Guillaume Chauvet

38 papers and 248 indexed citations i.

About

Guillaume Chauvet is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Guillaume Chauvet has authored 38 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 7 papers in Economics and Econometrics. Recurrent topics in Guillaume Chauvet’s work include Statistical Methods and Bayesian Inference (21 papers), Survey Sampling and Estimation Techniques (13 papers) and Statistical Methods and Inference (11 papers). Guillaume Chauvet is often cited by papers focused on Statistical Methods and Bayesian Inference (21 papers), Survey Sampling and Estimation Techniques (13 papers) and Statistical Methods and Inference (11 papers). Guillaume Chauvet collaborates with scholars based in France, Canada and Romania. Guillaume Chauvet's co-authors include David Haziza, Yves Tillé, F. Jay Breidt, Jean‐Claude Deville, Nathalie Costet, Jean‐François Viel, Luc Multigner, David Hajage, Florence Tubach and Yann De Rycke and has published in prestigious journals such as Journal of the American Statistical Association, Environment International and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Guillaume Chauvet i

Fields of papers citing papers by Guillaume Chauvet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guillaume Chauvet

Since Specialization
Citations

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