Takashi Komeda

852 total citations
91 papers, 620 citations indexed

About

Takashi Komeda is a scholar working on Biomedical Engineering, Rehabilitation and Surgery. According to data from OpenAlex, Takashi Komeda has authored 91 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 21 papers in Rehabilitation and 11 papers in Surgery. Recurrent topics in Takashi Komeda's work include Stroke Rehabilitation and Recovery (21 papers), Muscle activation and electromyography studies (17 papers) and Prosthetics and Rehabilitation Robotics (10 papers). Takashi Komeda is often cited by papers focused on Stroke Rehabilitation and Recovery (21 papers), Muscle activation and electromyography studies (17 papers) and Prosthetics and Rehabilitation Robotics (10 papers). Takashi Komeda collaborates with scholars based in Japan, Malaysia and United States. Takashi Komeda's co-authors include Cheng Yee Low, Motoki Takagi, Tasuku MIYOSHI, Hiroyuki Koyama, Shahrol Mohamaddan, Kaoru Inoue, Yoshiyuki Takahashi, Zhenan Jiang, Jamaluddin Mahmud and Naoyuki Amemiya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and International Journal of Molecular Sciences.

In The Last Decade

Takashi Komeda

77 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Komeda Japan 15 292 189 89 79 76 91 620
Aaron Yurkewich Canada 9 288 1.0× 119 0.6× 45 0.5× 31 0.4× 107 1.4× 19 459
Riccardo Secoli United Kingdom 17 347 1.2× 93 0.5× 48 0.5× 27 0.3× 13 0.2× 33 612
Ningbo Yu China 15 366 1.3× 99 0.5× 94 1.1× 27 0.3× 52 0.7× 116 800
Patrick Slade United States 13 371 1.3× 88 0.5× 33 0.4× 23 0.3× 16 0.2× 21 666
Kei Ohtsuka Japan 14 106 0.4× 239 1.3× 29 0.3× 220 2.8× 159 2.1× 54 587
Francisco J. Badesa Spain 16 409 1.4× 391 2.1× 73 0.8× 37 0.5× 34 0.4× 46 716
Baofeng Gao China 13 591 2.0× 141 0.7× 37 0.4× 7 0.1× 15 0.2× 64 757
Mahta Khoshnam Canada 14 463 1.6× 29 0.2× 34 0.4× 8 0.1× 27 0.4× 29 598
Miguel Velhote Correia Portugal 15 294 1.0× 129 0.7× 42 0.5× 64 0.8× 52 0.7× 83 746

Countries citing papers authored by Takashi Komeda

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Komeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Komeda

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Komeda. A scholar is included among the top collaborators of Takashi Komeda 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 Takashi Komeda. Takashi Komeda 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.
Komeda, Takashi, Cheng Yee Low, Fazah Akhtar Hanapiah, et al.. (2015). VALUE-DRIVEN DESIGN OF A HIGH FIDELITY PART-TASK TRAINER FOR UPPER LIMB DISORDERS. Jurnal Teknologi. 76(4).
2.
Nguyễn, Trung Thành, et al.. (2014). A novel active ankle orthosis system: Idea and design.
3.
Komeda, Takashi, et al.. (2014). A Questionnaire-Based Survey: Therapists Response towards Upper Limb Disorder Learning Tool. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Kaneko, Keisuke, et al.. (2013). 2A2-B13 Development of the system for grasping an object with sensors(Welfare Robotics and Mechatronics (2)). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2013(0). _2A2–B13_1.
5.
Komeda, Takashi, et al.. (2013). Emulation of muscle tone of upper limb spasticity and rigidity. 22. 1590–1593. 8 indexed citations
6.
Mahmud, Jamaluddin, et al.. (2012). Development of Dynamic Ankle Foot Orthosis for Therapeutic Application. Procedia Engineering. 41. 1432–1440. 21 indexed citations
7.
Kato, Tomohisa, Minoru Sato, Shinichiro Yamamoto, Takashi Komeda, & Kimitaka Nakazawa. (2010). Development of the locomotor-like passive stepping movement device by injecting jet-water to foot sole. 48(1). 133–138.
8.
HAYASHI, S., et al.. (2010). Development of a tomato harvesting robot with a vision system using specular reflection. (Part 2) - Vehicle-motion control by motion-image processing and harvesting experiment.. Journal of the Japanese Society of Agricultural Machinery. 72(6). 595–603.
9.
MIYOSHI, Tasuku, et al.. (2010). Upper limb neurorehabilitation in patients with stroke using haptic device system: Reciprocal bi-articular muscle activities reflect as a result of improved circle-drawing smoothness. Disability and Rehabilitation Assistive Technology. 5(5). 370–375. 5 indexed citations
10.
Shibata, Masahiro, Takehiro Yamakoshi, Ken-ichi Yamakoshi, & Takashi Komeda. (2010). Observation of capillary flow in human skin during tissue compression using CCD video-microscopy. PubMed. 24. 5161–5164. 3 indexed citations
11.
Komeda, Takashi, et al.. (2009). Solving POMDPs with Automatic Discovery of Subgoals. BiblioBoard Library Catalog (Open Research Library). 1 indexed citations
12.
Komeda, Takashi, et al.. (2008). REINFORCEMENT LEARNING FOR POMDP USING STATE CLASSIFICATION. Applied Artificial Intelligence. 22(7-8). 761–779. 13 indexed citations
13.
Koyama, Hiroyuki, et al.. (2007). 1A1-J05 Development of a Grip Aid System : For Grasp Assistance and Rehabilitation. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2007(0). _1A1–J05_1. 1 indexed citations
14.
Komeda, Takashi, et al.. (2007). Reinforcement Learning for POMDP Using State Classification.. 45–51. 1 indexed citations
15.
Komeda, Takashi, et al.. (2007). Knowledge-based recurrent neural networks in Reinforcement Learning. 169–174. 3 indexed citations
16.
Takagi, Motoki, et al.. (2006). 2P2-A20 Basic Research on a Upper Limb Patient Simulator. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2006(0). _2P2–A20_1. 1 indexed citations
17.
Komeda, Takashi, et al.. (2005). Tomato Fruit Detection System Using Specular Reflection. Journal of the Japanese Society of Agricultural Machinery. 67(6). 95–104. 2 indexed citations
18.
Nagata, A., et al.. (2004). Development of a Grip Aid System for Grasp Assistance and Rehabilitation. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2004(0). 7–7. 1 indexed citations
19.
Koyama, Hiroyuki, et al.. (2002). Development of the Robot System for Tele-Ultrasound imaging diagnosis. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2002(0). 63–63. 3 indexed citations
20.
Komeda, Takashi, et al.. (1985). Spectral response of boron-implanted amorphous silicon Schottky diode. Journal of Applied Physics. 57(6). 2280–2284. 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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