Pradeep Ravikumar

About

Pradeep Ravikumar is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Pradeep Ravikumar has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 3 papers in Computer Networks and Communications. Recurrent topics in Pradeep Ravikumar’s work include Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Bayesian Inference (4 papers). Pradeep Ravikumar is often cited by papers focused on Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Bayesian Inference (4 papers). Pradeep Ravikumar collaborates with scholars based in United States, South Korea and China. Pradeep Ravikumar's co-authors include Martin J. Wainwright, John Lafferty, Garvesh Raskutti, Bin Yu, Sahand Negahban, Bin Yu, Han Liu, Larry Wasserman, Eunho Yang and Genevera I. Allen and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Pradeep Ravikumar i

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Fields of papers citing papers by Pradeep Ravikumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pradeep Ravikumar

Since Specialization

Citations

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