Emmanuel de Bézenac

8 papers and 249 indexed citations i.

About

Emmanuel de Bézenac is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Atmospheric Science. According to data from OpenAlex, Emmanuel de Bézenac has authored 8 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Statistical and Nonlinear Physics and 3 papers in Atmospheric Science. Recurrent topics in Emmanuel de Bézenac’s work include Model Reduction and Neural Networks (5 papers), Meteorological Phenomena and Simulations (3 papers) and Computational Physics and Python Applications (2 papers). Emmanuel de Bézenac is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Meteorological Phenomena and Simulations (3 papers) and Computational Physics and Python Applications (2 papers). Emmanuel de Bézenac collaborates with scholars based in France, United States and Germany. Emmanuel de Bézenac's co-authors include Patrick Gallinari, Arthur Pajot, Patrick Gallinari, Nicolas Thome, Yuan Yin, Syama Sundar Rangapuram, Lorenzo Stella, Konstantinos Benidis, Michael Bohlke‐Schneider and Tim Januschowski and has published in prestigious journals such as Machine Learning, Journal of Statistical Mechanics Theory and Experiment and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Emmanuel de Bézenac i

Fields of papers citing papers by Emmanuel de Bézenac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel de Bézenac. 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 Emmanuel de Bézenac. The network helps show where Emmanuel de Bézenac may publish in the future.

Countries citing papers authored by Emmanuel de Bézenac

Since Specialization
Citations

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