Frontiers in Robotics and AI

1.8k papers and 22.0k indexed citations i.

About

The 1.8k papers published in Frontiers in Robotics and AI in the last decades have received a total of 22.0k indexed citations. Papers published in Frontiers in Robotics and AI usually cover Biomedical Engineering (569 papers), Artificial Intelligence (360 papers) and Control and Systems Engineering (355 papers) specifically the topics of Soft Robotics and Applications (270 papers), Robot Manipulation and Learning (242 papers) and Social Robot Interaction and HRI (228 papers). The most active scholars publishing in Frontiers in Robotics and AI are Mel Slater, María V. Sánchez-Vives, Joseph T. Lizier, Mina C. Johnson‐Glenberg, Mar González-Franco, Jeremy N. Bailenson, Thomas Metzinger, Greg Welch, Tabitha C. Peck and Jeroen van den Hoven.

In The Last Decade

Fields of papers published in Frontiers in Robotics and AI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Frontiers in Robotics and AI. 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 Robotics and AI.

Countries where authors publish in Frontiers in Robotics and AI

Since Specialization
Citations

This map shows the geographic impact of research published in Frontiers in Robotics and AI. 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 Robotics and AI 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 Robotics and AI 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