IEEE Transactions on Robotics

3.0k papers and 145.7k indexed citations i.

About

The 3.0k papers published in IEEE Transactions on Robotics in the last decades have received a total of 145.7k indexed citations. Papers published in IEEE Transactions on Robotics usually cover Control and Systems Engineering (1.4k papers), Biomedical Engineering (1.2k papers) and Computer Vision and Pattern Recognition (960 papers) specifically the topics of Robot Manipulation and Learning (686 papers), Robotic Path Planning Algorithms (612 papers) and Soft Robotics and Applications (559 papers). The most active scholars publishing in IEEE Transactions on Robotics are Juan D. Tardós, Shaojie Shen, Wolfram Burgard, J. M. M. Montiel, D. Caleb Rucker, Tong Qin, Robert J. Wood, Peiliang Li, Davide Scaramuzza and Cyrill Stachniss.

In The Last Decade

Fields of papers published in IEEE Transactions on Robotics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Robotics. 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 Robotics.

Countries where authors publish in IEEE Transactions on Robotics

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Robotics. 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 Robotics 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 Robotics 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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