Kô Sakai

761 total citations
63 papers, 415 citations indexed

About

Kô Sakai is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kô Sakai has authored 63 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Kô Sakai's work include Visual perception and processing mechanisms (47 papers), Neural dynamics and brain function (28 papers) and Neurobiology and Insect Physiology Research (8 papers). Kô Sakai is often cited by papers focused on Visual perception and processing mechanisms (47 papers), Neural dynamics and brain function (28 papers) and Neurobiology and Insect Physiology Research (8 papers). Kô Sakai collaborates with scholars based in Japan, United States and France. Kô Sakai's co-authors include Leif H. Finkel, Shigeru Tanaka, Nobuhiko Wagatsuma, Keiichi Kondo, Yoshihisa Tsuji, Kouji Kimura, Hiroshi Tamura, Atsushi Kodama, Tadashi Sugihara and Tomoki Fukai and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Cognitive Neuroscience.

In The Last Decade

Kô Sakai

58 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kô Sakai Japan 12 319 124 77 56 48 63 415
Brian Potetz United States 9 123 0.4× 117 0.9× 45 0.6× 26 0.5× 33 0.7× 13 269
Elad Eban Israel 6 249 0.8× 129 1.0× 156 2.0× 21 0.4× 152 3.2× 11 501
Risto Miikkulainen United States 14 439 1.4× 103 0.8× 129 1.7× 15 0.3× 175 3.6× 23 598
Irina Fedulova Russia 9 98 0.3× 48 0.4× 34 0.4× 14 0.3× 119 2.5× 13 417
Juan A. Sigüenza Spain 6 307 1.0× 62 0.5× 67 0.9× 12 0.2× 59 1.2× 18 591
Joseph Sirosh United States 8 306 1.0× 50 0.4× 97 1.3× 12 0.2× 188 3.9× 17 504
Minjoon Kouh United States 9 507 1.6× 216 1.7× 63 0.8× 12 0.2× 71 1.5× 20 681
Evi Kopelowitz Israel 8 127 0.4× 30 0.2× 79 1.0× 24 0.4× 46 1.0× 12 296
Vipul Arora India 14 149 0.5× 59 0.5× 35 0.5× 6 0.1× 84 1.8× 44 363
Yakov Kazanovich Russia 15 379 1.2× 32 0.3× 112 1.5× 11 0.2× 97 2.0× 39 542

Countries citing papers authored by Kô Sakai

Since Specialization
Citations

This map shows the geographic impact of Kô Sakai'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 Kô Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kô Sakai more than expected).

Fields of papers citing papers by Kô Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kô Sakai. 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 Kô Sakai. The network helps show where Kô Sakai may publish in the future.

Co-authorship network of co-authors of Kô Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Kô Sakai. A scholar is included among the top collaborators of Kô Sakai 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 Kô Sakai. Kô Sakai 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.
Tamura, Hiroshi, et al.. (2024). Local contour features contribute to figure-ground segregation in monkey V4 neural populations and human perception. Neural Networks. 181. 106821–106821. 1 indexed citations
2.
Tamura, Hiroshi, et al.. (2023). Correlation between neural responses and human perception in figure-ground segregation. Frontiers in Systems Neuroscience. 16. 999575–999575. 4 indexed citations
3.
Kimura, Kouji, Atsushi Kodama, Y. Yamane, & Kô Sakai. (2022). Figure-ground responsive fields of monkey V4 neurons estimated from natural image patches. PLoS ONE. 17(6). e0268650–e0268650. 3 indexed citations
4.
Kodama, Atsushi, Kouji Kimura, & Kô Sakai. (2022). Dimensionality of the intermediate-level representation of shape and texture in monkey V4. Neural Networks. 153. 444–449. 4 indexed citations
5.
Sakai, Kô, et al.. (2015). Facilitatory mechanisms of specular highlights in the perception of depth. Vision Research. 115(Pt B). 188–198. 1 indexed citations
6.
Sakai, Kô, et al.. (2014). Perception of Symmetry in Natural Images - A Cortical Representation of Shape.. International Conference on Neural Information Processing. 135–141. 1 indexed citations
7.
Wagatsuma, Nobuhiko, Tobias C. Potjans, Markus Diesmann, Kô Sakai, & Tomoki Fukai. (2012). Space-based and Feature-based Attention in a Realistic Layered-microcircuit Model of Visual Cortex. Journal of Vision. 12(9). 662–662. 1 indexed citations
8.
Sakai, Kô, et al.. (2012). Consistent and robust determination of border ownership based on asymmetric surrounding contrast. Neural Networks. 33. 257–274. 21 indexed citations
9.
Sakai, Kô, et al.. (2011). Decoding of depth and motion in ambiguous binocular perception. Journal of the Optical Society of America A. 28(7). 1445–1445. 2 indexed citations
10.
Sugihara, Tadashi, Yoshihisa Tsuji, & Kô Sakai. (2008). Surround modulation in visual cortex can predict border-ownership selectivity: psychophysical study of border-ownership-dependent tilt aftereffect. Journal of the Optical Society of America A. 25(6). 1426–1426. 3 indexed citations
11.
Wagatsuma, Nobuhiko, et al.. (2008). Spatial attention in early vision for the perception of border ownership. Journal of Vision. 8(7). 22–22. 16 indexed citations
12.
Sugihara, Tadashi, Yoshihisa Tsuji, & Kô Sakai. (2006). Border-ownership-dependent tilt aftereffect in incomplete figures. Journal of the Optical Society of America A. 24(1). 18–18. 10 indexed citations
13.
Sakai, Kô, et al.. (2005). Perception of depth and motion from ambiguous binocular information. Vision Research. 45(19). 2471–2480. 3 indexed citations
14.
Sakai, Kô & Shigeru Tanaka. (2000). Spatial pooling in the second-order spatial structure of cortical complex cells. Vision Research. 40(7). 855–871. 35 indexed citations
15.
Sakai, Kô & Shigeru Tanaka. (1997). A Cortical Mechanism Underlying the Perception of Bar Orientation in Tilt Illusions Based on Figure Segmentation and Population Coding.. International Conference on Neural Information Processing. 93–96.
16.
Sakai, Kô & Leif H. Finkel. (1993). A Network Mechanism for the Determination of Shape-From-Texture. Neural Information Processing Systems. 6. 953–960. 1 indexed citations
17.
Sakai, Kô, et al.. (1991). A Study on Boolean Constraint Solvers.. 253–267. 7 indexed citations
18.
Sakai, Kô, et al.. (1988). Constraints Logic Programming Language CAL.. Future Generation Computer Systems. 263–276. 3 indexed citations
19.
Takagi, Shigeyuki, et al.. (1984). Overall design of SIMPOS.. International Conference on Lightning Protection. 1–12. 4 indexed citations
20.
Sakai, Kô. (1955). On the influences of several metal ions upon photolysis of riboflavin.. 18. 222–231. 2 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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