Sanjoy Dasgupta

About

Sanjoy Dasgupta is a scholar working on Artificial Intelligence, Signal Processing and Statistics and Probability. According to data from OpenAlex, Sanjoy Dasgupta has authored 72 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 13 papers in Signal Processing and 11 papers in Statistics and Probability. Recurrent topics in Sanjoy Dasgupta’s work include Machine Learning and Algorithms (19 papers), Bayesian Methods and Mixture Models (13 papers) and Algorithms and Data Compression (12 papers). Sanjoy Dasgupta is often cited by papers focused on Machine Learning and Algorithms (19 papers), Bayesian Methods and Mixture Models (13 papers) and Algorithms and Data Compression (12 papers). Sanjoy Dasgupta collaborates with scholars based in United States, India and Singapore. Sanjoy Dasgupta's co-authors include Anupam Gupta, Yoav Freund, Daniel Hsu, Michael Collins, Robert E. Schapire, Philip M. Long, Leonard J. Schulman, Saket Navlakha, Charles F. Stevens and John Langford and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Sanjoy Dasgupta i

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Fields of papers citing papers by Sanjoy Dasgupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanjoy Dasgupta

Since Specialization

Citations

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