Masahiro Sekimoto
Masahiro Sekimoto publishes mostly in Control and Systems Engineering, Cognitive Neuroscience and Biomedical Engineering, on topics such as Robot Manipulation and Learning, Motor Control and Adaptation and Robotic Mechanisms and Dynamics.
- World rank
- #434,585 of 1,633,909 ranked researchers
- Rank in Japan
- #15,471 of 114,622
- Works
- 17
- Citations
- 68
- Citations per work
- 4.0
What does Masahiro Sekimoto research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Control and Systems Engineering54% of their works
- 2Cognitive Neuroscience23% of their works
- 3Biomedical Engineering15% of their works
- 4Mechanical Engineering8% of their works
Research topics
Which keywords describe Masahiro Sekimoto's research?
The keywords of their largest research topics: Grasping, Robot Learning, Kinematic Analysis, Motor Control, Robot Manipulators, Sensorimotor Learning, Archery and Bioinspired Robotics.
- Soft Robotics
- Modular Robots
- Bioinspired Robotics
- Sensorimotor Learning
- Motor Control
- Robot Learning
- Grasping
- Kinematic Analysis
- Robot Manipulators
- Archery
- Biomechanics
- Self-Reconfiguration
Size is their works in the topics tagged with each word, from their 6 largest topics. Each links to the topic it comes from most.
All 12 words, with their numbers
- Grasping41 topic
- Robot Learning41 topic
- Kinematic Analysis31 topic
- Motor Control31 topic
- Robot Manipulators31 topic
- Sensorimotor Learning31 topic
- Archery11 topic
- Bioinspired Robotics11 topic
- Biomechanics11 topic
- Modular Robots11 topic
- Self-Reconfiguration11 topic
- Soft Robotics11 topic
Where does Masahiro Sekimoto work?
Masahiro Sekimoto's main affiliation in the publication record is Ritsumeikan University, Japan.
How many publications and citations does Masahiro Sekimoto have?
Science Explorer counts 17 works and 68 citations for Masahiro Sekimoto, ranking #434,585 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.