Garvesh Raskutti

About

Garvesh Raskutti is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Garvesh Raskutti has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 12 papers in Computational Mechanics. Recurrent topics in Garvesh Raskutti’s work include Statistical Methods and Inference (20 papers), Sparse and Compressive Sensing Techniques (12 papers) and Bayesian Modeling and Causal Inference (6 papers). Garvesh Raskutti is often cited by papers focused on Statistical Methods and Inference (20 papers), Sparse and Compressive Sensing Techniques (12 papers) and Bayesian Modeling and Causal Inference (6 papers). Garvesh Raskutti collaborates with scholars based in United States, Australia and Hong Kong. Garvesh Raskutti's co-authors include Martin J. Wainwright, Bin Yu, Pradeep Ravikumar, Bin Yu, Caroline Uhler, Ming Yuan, Rebecca Willett, Kerry Hinton, Peter M. Farrell and Rodney S. Tucker and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Garvesh Raskutti i

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Fields of papers citing papers by Garvesh Raskutti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Garvesh Raskutti

Since Specialization

Citations

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