Toshiyuki Kondo

2.9k total citations · 1 hit paper
144 papers, 1.9k citations indexed

About

Toshiyuki Kondo is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Toshiyuki Kondo has authored 144 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 44 papers in Biomedical Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Toshiyuki Kondo's work include Motor Control and Adaptation (24 papers), EEG and Brain-Computer Interfaces (24 papers) and Muscle activation and electromyography studies (23 papers). Toshiyuki Kondo is often cited by papers focused on Motor Control and Adaptation (24 papers), EEG and Brain-Computer Interfaces (24 papers) and Muscle activation and electromyography studies (23 papers). Toshiyuki Kondo collaborates with scholars based in Japan, United Kingdom and United States. Toshiyuki Kondo's co-authors include Sachiko Tsukita, Shigenobu Yonemura, Takuya Sasaki, Morito Monden, Nobuhiro Sato, Yoshimi Takai, Yoshikatsu Hayashi, Koji Ito, Akio Ishiguro and Y. Uchikawa and has published in prestigious journals such as Circulation, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Toshiyuki Kondo

127 papers receiving 1.8k citations

Hit Papers

Regulation mechanism of ERM (ezrin/radixin/moesin) protei... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshiyuki Kondo Japan 19 480 392 364 285 178 144 1.9k
Hiroshi Shimizu Japan 29 764 1.6× 416 1.1× 907 2.5× 279 1.0× 289 1.6× 263 3.9k
Henning Schmidt Germany 33 682 1.4× 183 0.5× 2.2k 6.0× 292 1.0× 168 0.9× 127 3.9k
Kenji Inoue Japan 27 616 1.3× 77 0.2× 383 1.1× 88 0.3× 67 0.4× 203 3.5k
Andreas Schwarz Germany 30 371 0.8× 1.0k 2.7× 680 1.9× 295 1.0× 215 1.2× 108 3.2k
Zhong Xue United States 27 378 0.8× 368 0.9× 163 0.4× 41 0.1× 64 0.4× 127 2.9k
Toshihiro Hayashi Japan 20 103 0.2× 461 1.2× 150 0.4× 54 0.2× 124 0.7× 139 1.5k
Beng Ti Ang Singapore 26 494 1.0× 752 1.9× 471 1.3× 133 0.5× 499 2.8× 73 2.6k
Paul Bentley United Kingdom 35 308 0.6× 721 1.8× 787 2.2× 40 0.1× 334 1.9× 113 4.4k
Ryo Watanabe Japan 25 144 0.3× 84 0.2× 511 1.4× 81 0.3× 47 0.3× 191 2.6k
David J. Powell United States 24 167 0.3× 111 0.3× 688 1.9× 161 0.6× 42 0.2× 66 2.4k

Countries citing papers authored by Toshiyuki Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Toshiyuki Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiyuki Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Kondo. A scholar is included among the top collaborators of Toshiyuki Kondo 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 Toshiyuki Kondo. Toshiyuki Kondo 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.
Nagaratnam, Kiruba, et al.. (2025). Immersive virtual reality enhanced reinforcement induced physical therapy (EVEREST). Displays. 87. 102962–102962. 1 indexed citations
2.
Sato, Daisuke, Hiroyasu Sato, Toshiyuki Kondo, et al.. (2024). Anti-IgLON5 Disease Showing an Improvement in Dysautonomia, Including Vocal Cord Palsy, via Combined Immunotherapy. Internal Medicine. 63(15). 2187–2191. 2 indexed citations
3.
Yamada, Shigeki, Chifumi Iseki, Shigeo Ueda, et al.. (2024). Development of a Gait Analysis Application for Assessing Upper and Lower Limb Movements to Detect Pathological Gait. Sensors. 24(19). 6329–6329.
5.
Iseki, Chifumi, Toshiyuki Kondo, Yoshiyuki Kobayashi, et al.. (2023). Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data   Acquired by an iOS Application (TDPT-GT). Sensors. 23(13). 6217–6217. 7 indexed citations
6.
7.
Sato, Yoshiaki, Kenji Takemoto, Akiko Saito, et al.. (2015). Multicenter observational study comparing sedation/analgesia protocols for laser photocoagulation treatment of retinopathy of prematurity. Journal of Perinatology. 35(11). 965–969. 13 indexed citations
8.
Kondo, Toshiyuki, et al.. (2012). A proposal of EMG-based wheelchair for preventing disuse of lower motor function. Society of Instrument and Control Engineers of Japan. 236–239. 9 indexed citations
9.
Yamaguchi, Hiroshi & Toshiyuki Kondo. (2011). Analysis of motor skills for throwing darts: Measurement of release timing. Society of Instrument and Control Engineers of Japan. 2105–2110. 1 indexed citations
10.
Okada, Hidehiko, et al.. (2009). Comparison of web accessibility within japanese educational institution websites. 2009 ICCAS-SICE. 3605–3608. 3 indexed citations
11.
Kondo, Toshiyuki, et al.. (2008). Inaccuracy of Internal Models in Force Fields and Complementary Use of Impedance Control. Transactions of the Society of Instrument and Control Engineers. 44(11). 896–904. 2 indexed citations
12.
Ito, K., et al.. (2004). Upper-limb impedance adjustment mechanism for dynamic environments. Society of Instrument and Control Engineers of Japan. 3. 2660–2664. 2 indexed citations
13.
Kondo, Toshiyuki & Koji Ito. (2003). A Reinforcement Learning with Evolutionary State Recruitment Strategy for Autonomous Mobile Robots Control. Transactions of the Society of Instrument and Control Engineers. 39(9). 857–864. 1 indexed citations
14.
Izawa, Jun, Toshiyuki Kondo, & Koji Ito. (2003). Motor Learning Model through Reinforcement Learning with Neural Internal Model. Transactions of the Society of Instrument and Control Engineers. 39(7). 679–687. 1 indexed citations
15.
Kondo, Toshiyuki & Keisuke Ito. (2003). A study on designing controller for peg-pushing robot by using reinforcement learning with adaptive state recruitment strategy. Society of Instrument and Control Engineers of Japan. 1. 695–700. 2 indexed citations
16.
Kondo, Toshiyuki, et al.. (1999). Realization of Robust Controllers in Evolutionary Robotics. Transactions of the Society of Instrument and Control Engineers. 35(11). 1407–1414. 2 indexed citations
17.
Kondo, Toshiyuki, Akio Ishiguro, & Y. Uchikawa. (1999). An Emergent Approach to Construct Behavior Arbitration Mechanism for Autonomous Mobile Robot. Transactions of the Society of Instrument and Control Engineers. 35(2). 262–270. 3 indexed citations
18.
Ishiguro, Akio, et al.. (1999). Autonomous Mobile Robot Control by a Neural Network with Dynamically-Rearranging Function. 11. 213–218. 11 indexed citations
19.
Kondo, Toshiyuki, Akio Ishiguro, & Y. Uchikawa. (1998). Evolutionary Construction of Neural Controllers Using the Concept of Phenotypic Plasticity. Transactions of the Society of Instrument and Control Engineers. 34(6). 648–650. 1 indexed citations
20.
Ishiguro, Akio, Yuji Watanabe, Toshiyuki Kondo, & Y. Uchikawa. (1997). Construction of a Decentralized Consensus-Making Network Based on the Immune System. Transactions of the Society of Instrument and Control Engineers. 33(6). 524–532. 3 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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