Australia
Jürgen M. Kaufmann Germany
Yumiko Otsuka Japan
Jessica Irons Australia
Kirsten A. Dalrymple United States
Mohamed Rebaı̈ France
Johan Hulleman United Kingdom
Peter De Graef Belgium
Sharon Gilaie‐Dotan United Kingdom
Kevin D. Wilson relative to Kim M. Curby United States Kim M. Curby's profile →
Citations per field
00.5×1.5×
Kim M. Curby · 1×
Citations per year

Countries citing papers authored by Kevin D. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. Wilson. 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 Kevin D. Wilson. The network helps show where Kevin D. Wilson may publish in the future.

Co-authorship network of co-authors of Kevin D. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Wilson. A scholar is included among the top collaborators of Kevin D. Wilson 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 Kevin D. Wilson. Kevin D. Wilson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4
Reading the Brain: An Interdisciplinary First-Year Seminar on the Intersection of Neuroscience, Literature, and Popular Culture.
1
5 5
6 16
7 45
8 21
9 43
10
What is "special" about face perception?breakdown →
985
11 12
12 274
13 44

About Kevin D. Wilson

Kevin D. Wilson is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Applied Psychology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face Recognition and Perception (5 papers), Visual perception and processing mechanisms (3 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Experimental and Cognitive Psychology (584 citations) and Computer Vision and Pattern Recognition (436 citations). Kevin D. Wilson has collaborated with scholars based in United States. Frequent co-authors include Martha J. Farah, Maxwell Drain, Marty G. Woldorff, George R. Mangun, Anna N. Walker, Michael E. Williams, James M. Taylor, David M. Rosch, Reuben A. Buford May and Brian P. Meier. Their work appears in journals such as NeuroImage, Psychological Review and Cancer.

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

Rankless by CCL
2026