Gaël Raoul

27 total papers · 668 total citations
12 papers, 364 citations indexed

About

Gaël Raoul is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Gaël Raoul has authored 12 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Modeling and Simulation, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Genetics. Recurrent topics in Gaël Raoul's work include Mathematical Biology Tumor Growth (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Evolution and Genetic Dynamics (4 papers). Gaël Raoul is often cited by papers focused on Mathematical Biology Tumor Growth (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Evolution and Genetic Dynamics (4 papers). Gaël Raoul collaborates with scholars based in France, United Kingdom and China. Gaël Raoul's co-authors include Klemens Fellner, Matthieu Alfaro, Jérôme Coville, Thomas Laurent, José A. Carrillo, Robin Aguilée, Ophélie Ronce, François Rousset, Quentin Griette and Nicolas Champagnat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Physica D Nonlinear Phenomena.

In The Last Decade

Gaël Raoul

11 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Gaël Raoul	203	166	97	95	50	12	364
Narcisa Apreutesei	136 0.7×	203 1.2×	107 1.1×	130 1.4×	31 0.6×	33	375
Zhongwei Shen	103 0.5×	193 1.2×	67 0.7×	112 1.2×	68 1.4×	30	348
Gonzalo Robledo	69 0.3×	148 0.9×	63 0.6×	89 0.9×	22 0.4×	37	320
Miljana Jovanović	110 0.5×	195 1.2×	75 0.8×	151 1.6×	42 0.8×	29	387
Mahmoud Hesaaraki	74 0.4×	126 0.8×	55 0.6×	155 1.6×	58 1.2×	33	309
Salomé Martínez	145 0.7×	220 1.3×	86 0.9×	157 1.7×	78 1.6×	19	371
Philipp Getto	119 0.6×	160 1.0×	89 0.9×	19 0.2×	22 0.4×	13	303
Kazuo Kishimoto	58 0.3×	153 0.9×	149 1.5×	30 0.3×	22 0.4×	43	390
G. S. Jordan	138 0.7×	192 1.2×	75 0.8×	106 1.1×	55 1.1×	15	373
Hui Sun	79 0.4×	54 0.3×	34 0.4×	55 0.6×	16 0.3×	32	368

Countries citing papers authored by Gaël Raoul

Since Specialization

Citations

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

Fields of papers citing papers by Gaël Raoul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaël Raoul

This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Raoul. A scholar is included among the top collaborators of Gaël Raoul 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 Gaël Raoul. Gaël Raoul 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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