Raphaël Cerf

83 papers and 898 indexed citations i.

About

Raphaël Cerf is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics. According to data from OpenAlex, Raphaël Cerf has authored 83 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mathematical Physics, 21 papers in Statistics and Probability and 19 papers in Condensed Matter Physics. Recurrent topics in Raphaël Cerf’s work include Stochastic processes and statistical mechanics (30 papers), Markov Chains and Monte Carlo Methods (21 papers) and Theoretical and Computational Physics (19 papers). Raphaël Cerf is often cited by papers focused on Stochastic processes and statistical mechanics (30 papers), Markov Chains and Monte Carlo Methods (21 papers) and Theoretical and Computational Physics (19 papers). Raphaël Cerf collaborates with scholars based in France, Italy and Burundi. Raphaël Cerf's co-authors include Francesco Manzo, Ágoston Pisztora, Emilio N. M. Cirillo, Gérard Ben Arous, Olivier Catoni, Laurent Alonso, B. Michels, H. Schwander, Carlo Mariconda and Jean‐François Witz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Biophysical Journal.

In The Last Decade

Co-authorship network of co-authors of Raphaël Cerf i

Fields of papers citing papers by Raphaël Cerf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raphaël Cerf

Since Specialization
Citations

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