Sebástien Vérel

217 total papers · 2.1k total citations
50 papers, 468 citations indexed

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 50 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 36 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 (20 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 (20 papers). Sebástien Vérel collaborates with scholars based in France, Japan and United Kingdom. Sebástien Vérel's co-authors include Arnaud Liefooghe, Gabriela Ochoa, Marco Tomassini, Fabien Teytaud, Fabio Daolio, Marco Tomassini, Laëtitia Jourdan, Clarisse Dhaenens, Kiyoshi Tanaka and Hernán Aguirre and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Protein Science.

In The Last Decade

Sebástien Vérel

47 papers receiving 457 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sebástien Vérel	287	228	59	39	34	50	468
Monte Lunacek	215 0.7×	140 0.6×	18 0.3×	19 0.5×	22 0.6×	33	549
Jongho Nang	243 0.8×	95 0.4×	48 0.8×	12 0.3×	13 0.4×	36	458
Steven Gustafson	386 1.3×	90 0.4×	39 0.7×	29 0.7×	30 0.9×	21	474
Martin S. Krejca	338 1.2×	206 0.9×	15 0.3×	24 0.6×	19 0.6×	45	430
V. Scott Gordon	268 0.9×	123 0.5×	40 0.7×	5 0.1×	22 0.6×	27	471
Arturo Hernández Aguirre	377 1.3×	257 1.1×	47 0.8×	12 0.3×	28 0.8×	29	531
K. Vijayan	132 0.5×	161 0.7×	39 0.7×	11 0.3×	119 3.5×	36	495
Shouheng Tuo	164 0.6×	77 0.3×	13 0.2×	92 2.4×	20 0.6×	44	490
Pieter Adriaans	238 0.8×	80 0.4×	13 0.2×	16 0.4×	42 1.2×	41	519
Jörg Lässig	227 0.8×	121 0.5×	52 0.9×	10 0.3×	21 0.6×	44	412

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).

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.

Co-authorship network of co-authors of Sebástien Vérel

This figure shows the co-authorship network connecting the top 25 collaborators of Sebástien Vérel. A scholar is included among the top collaborators of Sebástien Vérel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebástien Vérel. Sebástien Vérel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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