IEEE Transactions on Medical Robotics and Bionics

536 papers and 3.9k indexed citations i.

About

The 536 papers published in IEEE Transactions on Medical Robotics and Bionics in the last decades have received a total of 3.9k indexed citations. Papers published in IEEE Transactions on Medical Robotics and Bionics usually cover Biomedical Engineering (402 papers), Surgery (141 papers) and Computer Vision and Pattern Recognition (76 papers) specifically the topics of Soft Robotics and Applications (184 papers), Muscle activation and electromyography studies (152 papers) and Prosthetics and Rehabilitation Robotics (122 papers). The most active scholars publishing in IEEE Transactions on Medical Robotics and Bionics are Tamás Haidegger, Inseung Kang, Aaron J. Young, Shuxin Wang, Chaoyang Shi, Max Q.‐H. Meng, Yangxin Xu, Keyu Li, Jaydev P. Desai and Cesare Stefanini.

In The Last Decade

Fields of papers published in IEEE Transactions on Medical Robotics and Bionics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Medical Robotics and Bionics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in IEEE Transactions on Medical Robotics and Bionics.

Countries where authors publish in IEEE Transactions on Medical Robotics and Bionics

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Medical Robotics and Bionics. 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 papers published in IEEE Transactions on Medical Robotics and Bionics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Transactions on Medical Robotics and Bionics 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