Masahiro Sekimoto

40 papers receiving 417 citations

Peers

Masahiro Sekimoto
Comparison fields: 5 of 24
  • Control and Systems Engineering 344
  • Biomedical Engineering 255
  • Cognitive Neuroscience 132
  • Mechanical Engineering 125
  • Physical Therapy, Sports Therapy and Rehabilitation 28
Replace R.Q. van der Linde with:
R.Q. van der Linde Netherlands
Waël Bachta France
Mitsunori Uemura Japan
Toru TSUMUGIWA Japan
Morio Yoshida Japan
João Ramos United States
Kevin B. Fite United States
Michiel Plooij Netherlands
Kazuhito HYODO Japan
Ioannis Sarakoglou Italy
Masahiro Sekimoto relative to R.Q. van der Linde Netherlands R.Q. van der Linde's profile →
Citations per field
00.5×1.5×1.9×
R.Q. van der Linde · 1×
Citations per year

Countries citing papers authored by Masahiro Sekimoto

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Sekimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Sekimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Sekimoto. A scholar is included among the top collaborators of Masahiro Sekimoto 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 Masahiro Sekimoto. Masahiro Sekimoto 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
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Observation of human multi-joint arm movement from the viewpoint of a Riemannian distance
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Posture control of a multi-joint robot based on composition of feedforward joint-torques acquired by iterative learning
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11 15
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About Masahiro Sekimoto

Masahiro Sekimoto is a scholar working on Control and Systems Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Cognitive Neuroscience, having authored 43 papers that have together received 438 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (26 papers), Robotic Mechanisms and Dynamics (23 papers) and Motor Control and Adaptation (15 papers). The work is most often cited by research in Control and Systems Engineering (344 citations), Cognitive Neuroscience (132 citations) and Physical Therapy, Sports Therapy and Rehabilitation (28 citations). Masahiro Sekimoto has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Suguru Arimoto, S. Arimoto, Ryuta Ozawa, Kenji Tahara, Sadao Kawamura, Ji‐Hun Bae, Morio Yoshida, Zhiwei Luo, Zhiwei Luo and Takahiro Wada. Their work appears in journals such as Advanced Robotics, Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering and Applied Bionics and Biomechanics.

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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