Yuichi Itoh

1.4k citations
95 papers · 1.1k · h-index 15

Impact in

Papers in

Yuichi Itoh

85 papers receiving 1.0k citations

Peers

Yuichi Itoh
Comparison fields: 5 of 92
  • Human-Computer Interaction 566
  • Applied Psychology 124
  • Cognitive Neuroscience 359
  • Computer Vision and Pattern Recognition 327
  • Social Psychology 266
Replace Julian Frommel with:
Julian Frommel Canada
Marco Fyfe Pietro Gillies United Kingdom
Abdallah El Ali Netherlands
Leonardo Bonanni United States
Baptiste Caramiaux France
Maia Garau United Kingdom
Jean-Luc Lugrin Germany
Xiangshi Ren Japan
Robert LiKamWa United States
Vinoba Vinayagamoorthy United Kingdom
Yuichi Itoh relative to Julian Frommel Canada Julian Frommel's profile →
Citations per field
00.5×2×4×6×8×9.8×
Julian Frommel · 1×
Citations per year

Countries citing papers authored by Yuichi Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuichi Itoh, 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 Yuichi Itoh Line = papers co-authored together Yuichi Itoh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015260
2 200496
3 200778
4 200169
5 200257
6 201355
7 200439
8 200432
9 200926
10 201323
11 201820
12 201118
13 200416
14 201316
15 200416
16 201615
17 201314
18 201413
19 201111
20 200610

About Yuichi Itoh

Yuichi Itoh is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Social Psychology and Mechanical Engineering, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (45 papers), Tactile and Sensory Interactions (36 papers), Augmented Reality Applications (21 papers), Modular Robots and Swarm Intelligence (9 papers), Gaze Tracking and Assistive Technology (6 papers), Context-Aware Activity Recognition Systems (5 papers), Spatial Cognition and Navigation (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Human-Computer Interaction (566 citations), Applied Psychology (124 citations), Cognitive Neuroscience (359 citations), Computer Vision and Pattern Recognition (327 citations) and Social Psychology (266 citations). Yuichi Itoh has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Fumio Kishino, Yoshifumi Kitamura, Kosuke Nakajima, Hiroyuki Ohsaki, Sho Tsugawa, Ehud Sharlin, Benjamin A. Watson, Takao Onoye, Kazuyuki Fujita and Kazuki Takashima. Their work appears in journals such as Lecture notes in computer science, International Journal on Disability and Human Development, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Personal and Ubiquitous Computing and Humanities and Social Sciences Communications.

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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