IEEE Robotics & Automation Magazine

1.3k papers and 46.0k indexed citations i.

About

The 1.3k papers published in IEEE Robotics & Automation Magazine in the last decades have received a total of 46.0k indexed citations. Papers published in IEEE Robotics & Automation Magazine usually cover Control and Systems Engineering (451 papers), Biomedical Engineering (335 papers) and Computer Vision and Pattern Recognition (320 papers) specifically the topics of Robotic Path Planning Algorithms (227 papers), Robot Manipulation and Learning (223 papers) and Modular Robots and Swarm Intelligence (198 papers). The most active scholars publishing in IEEE Robotics & Automation Magazine are Hugh Durrant‐Whyte, T. Bailey, François Chaumette, Seth Hutchinson, Peter Corke, Sebastian Thrun, Wolfram Burgard, D. Fox, Friedrich Fraundorfer and Davide Scaramuzza.

In The Last Decade

Fields of papers published in IEEE Robotics & Automation Magazine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Robotics & Automation Magazine. 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 & Automation Magazine.

Countries where authors publish in IEEE Robotics & Automation Magazine

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Robotics & Automation Magazine. 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 & Automation Magazine 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 & Automation Magazine 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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