Tatsuya Teramae
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery 18
- Biomedical Engineering top 10%
- Prosthetics and Rehabilitation Robotics 26
- Muscle activation and electromyography studies 25
- Mechanical Circulatory Support Devices 3
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- Gaze Tracking and Assistive Technology 2
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- Cerebral Palsy and Movement Disorders 3
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- Spinal Cord Injury Research 3
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- Robot Manipulation and Learning 3
- Co-authors
- Jun MorimotoTomoyuki NodaMasashi HamayaTakamitsu MatsubaraBarkan UğurluSang-Ho HyonAkira KitamuraErhan Öztop
- Journals
- The International Journal of Robotics Research (1 paper)IEEE Transactions on Robotics (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- JapanTürkiyeSwitzerland
In The Last Decade
Tatsuya Teramae
37 papers receiving 543 citations
Peers
Comparison fields: 5 of 49
- Rehabilitation 229
- Biomedical Engineering 472
- Physical Therapy, Sports Therapy and Rehabilitation 31
- Human-Computer Interaction 22
- Cognitive Neuroscience 68
Countries citing papers authored by Tatsuya Teramae
This map shows the geographic impact of Tatsuya Teramae'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 Tatsuya Teramae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Teramae more than expected).
Fields of papers citing papers by Tatsuya Teramae
This network shows the impact of papers produced by Tatsuya Teramae. 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 Tatsuya Teramae. The network helps show where Tatsuya Teramae may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatsuya Teramae, 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 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 9 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 26 | |
| 15 | 2017 | 58 | |
| 16 | 2014 | 14 | |
| 17 | 2013 | 12 | |
| 18 | 2011 | 2 | |
| 19 | Estimation of feeling based on EEG by using NN and k-means algorithm for massage system | 2010 | 3 |
| 20 | Force Control Strategy for Massage Chair Based on Masseur’s Knowhow Data Base | 2008 | 1 |
About Tatsuya Teramae
Tatsuya Teramae is a scholar working on Rehabilitation, Biomedical Engineering and Human-Computer Interaction, having authored 41 papers that have together received 555 indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (26 papers), Muscle activation and electromyography studies (25 papers), Stroke Rehabilitation and Recovery (18 papers), Cerebral Palsy and Movement Disorders (3 papers), Mechanical Circulatory Support Devices (3 papers), Spinal Cord Injury Research (3 papers), Robot Manipulation and Learning (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Rehabilitation (229 citations), Biomedical Engineering (472 citations) and Physical Therapy, Sports Therapy and Rehabilitation (31 citations). Tatsuya Teramae has collaborated with scholars based in Japan, Türkiye and Switzerland. Frequent co-authors include Jun Morimoto, Tomoyuki Noda, Masashi Hamaya, Takamitsu Matsubara, Barkan Uğurlu, Sang-Ho Hyon, Akira Kitamura, Erhan Öztop, Michiyuki Kawakami and Jan Babič. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Pattern Recognition Letters.
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.