Pierre Pudlo

27 papers and 2.2k indexed citations i.

About

Pierre Pudlo is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Pierre Pudlo has authored 27 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 18 papers in Statistics and Probability and 8 papers in Mathematical Physics. Recurrent topics in Pierre Pudlo’s work include Markov Chains and Monte Carlo Methods (16 papers), Bayesian Methods and Mixture Models (15 papers) and Stochastic processes and statistical mechanics (7 papers). Pierre Pudlo is often cited by papers focused on Markov Chains and Monte Carlo Methods (16 papers), Bayesian Methods and Mixture Models (15 papers) and Stochastic processes and statistical mechanics (7 papers). Pierre Pudlo collaborates with scholars based in France, United Kingdom and United States. Pierre Pudlo's co-authors include Jean‐Michel Marin, Arnaud Estoup, Christian P. Robert, Mathieu Gautier, Jean‐Marie Cornuet, Raphaël Leblois, Robin Ryder, Alexandre Dehne-Garcia, Carole Kerdelhué and Julien Foucaud and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Astronomy and Astrophysics.

In The Last Decade

Co-authorship network of co-authors of Pierre Pudlo i

Fields of papers citing papers by Pierre Pudlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pierre Pudlo

Since Specialization
Citations

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