James Tanaka
Impact in
- Cognitive Neuroscience top 5%
- Face Recognition and Perception
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Psychology of Moral and Emotional Judgment
- Neural dynamics and brain function
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- Evolutionary Psychology and Human Behavior
- Multisensory perception and integration
Papers in
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- Face Recognition and Perception 3
- Cognitive Science and Education Research 1
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- Face recognition and analysis 2
- Face and Expression Recognition 1
- Co-authors
- Pepper Williams (1 shared paper)Michael J. Tarr (1 shared paper)L. Gauthier (1 shared paper)Kang Lee (1 shared paper)Paul C. Quinn (1 shared paper)Jennifer Sánchez (1 shared paper)Olivier Pascalis (1 shared paper)Naiqi G. Xiao (1 shared paper)
- Journals
- Journal of Vision (2 papers)Behavioral and Brain Sciences (2 papers)Vision Research (1 paper)Perception (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
James Tanaka
6 papers receiving 317 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 282
- Experimental and Cognitive Psychology 128
- Family Practice 9
- Computer Vision and Pattern Recognition 82
- Developmental and Educational Psychology 37
Countries citing papers authored by James Tanaka
This map shows the geographic impact of James Tanaka'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 James Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Tanaka more than expected).
Fields of papers citing papers by James Tanaka
This network shows the impact of papers produced by James Tanaka. 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 James Tanaka. The network helps show where James Tanaka may publish in the future.
Co-authors
The 12 scholars most cited alongside James Tanaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 314 | |
| 2 | 2015 | 9 | |
| 3 | 2012 | 5 | |
| 4 | 2018 | 3 | |
| 5 | 1998 | 1 | |
| 6 | 2001 | 1 | |
| 7 | 2010 | 0 |
About James Tanaka
James Tanaka is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Molecular Biology, Dermatology and Neurology, having authored 7 papers that have together received 333 indexed citations. Recurring topics across this work include Face Recognition and Perception (3 papers), Biomedical Text Mining and Ontologies (2 papers), Face recognition and analysis (2 papers), Cognitive Science and Education Research (1 paper), Facial Rejuvenation and Surgery Techniques (1 paper), Face and Expression Recognition (1 paper), Facial Nerve Paralysis Treatment and Research (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Cognitive Neuroscience (282 citations), Experimental and Cognitive Psychology (128 citations), Family Practice (9 citations), Computer Vision and Pattern Recognition (82 citations) and Developmental and Educational Psychology (37 citations). James Tanaka has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Pepper Williams, Michael J. Tarr, L. Gauthier, Kang Lee, Paul C. Quinn, Jennifer Sánchez, Olivier Pascalis, Naiqi G. Xiao, Liezhong Ge and Zhe Wang. Their work appears in journals such as Journal of Vision, Behavioral and Brain Sciences, Vision Research and Perception.
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.