Alekh Agarwal

60 papers and 2.2k indexed citations i.

About

Alekh Agarwal is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Mechanics. According to data from OpenAlex, Alekh Agarwal has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 22 papers in Management Science and Operations Research and 14 papers in Computational Mechanics. Recurrent topics in Alekh Agarwal’s work include Machine Learning and Algorithms (22 papers), Advanced Bandit Algorithms Research (21 papers) and Reinforcement Learning in Robotics (16 papers). Alekh Agarwal is often cited by papers focused on Machine Learning and Algorithms (22 papers), Advanced Bandit Algorithms Research (21 papers) and Reinforcement Learning in Robotics (16 papers). Alekh Agarwal collaborates with scholars based in United States, United Kingdom and India. Alekh Agarwal's co-authors include Martin J. Wainwright, John C. Duchi, Sahand Negahban, Peter L. Bartlett, Pradeep Ravikumar, John Langford, Sham M. Kakade, Ofer Dekel, Lin Xiao and Daniel Hsu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Alekh Agarwal i

Fields of papers citing papers by Alekh Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alekh Agarwal

Since Specialization
Citations

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