Gen Endo

186 papers and 2.2k indexed citations i.

About

Gen Endo is a scholar working on Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Gen Endo has authored 186 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Biomedical Engineering, 72 papers in Control and Systems Engineering and 61 papers in Mechanical Engineering. Recurrent topics in Gen Endo’s work include Soft Robotics and Applications (65 papers), Robotic Locomotion and Control (65 papers) and Prosthetics and Rehabilitation Robotics (43 papers). Gen Endo is often cited by papers focused on Soft Robotics and Applications (65 papers), Robotic Locomotion and Control (65 papers) and Prosthetics and Rehabilitation Robotics (43 papers). Gen Endo collaborates with scholars based in Japan, United States and Cambodia. Gen Endo's co-authors include Koichi Suzumori, Hiroyuki Nabae, Jun Morimoto, Gordon Cheng, Shigeo Hirose, Jun Nakanishi, S. Hirose, Shunichi Kurumaya, Mitsuo Kawato and Stefan Schaal and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Sensors and Actuators A Physical.

In The Last Decade

Co-authorship network of co-authors of Gen Endo i

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.

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).

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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2025