Dean Wyatte
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Social Psychology
- Experimental and Cognitive Psychology
- Co-authors
- Randall C. O’ReillyDavid J. JilkSeth HerdTim CurranFrancisco J. ParadaChen YuYu ChenThomas A. Busey
- Topics
- Visual perception and processing mechanisms (6 papers)Neural dynamics and brain function (5 papers)Face Recognition and Perception (5 papers)
- Journals
- Philosophical Transactions of the Royal Society B Biological SciencesNeuropsychologiaJournal of Cognitive Neuroscience
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Dean Wyatte
14 papers receiving 360 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 252
- Computer Vision and Pattern Recognition 84
- Artificial Intelligence 56
- Social Psychology 35
- Experimental and Cognitive Psychology 31
Countries citing papers authored by Dean Wyatte
This map shows the geographic impact of Dean Wyatte'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 Dean Wyatte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Wyatte more than expected).
Fields of papers citing papers by Dean Wyatte
This network shows the impact of papers produced by Dean Wyatte. 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 Dean Wyatte. The network helps show where Dean Wyatte may publish in the future.
Co-authorship network of co-authors of Dean Wyatte
This figure shows the co-authorship network connecting the top 25 collaborators of Dean Wyatte. A scholar is included among the top collaborators of Dean Wyatte 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 Dean Wyatte. Dean Wyatte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | De-biasing Weakly Supervised Learning by Regularizing Prediction Entropy | 1 |
| 3 | 11 | |
| 4 | 70 | |
| 5 | 16 | |
| 6 | 103 | |
| 7 | 10 | |
| 8 | 21 | |
| 9 | 72 | |
| 10 | 12 | |
| 11 | Consistency and Variability Among Latent Print Examiners as Revealed by Eye Tracking Methodologies | 28 |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 4 |
About Dean Wyatte
Dean Wyatte is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 374 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (6 papers), Neural dynamics and brain function (5 papers) and Face Recognition and Perception (5 papers). The work is most often cited by research in Cognitive Neuroscience (252 citations), Computer Vision and Pattern Recognition (84 citations) and Human-Computer Interaction (15 citations). Dean Wyatte has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Randall C. O’Reilly, David J. Jilk, Seth Herd, Tim Curran, Francisco J. Parada, Chen Yu, Yu Chen, Thomas A. Busey, Jordan E. DeLong and Gillian Rhodes. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Neuropsychologia and Journal of Cognitive Neuroscience.
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.