Comptes Rendus Mathématique

4.4k papers and 37.6k indexed citations i.

About

The 4.4k papers published in Comptes Rendus Mathématique in the last decades have received a total of 37.6k indexed citations. Papers published in Comptes Rendus Mathématique usually cover Mathematical Physics (1.8k papers), Applied Mathematics (1.7k papers) and Geometry and Topology (1.5k papers) specifically the topics of Advanced Mathematical Modeling in Engineering (771 papers), Algebraic Geometry and Number Theory (568 papers) and Nonlinear Partial Differential Equations (470 papers). The most active scholars publishing in Comptes Rendus Mathématique are Emmanuel J. Candès, Pierre‐Louis Lions, Jean‐Michel Lasry, Anthony T. Patera, Yvon Maday, Erik Burman, Ngoc Cuong Nguyen, Maxime Barrault, Christophe Le Potier and Jean Bourgain.

In The Last Decade

Fields of papers published in Comptes Rendus Mathématique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Comptes Rendus Mathématique. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Comptes Rendus Mathématique.

Countries where authors publish in Comptes Rendus Mathématique

Since Specialization
Citations

This map shows the geographic impact of research published in Comptes Rendus Mathématique. 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 papers published in Comptes Rendus Mathématique with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Comptes Rendus Mathématique 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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