Gen Endo

4.0k citations
219 papers · 2.9k · h-index 28

Impact in

    • Robotic Locomotion and Control
    • Soft Robotics and Applications
    • Prosthetics and Rehabilitation Robotics
    • Advanced Sensor and Energy Harvesting Materials
    • Muscle activation and electromyography studies
    • Robot Manipulation and Learning
    • Control and Dynamics of Mobile Robots

Papers in

Gen Endo

184 papers receiving 2.7k citations

Peers

Gen Endo
Comparison fields: 5 of 90
  • Biomedical Engineering 2.3k
  • Control and Systems Engineering 1.2k
  • Mechanical Engineering 810
  • Computer Vision and Pattern Recognition 284
  • Condensed Matter Physics 124
Replace Hai‐Jun Su with:
Hai‐Jun Su United States
Patrick M. Wensing United States
Kok-Meng Lee United States
Shinichi Hirai Japan
Roy Featherstone Italy
Koichi Suzumori Japan
Xilun Ding China
Christine Chevallereau France
Gianluca Palli Italy
Pierre Renaud France
Gen Endo relative to Hai‐Jun Su United States Hai‐Jun Su's profile →
Citations per field
00.5×1.6×
Hai‐Jun Su · 1×
Citations per year

Countries citing papers authored by Gen Endo

Since Specialization
Citations

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

Fields of papers citing papers by Gen Endo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gen Endo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gen Endo Line = papers co-authored together Gen Endo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 219 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004285
2 2008157
3 2017111
4 200698
5 200881
6 200478
7 200272
8 201072
9 201670
10 200661
11 201960
12 200957
13 201954
14 202048
15 202247
16 201744
17 200644
18 200343
19 201738
20 201836

About Gen Endo

Gen Endo is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 219 papers that have together received 2.9k indexed citations. Recurring topics across this work include Soft Robotics and Applications (78 papers), Robotic Locomotion and Control (77 papers), Prosthetics and Rehabilitation Robotics (47 papers), Robot Manipulation and Learning (41 papers), Modular Robots and Swarm Intelligence (34 papers), Robotic Mechanisms and Dynamics (25 papers), Advanced Materials and Mechanics (18 papers) and Soil Mechanics and Vehicle Dynamics (15 papers). The work is most often cited by research in Biomedical Engineering (2.3k citations), Control and Systems Engineering (1.2k citations), Mechanical Engineering (810 citations), Computer Vision and Pattern Recognition (284 citations) and Condensed Matter Physics (124 citations). Gen Endo has collaborated with scholars based in Japan, United States and Cambodia. Frequent co-authors include Koichi Suzumori, Hiroyuki Nabae, Gordon Cheng, Jun Morimoto, Shigeo Hirose, Jun Nakanishi, S. Hirose, Shunichi Kurumaya, Mitsuo Kawato and Stefan Schaal. Their work appears in journals such as IEEE Robotics and Automation Letters, Advanced Robotics, Sensors and Actuators A Physical, Soft Robotics and Mechatronics.

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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