Whitman Richards
- Cognitive Neuroscience top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Epidemiology top 5%
- Social Psychology top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Co-authors
- Béla JuleszLloyd KaufmanJan J. KoenderinkRonald E. KalilJohn Miles FoleyDonald D. HoffmanD. ReganRobert A. Smith
- Topics
- Visual perception and processing mechanisms (51 papers)Color Science and Applications (19 papers)Neural dynamics and brain function (15 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Whitman Richards
106 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Cognitive Neuroscience 3.8k
- Computer Vision and Pattern Recognition 1.1k
- Epidemiology 764
- Social Psychology 583
- Atomic and Molecular Physics, and Optics 566
Countries citing papers authored by Whitman Richards
This map shows the geographic impact of Whitman Richards'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 Whitman Richards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Whitman Richards more than expected).
Fields of papers citing papers by Whitman Richards
This network shows the impact of papers produced by Whitman Richards. 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 Whitman Richards. The network helps show where Whitman Richards may publish in the future.
Co-authorship network of co-authors of Whitman Richards
This figure shows the co-authorship network connecting the top 25 collaborators of Whitman Richards. A scholar is included among the top collaborators of Whitman Richards 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 Whitman Richards. Whitman Richards is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 11 | |
| 5 | 29 | |
| 6 | 15 | |
| 7 | Image Understanding: Advances in Computational Vision | 2 |
| 8 | Image understanding 1985-86 | 23 |
| 9 | 34 | |
| 10 | 100 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | Texture metamers (A) | 1 |
| 15 | 35 | |
| 16 | 10 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | 29 |
About Whitman Richards
Whitman Richards is a scholar working on Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 107 papers that have together received 5.2k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (51 papers), Color Science and Applications (19 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Cognitive Neuroscience (3.8k citations), Computer Vision and Pattern Recognition (1.1k citations) and Ophthalmology (450 citations). Whitman Richards has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Béla Julesz, Lloyd Kaufman, Jan J. Koenderink, Ronald E. Kalil, John Miles Foley, Donald D. Hoffman, D. Regan, D. Regan, Robert A. Smith and John F. Miller. Their work appears in journals such as Nature, Science and The Journal of Physiology.
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.