Rémi Gilleron

12 papers and 240 indexed citations i.

About

Rémi Gilleron is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Rémi Gilleron has authored 12 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Information Systems. Recurrent topics in Rémi Gilleron’s work include Machine Learning and Algorithms (5 papers), Web Data Mining and Analysis (4 papers) and Logic, programming, and type systems (3 papers). Rémi Gilleron is often cited by papers focused on Machine Learning and Algorithms (5 papers), Web Data Mining and Analysis (4 papers) and Logic, programming, and type systems (3 papers). Rémi Gilleron collaborates with scholars based in France, Hungary and India. Rémi Gilleron's co-authors include François Denis, Sándor Vágvölgyi, Marc Tommasi, Lingbo Kong, Sophie Tison, Aurélien Lemay, Joachim Niehren, Max Dauchet, Pierre Senellart and Boris Chidlovskii and has published in prestigious journals such as Machine Learning, Journal of Machine Learning Research and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Rémi Gilleron i

Fields of papers citing papers by Rémi Gilleron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rémi Gilleron

Since Specialization
Citations

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