Tarow Indow

72 papers receiving 1.2k citations

Peers

Tarow Indow
Comparison fields: 5 of 109
  • Computational Mathematics 25
  • Cognitive Neuroscience 680
  • Experimental and Cognitive Psychology 326
  • Social Psychology 445
  • General Psychology 24
Replace Gösta Ekman with:
Gösta Ekman Sweden
Alberta S. Gilinsky United States
William R. Uttal United States
Teodor Künnapas Sweden
Theodore E. Parks United States
Peter A. van der Helm Netherlands
David H. Raab United States
Dwight W. Curtis Canada
John C. Ogilvie Canada
Stanley J. Rule Canada
Tarow Indow relative to Gösta Ekman Sweden Gösta Ekman's profile →
Citations per field
00.5×1.5×
Gösta Ekman · 1×
Citations per year

Countries citing papers authored by Tarow Indow

Since Specialization
Citations

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

Fields of papers citing papers by Tarow Indow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Tarow Indow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tarow Indow Line = papers co-authored together Tarow Indow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966107
2 198883
3 197781
4 198277
5 199170
6 196068
7 196062
8 197061
9 197950
10 198440
11 198036
12 196233
13 198332
14 196932
15 196632
16 200327
17 199227
18 196226
19 200420
20 196819

About Tarow Indow

Tarow Indow is a scholar working on Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, Social Psychology, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Color Science and Applications (21 papers), Color perception and design (20 papers), Visual perception and processing mechanisms (20 papers), Categorization, perception, and language (8 papers), Advanced Vision and Imaging (6 papers), Tensor decomposition and applications (4 papers), Sensory Analysis and Statistical Methods (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Computational Mathematics (25 citations), Cognitive Neuroscience (680 citations), Experimental and Cognitive Psychology (326 citations), Social Psychology (445 citations) and General Psychology (24 citations). Tarow Indow has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include S. S. Stevens, Masashi Ida, Toshio Watanabe, A. Kimball Romney, Nanako Aoki, Alan Robertson, M. von Grünau, Roy G. D’Andrade, Taichi Yoshida and Michiko Kobayashi. Their work appears in journals such as Color Research & Application, Journal of Mathematical Psychology, Psychological Review, Proceedings of the National Academy of Sciences and Japanese Psychological Research.

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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