Estelle Kuhn

23 papers and 882 indexed citations i.

About

Estelle Kuhn is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Estelle Kuhn has authored 23 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Estelle Kuhn’s work include Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Estelle Kuhn is often cited by papers focused on Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Estelle Kuhn collaborates with scholars based in France, United States and Germany. Estelle Kuhn's co-authors include Marc Lavielle, Stéphanie Allassonnière, Christophe Forgez, Guy Friedrich, Patrick Lagonotte, Alain Trouvé, Guy Friedrich, Renaud Rincent, Hervé Monod and Charlotte Baey and has published in prestigious journals such as Journal of Power Sources, Genetics and Mathematics of Computation.

In The Last Decade

Co-authorship network of co-authors of Estelle Kuhn i

Fields of papers citing papers by Estelle Kuhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Estelle Kuhn

Since Specialization
Citations

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