Keiji Uchikawa
- Cognitive Neuroscience top 5%
- Social Psychology top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Robert M. BoyntonMitsuo IkedaIchiro KurikiHiroyuki ShinodaKazumichi MatsumiyaPeter K. KaiserSuguru SaitoMasayuki Nakajima
- Topics
- Color perception and design (57 papers)Visual perception and processing mechanisms (56 papers)Color Science and Applications (53 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Keiji Uchikawa
74 papers receiving 952 citations
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 611
- Social Psychology 564
- Atomic and Molecular Physics, and Optics 488
- Experimental and Cognitive Psychology 283
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Keiji Uchikawa
This map shows the geographic impact of Keiji Uchikawa'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 Keiji Uchikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Uchikawa more than expected).
Fields of papers citing papers by Keiji Uchikawa
This network shows the impact of papers produced by Keiji Uchikawa. 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 Keiji Uchikawa. The network helps show where Keiji Uchikawa may publish in the future.
Co-authorship network of co-authors of Keiji Uchikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Uchikawa. A scholar is included among the top collaborators of Keiji Uchikawa 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 Keiji Uchikawa. Keiji Uchikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | A Categorical Perception Model in consideration for Color Constancy | 1 |
| 8 | 13 | |
| 9 | 18 | |
| 10 | 35 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 24 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 0 | |
| 19 | 38 | |
| 20 | Just-noticeable border as a criterion for wavelength discrimination (A) | 3 |
About Keiji Uchikawa
Keiji Uchikawa is a scholar working on Cognitive Neuroscience, Social Psychology and Atomic and Molecular Physics, and Optics, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Color perception and design (57 papers), Visual perception and processing mechanisms (56 papers) and Color Science and Applications (53 papers). The work is most often cited by research in Cognitive Neuroscience (611 citations), Social Psychology (564 citations) and Experimental and Cognitive Psychology (283 citations). Keiji Uchikawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Robert M. Boynton, Mitsuo Ikeda, Ichiro Kuriki, Hiroyuki Shinoda, Kazumichi Matsumiya, Peter K. Kaiser, Suguru Saito, Masayuki Nakajima, Tatsuya Yoshizawa and Robert E. MacLaury. Their work appears in journals such as Vision Research, Journal of the Optical Society of America A and Journal of Vision.
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.