IEEE Robotics and Automation Letters

7.7k papers and 105.7k indexed citations i.

About

The 7.7k papers published in IEEE Robotics and Automation Letters in the last decades have received a total of 105.7k indexed citations. Papers published in IEEE Robotics and Automation Letters usually cover Biomedical Engineering (2.9k papers), Computer Vision and Pattern Recognition (2.8k papers) and Control and Systems Engineering (2.5k papers) specifically the topics of Robotics and Sensor-Based Localization (1.7k papers), Robot Manipulation and Learning (1.6k papers) and Soft Robotics and Applications (1.4k papers). The most active scholars publishing in IEEE Robotics and Automation Letters are Davide Scaramuzza, Marco Hutter, Vijay Kumar, Fu Zhang, Ming Liu, Daniela Rus, Roland Siegwart, Juan D. Tardós, Matthew Johnson‐Roberson and Junaed Sattar.

In The Last Decade

Fields of papers published in IEEE Robotics and Automation Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Robotics and Automation Letters. 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 Robotics and Automation Letters.

Countries where authors publish in IEEE Robotics and Automation Letters

Since Specialization
Citations

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