Frontiers in Neurorobotics

1.2k papers and 16.4k indexed citations i.

About

The 1.2k papers published in Frontiers in Neurorobotics in the last decades have received a total of 16.4k indexed citations. Papers published in Frontiers in Neurorobotics usually cover Biomedical Engineering (412 papers), Cognitive Neuroscience (402 papers) and Computer Vision and Pattern Recognition (287 papers) specifically the topics of Muscle activation and electromyography studies (256 papers), EEG and Brain-Computer Interfaces (182 papers) and Prosthetics and Rehabilitation Robotics (145 papers). The most active scholars publishing in Frontiers in Neurorobotics are Alois Knoll, Keum‐Shik Hong, Muhammad Jawad Khan, Pierre‐Yves Oudeyer, Frédé́ric Kaplan, Gerald E. Loeb, Manfredo Atzori, Henning Müller, Jeremy A. Fishel and Matteo Cognolato.

In The Last Decade

Fields of papers published in Frontiers in Neurorobotics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Frontiers in Neurorobotics. 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 Frontiers in Neurorobotics.

Countries where authors publish in Frontiers in Neurorobotics

Since Specialization
Citations

This map shows the geographic impact of research published in Frontiers in Neurorobotics. 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 Frontiers in Neurorobotics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frontiers in Neurorobotics 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