François Bavaud

26 papers and 274 indexed citations i.

About

François Bavaud is a scholar working on Economics and Econometrics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, François Bavaud has authored 26 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 6 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in François Bavaud’s work include Spatial and Panel Data Analysis (5 papers), Regional Economics and Spatial Analysis (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). François Bavaud is often cited by papers focused on Spatial and Panel Data Analysis (5 papers), Regional Economics and Spatial Analysis (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). François Bavaud collaborates with scholars based in Switzerland, United Kingdom and France. François Bavaud's co-authors include Christian Kaiser, Masoumeh Kordi, Yves Le Fur, Aris Xanthos, Marie Delaplace, Leïla Kebir, Olivier Galland and Jean‐Pierre Müller and has published in prestigious journals such as Reviews of Modern Physics, Communications in Mathematical Physics and Food Research International.

In The Last Decade

Co-authorship network of co-authors of François Bavaud i

Fields of papers citing papers by François Bavaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by François Bavaud

Since Specialization
Citations

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