Marie‐Jeanne Lesot

39 papers and 395 indexed citations i.

About

Marie‐Jeanne Lesot is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Marie‐Jeanne Lesot has authored 39 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 11 papers in Signal Processing and 8 papers in Computational Theory and Mathematics. Recurrent topics in Marie‐Jeanne Lesot’s work include Rough Sets and Fuzzy Logic (8 papers), Data Management and Algorithms (8 papers) and Data Mining Algorithms and Applications (7 papers). Marie‐Jeanne Lesot is often cited by papers focused on Rough Sets and Fuzzy Logic (8 papers), Data Management and Algorithms (8 papers) and Data Mining Algorithms and Applications (7 papers). Marie‐Jeanne Lesot collaborates with scholars based in France, Germany and Poland. Marie‐Jeanne Lesot's co-authors include Bernadette Bouchon‐Meunier, Rudolf Kruse, Christian Döring, M. Rifqi, João Paulo Carvalho, Ronald R. Yager, Susana M. Vieira, Christophe Marsala, Uzay Kaymak and Anna Wilbik and has published in prestigious journals such as Astronomy and Astrophysics, Fuzzy Sets and Systems and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Marie‐Jeanne Lesot i

Fields of papers citing papers by Marie‐Jeanne Lesot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Jeanne Lesot. 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 Marie‐Jeanne Lesot. The network helps show where Marie‐Jeanne Lesot may publish in the future.

Countries citing papers authored by Marie‐Jeanne Lesot

Since Specialization
Citations

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