Jean-Marie Lagniez

19 papers and 60 indexed citations i.

About

Jean-Marie Lagniez is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Jean-Marie Lagniez has authored 19 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 6 papers in Computer Networks and Communications. Recurrent topics in Jean-Marie Lagniez’s work include Bayesian Modeling and Causal Inference (8 papers), Logic, Reasoning, and Knowledge (7 papers) and Formal Methods in Verification (6 papers). Jean-Marie Lagniez is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Logic, Reasoning, and Knowledge (7 papers) and Formal Methods in Verification (6 papers). Jean-Marie Lagniez collaborates with scholars based in France, Japan and The Netherlands. Jean-Marie Lagniez's co-authors include Pierre Marquis, Éric Grégoire, Bertrand Mazure, Gilles Audemard, Frédéric Koriche, Philippe Besnard, Daniel Le Berre, Tiago de Lima, Lakhdar Saïs and Katsumi Inoue and has published in prestigious journals such as Artificial Intelligence, Applied Intelligence and Data & Knowledge Engineering.

In The Last Decade

Co-authorship network of co-authors of Jean-Marie Lagniez i

Fields of papers citing papers by Jean-Marie Lagniez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Marie Lagniez. 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 Jean-Marie Lagniez. The network helps show where Jean-Marie Lagniez may publish in the future.

Countries citing papers authored by Jean-Marie Lagniez

Since Specialization
Citations

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