Thomas Lepoutre

48 total papers · 517 total citations
20 papers, 235 citations indexed

About

Thomas Lepoutre is a scholar working on Modeling and Simulation, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Thomas Lepoutre has authored 20 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Modeling and Simulation, 8 papers in Molecular Biology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Thomas Lepoutre's work include Mathematical Biology Tumor Growth (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers) and Gene Regulatory Network Analysis (7 papers). Thomas Lepoutre is often cited by papers focused on Mathematical Biology Tumor Growth (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers) and Gene Regulatory Network Analysis (7 papers). Thomas Lepoutre collaborates with scholars based in France, United States and Netherlands. Thomas Lepoutre's co-authors include Ayman Moussa, Stéphane Gaubert, Laurent Desvillettes, Jean Clairambault, Doron Levy, Samuel Bernard, Benoı̂t Perthame, A. Marrocco, Marie Doumic and Mostafa Bendahmane and has published in prestigious journals such as Cancer Research, Nonlinear Analysis and Bulletin of Mathematical Biology.

In The Last Decade

Thomas Lepoutre

18 papers receiving 224 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas Lepoutre 102 61 56 51 37 20 235
Rosanna Villella-Bressan 162 1.6× 102 1.7× 41 0.7× 11 0.2× 12 0.3× 24 302
Guillemette Chapuisat 101 1.0× 72 1.2× 73 1.3× 2 0.0× 9 0.2× 18 327
Zhuojun Liu 37 0.4× 83 1.4× 41 0.7× 5 0.1× 17 0.5× 37 312
Carmela Sinisgalli 134 1.3× 50 0.8× 81 1.4× 3 0.1× 5 0.1× 24 272
Betty Tang 23 0.2× 68 1.1× 118 2.1× 4 0.1× 6 0.2× 14 317
Philipp Getto 119 1.2× 160 2.6× 54 1.0× 11 0.2× 1 0.0× 13 303
Hyun Soo Kim 44 0.4× 16 0.3× 126 2.3× 2 0.0× 4 0.1× 22 307
A. Ichikawa 6 0.1× 10 0.2× 77 1.4× 8 0.2× 17 0.5× 27 295
Catherine J. Penington 130 1.3× 51 0.8× 120 2.1× 1 0.0× 5 0.1× 14 277
Hideki Murakawa 105 1.0× 75 1.2× 55 1.0× 28 272

Countries citing papers authored by Thomas Lepoutre

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lepoutre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Lepoutre

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