Keiji Uchikawa

1.4k total citations
84 papers, 1.0k citations indexed

About

Keiji Uchikawa is a scholar working on Social Psychology, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Keiji Uchikawa has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Social Psychology, 57 papers in Cognitive Neuroscience and 53 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Keiji Uchikawa's work include Color perception and design (57 papers), Visual perception and processing mechanisms (56 papers) and Color Science and Applications (53 papers). Keiji Uchikawa is often cited by papers focused on Color perception and design (57 papers), Visual perception and processing mechanisms (56 papers) and Color Science and Applications (53 papers). Keiji Uchikawa collaborates with scholars based in Japan, United States and United Kingdom. Keiji Uchikawa's 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 and has published in prestigious journals such as Vision Research, Journal of the Optical Society of America A and Journal of Vision.

In The Last Decade

Keiji Uchikawa

74 papers receiving 952 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keiji Uchikawa Japan 20 611 564 488 283 156 84 1.0k
Ichiro Kuriki Japan 17 685 1.1× 345 0.6× 262 0.5× 159 0.6× 141 0.9× 81 908
Thorsten Hansen Germany 20 1.2k 1.9× 721 1.3× 512 1.0× 401 1.4× 221 1.4× 36 1.5k
Allen L. Nagy United States 17 555 0.9× 313 0.6× 282 0.6× 144 0.5× 97 0.6× 39 709
Eriko Miyahara United States 10 450 0.7× 251 0.4× 247 0.5× 130 0.5× 55 0.4× 17 569
Susan F. te Pas Netherlands 17 566 0.9× 197 0.3× 188 0.4× 159 0.6× 113 0.7× 53 881
Charles M. M. de Weert Netherlands 15 649 1.1× 357 0.6× 354 0.7× 89 0.3× 52 0.3× 36 725
M. D’Zmura United States 5 446 0.7× 224 0.4× 335 0.7× 59 0.2× 143 0.9× 9 590
Yoko Mizokami Japan 14 710 1.2× 300 0.5× 257 0.5× 336 1.2× 134 0.9× 55 895
Marina Bloj United Kingdom 13 546 0.9× 357 0.6× 442 0.9× 54 0.2× 236 1.5× 47 838
Glenn E. Meyer United States 16 783 1.3× 170 0.3× 195 0.4× 178 0.6× 98 0.6× 43 934

Countries citing papers authored by Keiji Uchikawa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Uchikawa, Keiji, et al.. (2017). Understanding individual differences in color appearance of “#TheDress” based on the optimal color hypothesis. Journal of Vision. 17(8). 10–10. 16 indexed citations
2.
Uchikawa, Keiji. (2014). Categorical color perception of color normal and deficient observers. Optical Review. 21(6). 911–918. 7 indexed citations
3.
Uchikawa, Keiji, et al.. (2014). Effects of visual attention on chromatic and achromatic detection sensitivities. Journal of the Optical Society of America A. 31(5). 944–944. 2 indexed citations
4.
Uchikawa, Keiji, et al.. (2011). Changing Driver's Sensation of Speed Applying Vection Caused by Flickering Boards Placed on Sides of Road. The Journal of The Institute of Image Information and Television Engineers. 65(6). 833–840. 2 indexed citations
5.
Nagao, Tomoharu, et al.. (2005). A Categorical Perception Model in Consideration for Illuminant Changes Using Neural Network. The Journal of The Institute of Image Information and Television Engineers. 59(12). 1809–1815. 1 indexed citations
6.
Uchikawa, Keiji, et al.. (2005). Color category influences heterogeneous visual search for color. Journal of the Optical Society of America A. 22(11). 2309–2309. 19 indexed citations
7.
Nagao, Tomoharu, et al.. (2004). A Categorical Perception Model in consideration for Color Constancy. 103(540). 1–5. 1 indexed citations
8.
Uchikawa, Keiji, et al.. (2004). Example-based color stylization based on categorical perception. 91–98. 26 indexed citations
9.
Yamauchi, Yasuki & Keiji Uchikawa. (2004). Limit of the Surface-Color Mode Perception under Non-Uniform Illuminations. Optical Review. 11(4). 279–287. 2 indexed citations
10.
Matsumiya, Kazumichi & Keiji Uchikawa. (2003). The role of presaccadic compression of visual space in spatial remapping across saccadic eye movements. Vision Research. 43(18). 1969–1981. 13 indexed citations
11.
Matsumiya, Kazumichi & Keiji Uchikawa. (2001). Apparent size of an object remains uncompressed during presaccadic compression of visual space. Vision Research. 41(23). 3039–3050. 35 indexed citations
12.
Uchikawa, Keiji, et al.. (2000). . The Journal of The Institute of Image Information and Television Engineers. 54(5). 662–670. 1 indexed citations
13.
Koida, Kowa & Keiji Uchikawa. (2000). Multi-Stage Categorical Color Perception Revealed with a Color Space Classification Method. JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN. 84(5). 302–311. 1 indexed citations
14.
Matsumiya, Kazumichi & Keiji Uchikawa. (2000). Distortion of Visual Space During Pursuit Eye Movements. Optical Review. 7(3). 241–248. 7 indexed citations
15.
Matsumiya, Kazumichi, Keiji Uchikawa, & Ichiro Kuriki. (1998). Human Visual and Auditory Information. Change in Contrast Sensitivity in the Peripheral Visual Field by Central Visual Task and Observation under the Condition with Eye Movements.. The Journal of The Institute of Image Information and Television Engineers. 52(4). 565–570. 1 indexed citations
16.
Kuriki, Ichiro & Keiji Uchikawa. (1998). Adaptive shift of visual sensitivity balance under ambient illuminant change. Journal of the Optical Society of America A. 15(9). 2263–2263. 24 indexed citations
17.
Uchikawa, Keiji. (1992). Categorical Characteristics of Color Discrimination in Memory. 39. SaC1–SaC1.
18.
Uchikawa, Keiji & Mitsuo Ikeda. (1985). Wavelength discrimination with a chromatically alternating stimulus. Color Research & Application. 10(4). 204–209. 1 indexed citations
19.
Kaiser, Peter K. & Keiji Uchikawa. (1982). Just-noticeable border as a criterion for wavelength discrimination (A). Journal of the Optical Society of America A. 72. 1741. 3 indexed citations
20.
Uchikawa, Keiji & Mitsuo Ikeda. (1981). Temporal deterioration of wavelength discrimination with successive comparison method. Vision Research. 21(4). 591–595. 42 indexed citations

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.

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