Philippe Rigollet

50 papers and 1.3k indexed citations i.

About

Philippe Rigollet is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Philippe Rigollet has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 13 papers in Management Science and Operations Research. Recurrent topics in Philippe Rigollet’s work include Statistical Methods and Inference (19 papers), Markov Chains and Monte Carlo Methods (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Philippe Rigollet is often cited by papers focused on Statistical Methods and Inference (19 papers), Markov Chains and Monte Carlo Methods (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Philippe Rigollet collaborates with scholars based in United States, France and Singapore. Philippe Rigollet's co-authors include Quentin Berthet, Alexandre B. Tsybakov, Vianney Perchet, Jonathan Weed, Vidya Subramanian, Jian Shu, Anatoli Juditsky, Jenny Chen, Justin Brumbaugh and Geoffrey Schiebinger and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Philippe Rigollet i

Fields of papers citing papers by Philippe Rigollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philippe Rigollet

Since Specialization
Citations

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