Shingo Shimoda

1.8k total citations
108 papers, 1.1k citations indexed

About

Shingo Shimoda is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Shingo Shimoda has authored 108 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Biomedical Engineering, 48 papers in Cognitive Neuroscience and 23 papers in Rehabilitation. Recurrent topics in Shingo Shimoda's work include Muscle activation and electromyography studies (41 papers), Motor Control and Adaptation (30 papers) and Stroke Rehabilitation and Recovery (23 papers). Shingo Shimoda is often cited by papers focused on Muscle activation and electromyography studies (41 papers), Motor Control and Adaptation (30 papers) and Stroke Rehabilitation and Recovery (23 papers). Shingo Shimoda collaborates with scholars based in Japan, United Arab Emirates and China. Shingo Shimoda's co-authors include Fady Alnajjar, Karl Iagnemma, Hidenori Kimura, Mitsuhiro Hayashibe, Hiroshi Yamasaki, Yuhji Kuroda, Alejandro Lopez‐Rincon, Ichiro Nakatani, Takuji Kubota and Saugat Bhattacharyya and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shingo Shimoda

100 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Shimoda Japan 19 502 361 202 196 151 108 1.1k
Mohamed Bouri Switzerland 22 1.6k 3.2× 322 0.9× 713 3.5× 448 2.3× 71 0.5× 105 2.3k
Uriel Martínez-Hernández United Kingdom 22 581 1.2× 312 0.9× 55 0.3× 253 1.3× 222 1.5× 82 1.3k
D.W. Repperger United States 23 957 1.9× 424 1.2× 124 0.6× 436 2.2× 63 0.4× 149 2.0k
Adriano A. G. Siqueira Brazil 21 806 1.6× 65 0.2× 386 1.9× 469 2.4× 75 0.5× 129 1.6k
Jan Babič Slovenia 22 1.2k 2.4× 249 0.7× 471 2.3× 491 2.5× 76 0.5× 94 1.8k
Renaud Ronsse Belgium 22 1.2k 2.5× 425 1.2× 425 2.1× 199 1.0× 57 0.4× 90 1.7k
Yoshifumi Morita Japan 14 190 0.4× 119 0.3× 99 0.5× 254 1.3× 31 0.2× 179 804
Estela Bicho Portugal 22 285 0.6× 383 1.1× 46 0.2× 464 2.4× 356 2.4× 110 1.5k
Eric T. Wolbrecht United States 22 869 1.7× 384 1.1× 1.1k 5.3× 92 0.5× 24 0.2× 61 1.6k
C. David Remy United States 28 2.0k 4.1× 77 0.2× 281 1.4× 666 3.4× 118 0.8× 93 2.4k

Countries citing papers authored by Shingo Shimoda

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Shimoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Shimoda

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Shimoda. A scholar is included among the top collaborators of Shingo Shimoda 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 Shingo Shimoda. Shingo Shimoda 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.
Li, Xuesi, et al.. (2025). Neuro-Modulation Analysis Based on Muscle Synergy Graph Neural Network in Human Locomotion. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1381–1391.
2.
Shimoda, Shingo, et al.. (2025). Tailoring neuromuscular dynamics: A modeling framework for realistic sEMG simulation. PLoS ONE. 20(6). e0319162–e0319162.
3.
Sciutti, Alessandra, Michael Beetz, Tetsunari Inamura, et al.. (2023). The Present and the Future of Cognitive Robotics [TC Spotlight]. IEEE Robotics & Automation Magazine. 30(3). 160–163. 1 indexed citations
4.
Sun, Tao, Shingo Shimoda, Zhe Chen, et al.. (2022). Bio-inspired engineering of a perfusion culture platform for guided three-dimensional nerve cell growth and differentiation. Lab on a Chip. 22(5). 1006–1017. 16 indexed citations
5.
Hayashibe, Mitsuhiro & Shingo Shimoda. (2022). Synergetic synchronized oscillation by distributed neural integrators to induce dynamic equilibrium in energy dissipation systems. Scientific Reports. 12(1). 17163–17163. 3 indexed citations
6.
An, Qi, Ruoxi Wang, Kazunori Yoshida, et al.. (2021). Analysis of muscle synergy and kinematics in sit-to-stand motion of hemiplegic patients in subacute period. Advanced Robotics. 35(13-14). 867–877. 5 indexed citations
7.
Úbeda, Andrés, et al.. (2021). Effects of Force Modulation on Large Muscles during Human Cycling. Brain Sciences. 11(11). 1537–1537. 1 indexed citations
8.
An, Qi, Hiroshi Yamakawa, Kazunori Yoshida, et al.. (2021). Classification of Motor Impairments of Post-Stroke Patients Based on Force Applied to a Handrail. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2399–2406. 6 indexed citations
9.
An, Qi, Kazunori Yoshida, Hiroshi Yamakawa, et al.. (2020). Temporal Muscle Synergy Features Estimate Effects of Short-Term Rehabilitation in Sit-to-Stand of Post-Stroke Patients. IEEE Robotics and Automation Letters. 5(2). 1796–1802. 9 indexed citations
10.
An, Qi, Hiroshi Yamakawa, Yusuke Tamura, et al.. (2019). Temporal Features of Muscle Synergies in Sit-to-Stand Motion Reflect the Motor Impairment of Post-Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(10). 2118–2127. 47 indexed citations
11.
Uchida, Kenko, Yuta Watanabe, Arino Yaguchi, et al.. (2019). Mathematical modeling of septic shock based on clinical data. Theoretical Biology and Medical Modelling. 16(1). 5–5. 10 indexed citations
12.
Shimoda, Shingo, et al.. (2017). Design of a control system for a knee rehabilitation orthosis using a recovery status. 1–2. 1 indexed citations
13.
Lopez‐Rincon, Alejandro & Shingo Shimoda. (2016). The inverse problem in electroencephalography using the bidomain model of electrical activity. Journal of Neuroscience Methods. 274. 94–105. 15 indexed citations
14.
Asín-Prieto, Guillermo, José Carlos González, José L. Pons, et al.. (2015). Testing the generation of speed-dependent gait trajectories to control a 6DoF overground exoskeleton. Lecture notes in computer science. 9245. 495–501. 1 indexed citations
15.
Shimoda, Shingo, Takashi Kubota, & Ichiro Nakatani. (2005). New planetary explorer with appropriate mobility mechanism for gravity environment. 603(603). 281–286.
16.
Kubota, Takuji, et al.. (2005). NEW POSITION ESTIMATION METHOD BASED ON MAP MATCHING FOR PLANETARY ROVER. 603. 99. 2 indexed citations
17.
Shimoda, Shingo, Takashi Kubota, & Ichiro Nakatani. (2005). Attitude Control of Satellite with Two Wheels Considering Maneuver Path. Transactions of the Society of Instrument and Control Engineers. 41(10). 813–820. 3 indexed citations
18.
Shimoda, Shingo, et al.. (2004). Attitude control of two-wheel-satellite considering maneuver path. JAXA Repository (JAXA). 1 indexed citations
19.
Miyasaka, H., K. Kudela, Shingo Shimoda, et al.. (2003). Geomagnetic Cutoff Variation Observed with TIBET Neutron Monitor. ICRC. 6. 3609. 4 indexed citations
20.
Yoshii, H., T. Kaneko, F. Kakimoto, et al.. (1995). Composition and Energy Spectrum of Cosmic Rays above 30 TeV. International Cosmic Ray Conference. 2. 703.

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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