Subhodeep Moitra

About

Subhodeep Moitra is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Subhodeep Moitra has authored 6 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Molecular Biology. Recurrent topics in Subhodeep Moitra’s work include Reinforcement Learning in Robotics (3 papers), Advanced Bandit Algorithms Research (2 papers) and Anomaly Detection Techniques and Applications (1 paper). Subhodeep Moitra is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Advanced Bandit Algorithms Research (2 papers) and Anomaly Detection Techniques and Applications (1 paper). Subhodeep Moitra collaborates with scholars based in United States, Sweden and United Kingdom. Subhodeep Moitra's co-authors include Marc G. Bellemare, Salvatore Candido, Marlos C. Machado, Sameera Ponda, Pablo Samuel Castro, Jun Gong, Ziyu Wang, Hugo Larochelle, Sarath Chandar and Emilio Parisotto and has published in prestigious journals such as Nature, Artificial Intelligence and Apollo (University of Cambridge).

In The Last Decade

Co-authorship network of co-authors of Subhodeep Moitra i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Subhodeep Moitra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Subhodeep Moitra

Since Specialization

Citations

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