Anirudha Majumdar

18 papers and 469 indexed citations i.

About

Anirudha Majumdar is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anirudha Majumdar has authored 18 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anirudha Majumdar’s work include Reinforcement Learning in Robotics (5 papers), Formal Methods in Verification (4 papers) and Robotic Path Planning Algorithms (4 papers). Anirudha Majumdar is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Formal Methods in Verification (4 papers) and Robotic Path Planning Algorithms (4 papers). Anirudha Majumdar collaborates with scholars based in United States, China and Germany. Anirudha Majumdar's co-authors include Russ Tedrake, Amir Ali Ahmadi, A. K. Choudhury, Brian Ichter, Tom Jenks, Andrew J. Barry, Ivo G. Ros, Andrew A. Biewener, Jia-Jun Wu and Dorsa Sadigh and has published in prestigious journals such as ACM Computing Surveys, The International Journal of Robotics Research and International Journal of Control.

In The Last Decade

Co-authorship network of co-authors of Anirudha Majumdar i

Fields of papers citing papers by Anirudha Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anirudha Majumdar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anirudha Majumdar. The network helps show where Anirudha Majumdar may publish in the future.

Countries citing papers authored by Anirudha Majumdar

Since Specialization
Citations

This map shows the geographic impact of Anirudha Majumdar's research. 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 Anirudha Majumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirudha Majumdar 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