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).
Fields of papers published in IEEE Robotics and Automation Letters
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.
About IEEE Robotics and Automation Letters
The 8.5k papers published in IEEE Robotics and Automation Letters in the last decades have received a total of 149.1k indexed citations . Papers published in IEEE Robotics and Automation Letters usually cover Computer Vision and Pattern Recognition (3.0k papers), Control and Systems Engineering (2.7k papers), Aerospace Engineering (2.2k papers), Biomedical Engineering (3.0k papers) and Geology (321 papers) specifically the topics of Robotics and Sensor-Based Localization (1.7k papers), Robot Manipulation and Learning (1.7k papers), Soft Robotics and Applications (1.5k papers), Robotic Path Planning Algorithms (1.4k papers), Modular Robots and Swarm Intelligence (766 papers), Prosthetics and Rehabilitation Robotics (695 papers), Robotic Locomotion and Control (630 papers) and Advanced Vision and Imaging (603 papers). The most active scholars publishing in IEEE Robotics and Automation Letters are Davide Scaramuzza, Marco Hutter, Fu Zhang, Vijay Kumar, Ming Liu, Wei Xu, Daniela Rus, Cyrill Stachniss, Giuseppe Loianno and Juan D. Tardós.
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.