Arthur Pajot

5 papers and 172 indexed citations i.

About

Arthur Pajot is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Arthur Pajot has authored 5 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 3 papers in Artificial Intelligence and 2 papers in Atmospheric Science. Recurrent topics in Arthur Pajot’s work include Model Reduction and Neural Networks (4 papers), Computational Physics and Python Applications (2 papers) and Advanced Techniques in Reservoir Management (2 papers). Arthur Pajot is often cited by papers focused on Model Reduction and Neural Networks (4 papers), Computational Physics and Python Applications (2 papers) and Advanced Techniques in Reservoir Management (2 papers). Arthur Pajot collaborates with scholars based in France. Arthur Pajot's co-authors include Emmanuel de Bézenac, Patrick Gallinari and Patrick Gallinari and has published in prestigious journals such as Machine Learning, Journal of Statistical Mechanics Theory and Experiment and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Arthur Pajot i

Fields of papers citing papers by Arthur Pajot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arthur Pajot

Since Specialization
Citations

This map shows the geographic impact of Arthur Pajot'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 Arthur Pajot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Pajot 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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2025