Tomio Watanabe

1.2k citations
142 papers · 664 · h-index 13

Impact in

Papers in

Tomio Watanabe

119 papers receiving 618 citations

Peers

Tomio Watanabe
Comparison fields: 5 of 59
  • Human-Computer Interaction 183
  • Social Psychology 345
  • Control and Systems Engineering 279
  • Cognitive Neuroscience 173
  • Computer Vision and Pattern Recognition 88
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Jeff Lieberman United States
Naoki Saiwaki Japan
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Katrin S. Lohan United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Tomio Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Tomio Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Tomio Watanabe, 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 Tomio Watanabe Line = papers co-authored together Tomio Watanabe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200463
2 200157
3 199233
4 200423
5 198321
6 200817
7 200016
8 200815
9 201115
10 200715
11 201813
12
Voice-Responsive Eye-Blinking Feedback for Improved Human-to-Machine Speech Input
199312
13 198312
14 200612
15 201611
16 20209
17 20009
18 20189
19 19989
20 20059

About Tomio Watanabe

Tomio Watanabe is a scholar working on Control and Systems Engineering, Human-Computer Interaction, Social Psychology, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 142 papers that have together received 664 indexed citations. Recurring topics across this work include Robotics and Automated Systems (37 papers), Social Robot Interaction and HRI (30 papers), Gaze Tracking and Assistive Technology (21 papers), Robot Manipulation and Learning (17 papers), Hand Gesture Recognition Systems (15 papers), Virtual Reality Applications and Impacts (13 papers), Human Motion and Animation (11 papers) and Color perception and design (10 papers). The work is most often cited by research in Human-Computer Interaction (183 citations), Social Psychology (345 citations), Control and Systems Engineering (279 citations), Cognitive Neuroscience (173 citations) and Computer Vision and Pattern Recognition (88 citations). Tomio Watanabe has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Mitsuru JINDAI, Hiroki Ogawa, Masashi Okubo, Michiya Yamamoto, Irini Giannopulu, Yutaka Ishii, Noboru Kobayashi, T. Kuroda, Takashi Yamada and Kazunori Terada. Their work appears in journals such as Journal of Advanced Mechanical Design Systems and Manufacturing, International Journal of Human-Computer Interaction, Pediatric Research, Advanced Robotics and Frontiers in Psychology.

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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