Sham M. Kakade

103 papers and 6.6k indexed citations i.

About

Sham M. Kakade is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Mechanics. According to data from OpenAlex, Sham M. Kakade has authored 103 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 28 papers in Management Science and Operations Research and 20 papers in Computational Mechanics. Recurrent topics in Sham M. Kakade’s work include Machine Learning and Algorithms (28 papers), Advanced Bandit Algorithms Research (25 papers) and Sparse and Compressive Sensing Techniques (20 papers). Sham M. Kakade is often cited by papers focused on Machine Learning and Algorithms (28 papers), Advanced Bandit Algorithms Research (25 papers) and Sparse and Compressive Sensing Techniques (20 papers). Sham M. Kakade collaborates with scholars based in United States, United Kingdom and Israel. Sham M. Kakade's co-authors include Peter Dayan, Daniel Hsu, John Langford, Matthias Seeger, Niranjan Srinivas, Andreas Krause, Nathaniel D. Daw, Karthik Sridharan, Alina Beygelzimer and Rong Ge and has published in prestigious journals such as Nature Neuroscience, Psychological Review and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Sham M. Kakade i

Fields of papers citing papers by Sham M. Kakade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sham M. Kakade. 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 Sham M. Kakade. The network helps show where Sham M. Kakade may publish in the future.

Countries citing papers authored by Sham M. Kakade

Since Specialization
Citations

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