Eric Mazumdar

18 papers and 139 indexed citations i.

About

Eric Mazumdar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Eric Mazumdar has authored 18 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 7 papers in Computational Theory and Mathematics. Recurrent topics in Eric Mazumdar’s work include Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (5 papers) and Adaptive Dynamic Programming Control (4 papers). Eric Mazumdar is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (5 papers) and Adaptive Dynamic Programming Control (4 papers). Eric Mazumdar collaborates with scholars based in United States. Eric Mazumdar's co-authors include Lillian J. Ratliff, Shankar Sastry, Gabriel A. Kwong, Seyedeh M. Zekavat, Sangeeta N. Bhatia, Jaideep S. Dudani, S. Shankar Sastry, Baosen Zhang, Claire J. Tomlin and David Fridovich-Keil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Automatic Control and CaltechAUTHORS (California Institute of Technology).

In The Last Decade

Co-authorship network of co-authors of Eric Mazumdar i

Fields of papers citing papers by Eric Mazumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Mazumdar. 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 Eric Mazumdar. The network helps show where Eric Mazumdar may publish in the future.

Countries citing papers authored by Eric Mazumdar

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025