Patricia Reynaud-Bouret

35 papers and 1.0k indexed citations i.

About

Patricia Reynaud-Bouret is a scholar working on Statistics and Probability, Applied Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Patricia Reynaud-Bouret has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 11 papers in Applied Mathematics and 10 papers in Cognitive Neuroscience. Recurrent topics in Patricia Reynaud-Bouret’s work include Statistical Methods and Inference (11 papers), Neural dynamics and brain function (10 papers) and Point processes and geometric inequalities (10 papers). Patricia Reynaud-Bouret is often cited by papers focused on Statistical Methods and Inference (11 papers), Neural dynamics and brain function (10 papers) and Point processes and geometric inequalities (10 papers). Patricia Reynaud-Bouret collaborates with scholars based in France, United States and Burundi. Patricia Reynaud-Bouret's co-authors include Vincent Rivoirard, Christine Tuleau-Malot, Franck Grammont, Sophie Schbath, Niels Richard Hansen, Marie Doumic, Julien Chevallier, María J. Cáceres, Béatrice Laurent and Marc Hoffmann and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Information Theory and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Patricia Reynaud-Bouret i

Fields of papers citing papers by Patricia Reynaud-Bouret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia Reynaud-Bouret. 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 Patricia Reynaud-Bouret. The network helps show where Patricia Reynaud-Bouret may publish in the future.

Countries citing papers authored by Patricia Reynaud-Bouret

Since Specialization
Citations

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