Sebástien Vérel

52 papers and 512 indexed citations i.

About

Sebástien Vérel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Sebástien Vérel has authored 52 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 31 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in Sebástien Vérel’s work include Metaheuristic Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (27 papers) and Evolutionary Algorithms and Applications (22 papers). Sebástien Vérel is often cited by papers focused on Metaheuristic Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (27 papers) and Evolutionary Algorithms and Applications (22 papers). Sebástien Vérel collaborates with scholars based in France, Japan and United Kingdom. Sebástien Vérel's co-authors include Arnaud Liefooghe, Marco Tomassini, Gabriela Ochoa, Philippe Collard, Leonardo Vanneschi, Manuel Clergue, Fabio Daolio, Fabien Teytaud, Marco Tomassini and Laëtitia Jourdan and has published in prestigious journals such as European Journal of Operational Research, Protein Science and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Co-authorship network of co-authors of Sebástien Vérel i

Fields of papers citing papers by Sebástien Vérel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebástien Vérel

Since Specialization
Citations

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