Michèle Sébag

60 papers and 1.1k indexed citations i.

About

Michèle Sébag is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Michèle Sébag has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 13 papers in Computer Networks and Communications. Recurrent topics in Michèle Sébag’s work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (13 papers) and Machine Learning and Algorithms (9 papers). Michèle Sébag is often cited by papers focused on Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (13 papers) and Machine Learning and Algorithms (9 papers). Michèle Sébag collaborates with scholars based in France, United Kingdom and Spain. Michèle Sébag's co-authors include Marc Schoenauer, Álvaro Fialho, Francesco Bonchi, José L. Balcázar, Aristides Gionis, Ilya Loshchilov, Isabelle Guyon, Xiangliang Zhang, Olivier Goudet and David López-Paz and has published in prestigious journals such as Bioinformatics, Communications of the ACM and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Michèle Sébag i

Fields of papers citing papers by Michèle Sébag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michèle Sébag

Since Specialization
Citations

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