Bradley Duchaine
- Cognitive Neuroscience top 0.2%
- Experimental and Cognitive Psychology top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Social Psychology top 1%
- Neurology top 2%
- Co-authors
- Ken NakayamaDavid PitcherLaura GermineVincent WalshGalit YovelElinor McKoneLúcia GarridoTirta Susilo
- Topics
- Face Recognition and Perception (65 papers)Evolutionary Psychology and Human Behavior (22 papers)Visual Attention and Saliency Detection (18 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Bradley Duchaine
71 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cognitive Neuroscience 6.1k
- Experimental and Cognitive Psychology 2.7k
- Computer Vision and Pattern Recognition 2.3k
- Social Psychology 802
- Neurology 646
Countries citing papers authored by Bradley Duchaine
This map shows the geographic impact of Bradley Duchaine'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 Bradley Duchaine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley Duchaine more than expected).
Fields of papers citing papers by Bradley Duchaine
This network shows the impact of papers produced by Bradley Duchaine. 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 Bradley Duchaine. The network helps show where Bradley Duchaine may publish in the future.
Co-authorship network of co-authors of Bradley Duchaine
This figure shows the co-authorship network connecting the top 25 collaborators of Bradley Duchaine. A scholar is included among the top collaborators of Bradley Duchaine 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 Bradley Duchaine. Bradley Duchaine 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 | 35 | |
| 3 | 108 | |
| 4 | 47 | |
| 5 | 12 | |
| 6 | 53 | |
| 7 | 69 | |
| 8 | 60 | |
| 9 | 46 | |
| 10 | 288 | |
| 11 | 153 | |
| 12 | 275 | |
| 13 | 39 | |
| 14 | 84 | |
| 15 | 257 | |
| 16 | 151 | |
| 17 | 364 | |
| 18 | 342 | |
| 19 | 58 | |
| 20 | 119 |
About Bradley Duchaine
Bradley Duchaine is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 6.9k indexed citations. Recurring topics across this work include Face Recognition and Perception (65 papers), Evolutionary Psychology and Human Behavior (22 papers) and Visual Attention and Saliency Detection (18 papers). The work is most often cited by research in Cognitive Neuroscience (6.1k citations), Experimental and Cognitive Psychology (2.7k citations) and Computer Vision and Pattern Recognition (2.3k citations). Bradley Duchaine has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ken Nakayama, David Pitcher, Laura Germine, Vincent Walsh, Galit Yovel, Ken Nakayama, Elinor McKone, Lúcia Garrido, Tirta Susilo and Nancy Kanwisher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of 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.