Tatsuya Teramae

720 total citations
41 papers, 555 citations indexed

About

Tatsuya Teramae is a scholar working on Biomedical Engineering, Rehabilitation and Control and Systems Engineering. According to data from OpenAlex, Tatsuya Teramae has authored 41 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 18 papers in Rehabilitation and 4 papers in Control and Systems Engineering. Recurrent topics in Tatsuya Teramae's work include Prosthetics and Rehabilitation Robotics (26 papers), Muscle activation and electromyography studies (25 papers) and Stroke Rehabilitation and Recovery (18 papers). Tatsuya Teramae is often cited by papers focused on Prosthetics and Rehabilitation Robotics (26 papers), Muscle activation and electromyography studies (25 papers) and Stroke Rehabilitation and Recovery (18 papers). Tatsuya Teramae collaborates with scholars based in Japan, Türkiye and Switzerland. Tatsuya Teramae's co-authors include Jun Morimoto, Tomoyuki Noda, Masashi Hamaya, Takamitsu Matsubara, Barkan Uğurlu, Sang-Ho Hyon, Akira Kitamura, Michiyuki Kawakami, Erhan Öztop and Jan Babič and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Pattern Recognition Letters.

In The Last Decade

Tatsuya Teramae

37 papers receiving 543 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tatsuya Teramae Japan 12 472 229 79 68 34 41 555
Kenta Suzuki Japan 7 324 0.7× 189 0.8× 59 0.7× 66 1.0× 24 0.7× 28 492
Suwoong Lee Japan 6 319 0.7× 116 0.5× 70 0.9× 41 0.6× 43 1.3× 11 370
Feiyun Xiao China 12 354 0.8× 134 0.6× 60 0.8× 126 1.9× 31 0.9× 34 528
E. Cattin Italy 8 381 0.8× 239 1.0× 63 0.8× 71 1.0× 22 0.6× 15 460
Erhan Akdoğan Türkiye 10 341 0.7× 234 1.0× 74 0.9× 39 0.6× 58 1.7× 40 506
Giorgio Carpino Italy 13 530 1.1× 197 0.9× 135 1.7× 51 0.8× 67 2.0× 24 615
Tommaso Proietti United States 10 495 1.0× 350 1.5× 50 0.6× 94 1.4× 61 1.8× 18 619
Michael Bernhardt Germany 9 269 0.6× 193 0.8× 52 0.7× 33 0.5× 36 1.1× 17 428
Weiguang Huo China 14 718 1.5× 367 1.6× 83 1.1× 55 0.8× 41 1.2× 35 877
Kyoungchul Kong United States 8 667 1.4× 229 1.0× 78 1.0× 40 0.6× 44 1.3× 9 746

Countries citing papers authored by Tatsuya Teramae

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tatsuya Teramae

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Teramae. A scholar is included among the top collaborators of Tatsuya Teramae based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tatsuya Teramae. Tatsuya Teramae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Teramae, Tatsuya, Takamitsu Matsubara, Tomoyuki Noda, & Jun Morimoto. (2025). Optimizing non-assisted body part movements for robot-assisted therapy. Biomedical Signal Processing and Control. 107. 107817–107817.
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Noda, Tomoyuki, Tatsuya Teramae, Takuya Nakamura, et al.. (2023). Robotized Knee-Ankle-Foot Orthosis-Assisted Gait Training on Genu Recurvatum during Gait in Patients with Chronic Stroke: A Feasibility Study and Case Report. Journal of Clinical Medicine. 12(2). 415–415. 7 indexed citations
6.
Teramae, Tatsuya, et al.. (2023). Combined Ankle Robot Training and Robot-assisted Gait Training Improved the Gait Pattern of a Patient with Chronic Traumatic Brain Injury. Progress in Rehabilitation Medicine. 8(0). n/a–n/a. 2 indexed citations
7.
Teramae, Tatsuya, Tomoyuki Noda, Hiroaki Fujimoto, et al.. (2023). Development of split-force-controlled body weight support (SF-BWS) robot for gait rehabilitation. Frontiers in Human Neuroscience. 17. 1197380–1197380.
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Lisi, Giuseppe, et al.. (2021). Bayesian Estimation of Potential Performance Improvement Elicited by Robot-Guided Training. Frontiers in Neuroscience. 15. 704402–704402. 2 indexed citations
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Lisi, Giuseppe, et al.. (2018). Investigation on the Neural Correlates of Haptic Training. 110. 519–523. 2 indexed citations
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Teramae, Tatsuya, et al.. (2018). Human-In-The-Loop Control and Task Learning for Pneumatically Actuated Muscle Based Robots. Frontiers in Neurorobotics. 12. 71–71. 11 indexed citations
12.
Teramae, Tatsuya, Tomoyuki Noda, & Jun Morimoto. (2017). EMG-Based Model Predictive Control for Physical Human–Robot Interaction: Application for Assist-As-Needed Control. IEEE Robotics and Automation Letters. 3(1). 210–217. 109 indexed citations
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Uğurlu, Barkan, et al.. (2015). Towards balance recovery control for lower body exoskeleton robots with Variable Stiffness Actuators: Spring-loaded flywheel model. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 17. 5551–5556. 6 indexed citations
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Matsubara, Takamitsu, et al.. (2014). Style-phase adaptation of human and humanoid biped walking patterns in real systems. 21. 128–133. 5 indexed citations
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Teramae, Tatsuya, Tomoyuki Noda, Sang-Ho Hyon, & Jun Morimoto. (2013). Modeling and control of a Pneumatic-Electric hybrid system. 4887–4892. 12 indexed citations
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Teramae, Tatsuya, et al.. (2011). Realization of Comfortable Massage by Using Iterative Learning Control Based on EEG. Transactions of the Institute of Systems Control and Information Engineers. 24(6). 127–133. 2 indexed citations
18.
Teramae, Tatsuya, et al.. (2011). Estimation of Comfortable/Uncomfortable Feeling Based on EEG by Using NN and k-means Algorithm for Massage Chair. IEEJ Transactions on Electronics Information and Systems. 131(1). 102–108. 1 indexed citations
19.
Teramae, Tatsuya, et al.. (2010). Estimation of feeling based on EEG by using NN and k-means algorithm for massage system. Society of Instrument and Control Engineers of Japan. 1542–1547. 3 indexed citations
20.
Teramae, Tatsuya, et al.. (2008). Force Control Strategy for Massage Chair Based on Masseur’s Knowhow Data Base. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 161–164. 1 indexed citations

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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