Tomohiro Amemiya
- Human-Computer Interaction top 0.5%
- Virtual Reality Applications and Impacts 30
- Interactive and Immersive Displays 20
- Gaze Tracking and Assistive Technology 10
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions 60
- Visual perception and processing mechanisms 18
- Motor Control and Adaptation 14
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- Multisensory perception and integration 8
- Mechanical Engineering top 10%
- Teleoperation and Haptic Systems 12
- Social Psychology top 10%
- Co-authors
- Hideyuki AndoTaro MaedaHisashi SUGIYAMATakao MaedaYasushi IkeiMichiteru KitazakiHiroaki GomiKoichi Hirota
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tomohiro Amemiya
82 papers receiving 770 citations
Peers
Comparison fields: 5 of 76
- Human-Computer Interaction 472
- Cognitive Neuroscience 578
- Experimental and Cognitive Psychology 84
- Mechanical Engineering 199
- Social Psychology 99
Countries citing papers authored by Tomohiro Amemiya
This map shows the geographic impact of Tomohiro Amemiya'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 Tomohiro Amemiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Amemiya more than expected).
Fields of papers citing papers by Tomohiro Amemiya
This network shows the impact of papers produced by Tomohiro Amemiya. 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 Tomohiro Amemiya. The network helps show where Tomohiro Amemiya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomohiro Amemiya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 4 | |
| 14 | 2017 | 22 | |
| 15 | 2011 | 5 | |
| 16 | 2010 | 24 | |
| 17 | 2009 | 47 | |
| 18 | 2006 | 3 | |
| 19 | Wearable Finger Braille Interface for Navigating The Deaf-Blind | 2002 | 0 |
| 20 | 1999 | 10 |
About Tomohiro Amemiya
Tomohiro Amemiya is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Sensory Systems, Media Technology and Experimental and Cognitive Psychology, having authored 93 papers that have together received 803 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (60 papers), Virtual Reality Applications and Impacts (30 papers), Interactive and Immersive Displays (20 papers), Visual perception and processing mechanisms (18 papers), Motor Control and Adaptation (14 papers), Teleoperation and Haptic Systems (12 papers), Gaze Tracking and Assistive Technology (10 papers) and Multisensory perception and integration (8 papers). The work is most often cited by research in Human-Computer Interaction (472 citations), Cognitive Neuroscience (578 citations), Experimental and Cognitive Psychology (84 citations), Mechanical Engineering (199 citations) and Social Psychology (99 citations). Tomohiro Amemiya has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hideyuki Ando, Taro Maeda, Hisashi SUGIYAMA, Takao Maeda, Yasushi Ikei, Michiteru Kitazaki, Hiroaki Gomi, Koichi Hirota, Junji Watanabe and Junya Nakamura. Their work appears in journals such as IEEE Transactions on Haptics, IEEE Access, Scientific Reports, IEEE Transactions on Visualization and Computer Graphics and Chemical and Pharmaceutical Bulletin.
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.