S. Camalet

About

S. Camalet is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, S. Camalet has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atomic and Molecular Physics, and Optics, 17 papers in Artificial Intelligence and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in S. Camalet’s work include Quantum Information and Cryptography (17 papers), Quantum Mechanics and Applications (12 papers) and Advanced Thermodynamics and Statistical Mechanics (10 papers). S. Camalet is often cited by papers focused on Quantum Information and Cryptography (17 papers), Quantum Mechanics and Applications (12 papers) and Advanced Thermodynamics and Statistical Mechanics (10 papers). S. Camalet collaborates with scholars based in France, United States and China. S. Camalet's co-authors include Frank Jülicher, Jacques Prost, Thomas Duke, Sigmund Kohler, Peter Hänggi, J. Lehmann, R. Chitra, Karsten Kruse, Gert‐Ludwig Ingold and Josef Schriefl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Physical Review B.

In The Last Decade

Co-authorship network of co-authors of S. Camalet i

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Fields of papers citing papers by S. Camalet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by S. Camalet

Since Specialization

Citations

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