Gilles Audemard

6 papers and 53 indexed citations i.

About

Gilles Audemard is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Gilles Audemard has authored 6 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Gilles Audemard’s work include Explainable Artificial Intelligence (XAI) (3 papers), Formal Methods in Verification (3 papers) and Bayesian Modeling and Causal Inference (3 papers). Gilles Audemard is often cited by papers focused on Explainable Artificial Intelligence (XAI) (3 papers), Formal Methods in Verification (3 papers) and Bayesian Modeling and Causal Inference (3 papers). Gilles Audemard collaborates with scholars based in France. Gilles Audemard's co-authors include Laurent Simon, Jean-Marie Lagniez, Pierre Marquis, Frédéric Koriche, Belaïd Benhamou, Cédric Piette and Saïd Jabbour and has published in prestigious journals such as Data & Knowledge Engineering, Journal of Automated Reasoning and International Journal of Artificial Intelligence Tools.

In The Last Decade

Co-authorship network of co-authors of Gilles Audemard i

Fields of papers citing papers by Gilles Audemard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gilles Audemard

Since Specialization
Citations

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