Persi Diaconis

242 papers and 14.7k indexed citations i.

About

Persi Diaconis is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Persi Diaconis has authored 242 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Statistics and Probability, 87 papers in Artificial Intelligence and 80 papers in Mathematical Physics. Recurrent topics in Persi Diaconis’s work include Markov Chains and Monte Carlo Methods (62 papers), Stochastic processes and statistical mechanics (57 papers) and Bayesian Methods and Mixture Models (54 papers). Persi Diaconis is often cited by papers focused on Markov Chains and Monte Carlo Methods (62 papers), Stochastic processes and statistical mechanics (57 papers) and Bayesian Methods and Mixture Models (54 papers). Persi Diaconis collaborates with scholars based in United States, France and United Kingdom. Persi Diaconis's co-authors include David A. Freedman, Laurent Saloff‐Coste, Mehrdad Shahshahani, David Aldous, Bradley Efron, Darcy A. Freedman, Ron Graham, Daniel W. Stroock, Sourav Chatterjee and Susan Holmes and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Persi Diaconis i

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Fields of papers citing papers by Persi Diaconis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Persi Diaconis

Since Specialization

Citations

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