Aurélien Garivier

30 papers and 505 indexed citations i.

About

Aurélien Garivier is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Aurélien Garivier has authored 30 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 9 papers in Statistics and Probability. Recurrent topics in Aurélien Garivier’s work include Advanced Bandit Algorithms Research (13 papers), Machine Learning and Algorithms (10 papers) and Algorithms and Data Compression (6 papers). Aurélien Garivier is often cited by papers focused on Advanced Bandit Algorithms Research (13 papers), Machine Learning and Algorithms (10 papers) and Algorithms and Data Compression (6 papers). Aurélien Garivier collaborates with scholars based in France, Brazil and Austria. Aurélien Garivier's co-authors include Olivier Cappé, Sarah Filippi, Gilles Stoltz, Csaba Szepesvári, Éric Moulines, Jimmy Olsson, Randal Douc, Odalric-Ambrym Maillard, Rémi Munos and Pierre Ménard and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Aurélien Garivier i

Fields of papers citing papers by Aurélien Garivier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurélien Garivier

Since Specialization
Citations

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