Quentin Griette

477 total citations
24 papers, 235 citations indexed

About

Quentin Griette is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Quentin Griette has authored 24 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 17 papers in Modeling and Simulation and 10 papers in Genetics. Recurrent topics in Quentin Griette's work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Evolution and Genetic Dynamics (10 papers) and COVID-19 epidemiological studies (9 papers). Quentin Griette is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Evolution and Genetic Dynamics (10 papers) and COVID-19 epidemiological studies (9 papers). Quentin Griette collaborates with scholars based in France, China and Japan. Quentin Griette's co-authors include Pierre Magal, Jacques Demongeot, Sylvain Gandon, G. Raoul, Gaël Raoul, Xiaoming Fu, Glenn F. Webb, Arnaud Ducrot, Matthieu Alfaro and Ousmane Seydi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Evolution and Transactions of the American Mathematical Society.

In The Last Decade

Quentin Griette

24 papers receiving 231 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Quentin Griette France 11 175 130 77 62 38 24 235
Maria Vittoria Barbarossa Germany 9 160 0.9× 104 0.8× 53 0.7× 77 1.2× 26 0.7× 21 305
Abdennasser Chekroun Algeria 11 237 1.4× 227 1.7× 124 1.6× 40 0.6× 16 0.4× 33 327
Omar Balatif Morocco 13 247 1.4× 196 1.5× 45 0.6× 113 1.8× 22 0.6× 37 414
Fernando Córdova‐Lepe Chile 10 104 0.6× 112 0.9× 58 0.8× 42 0.7× 20 0.5× 57 304
Derdeï Bichara United States 8 215 1.2× 203 1.6× 89 1.2× 70 1.1× 15 0.4× 17 286
Liuyong Pang China 11 262 1.5× 217 1.7× 64 0.8× 67 1.1× 12 0.3× 28 385
Shigui Ruan United States 3 255 1.5× 180 1.4× 73 0.9× 122 2.0× 27 0.7× 4 313
Dhiraj Kumar Das India 11 299 1.7× 290 2.2× 142 1.8× 73 1.2× 21 0.6× 19 420
Yang Xia China 5 146 0.8× 209 1.6× 114 1.5× 25 0.4× 9 0.2× 10 320
Eric Ávila-Vales Mexico 13 255 1.5× 251 1.9× 133 1.7× 77 1.2× 16 0.4× 36 383

Countries citing papers authored by Quentin Griette

Since Specialization
Citations

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

Fields of papers citing papers by Quentin Griette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quentin Griette

This figure shows the co-authorship network connecting the top 25 collaborators of Quentin Griette. A scholar is included among the top collaborators of Quentin Griette 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 Quentin Griette. Quentin Griette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Griette, Quentin & Hiroshi Matano. (2025). Front Propagation in Hybrid Reaction-Diffusion Epidemic Models With Spatial Heterogeneity. Part I: Spreading Speed and Asymptotic Behavior. Asymptotic Analysis. 144(3). 1291–1326. 1 indexed citations
2.
Griette, Quentin & Pierre Magal. (2025). Robin Hood Model versus Sheriff of Nottingham Model: Transfers in Population Dynamics. SIAM Journal on Applied Mathematics. 85(4). 1387–1415. 1 indexed citations
3.
Griette, Quentin, et al.. (2024). Travelling waves with continuous profile for hyperbolic Keller-Segel equation. European Journal of Applied Mathematics. 36(3). 584–612. 1 indexed citations
4.
Griette, Quentin, Matthieu Alfaro, G. Raoul, & Sylvain Gandon. (2024). Evolution and spread of multiadapted pathogens in a spatially heterogeneous environment. Evolution Letters. 8(3). 427–436. 3 indexed citations
5.
Ducrot, Arnaud, et al.. (2023). Asymptotic behavior of an epidemic model with infinitely many variants. Journal of Mathematical Biology. 87(3). 40–40. 3 indexed citations
6.
Demongeot, Jacques, Quentin Griette, Yvon Maday, & Pierre Magal. (2023). A Kermack–McKendrick model with age of infection starting from a single or multiple cohorts of infected patients. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2272). 10 indexed citations
7.
Ducrot, Arnaud, Quentin Griette, Zhihua Liu, & Pierre Magal. (2022). Differential Equations and Population Dynamics I. SPIRE - Sciences Po Institutional REpository. 8 indexed citations
8.
Alfaro, Matthieu, et al.. (2022). The spatio-temporal dynamics of interacting genetic incompatibilities. Part I: the case of stacked underdominant clines. Journal of Mathematical Biology. 84(3). 20–20. 1 indexed citations
9.
Demongeot, Jacques, Quentin Griette, Pierre Magal, & Glenn F. Webb. (2022). Modeling Vaccine Efficacy for COVID-19 Outbreak in New York City. Biology. 11(3). 345–345. 18 indexed citations
10.
Griette, Quentin, Jacques Demongeot, & Pierre Magal. (2021). What Can We Learn from COVID-19  Data by Using Epidemic Models with Unidentified Infectious Cases?. SSRN Electronic Journal. 1 indexed citations
11.
Griette, Quentin & Pierre Magal. (2021). Clarifying predictions for COVID-19 from testing data: The example of New York State. Infectious Disease Modelling. 6. 273–283. 12 indexed citations
12.
Griette, Quentin, et al.. (2021). What can we learn from COVID-19 data by using epidemic models with unidentified infectious cases?. Mathematical Biosciences & Engineering. 19(1). 537–594. 12 indexed citations
13.
Fu, Xiaoming, Quentin Griette, & Pierre Magal. (2021). Sharp discontinuous traveling waves in a hyperbolic Keller–Segel equation. Mathematical Models and Methods in Applied Sciences. 31(5). 861–905. 7 indexed citations
14.
Fu, Xiaoming, Quentin Griette, & Pierre Magal. (2020). A cell–cell repulsion model on a hyperbolic Keller–Segel equation. Journal of Mathematical Biology. 80(7). 2257–2300. 10 indexed citations
15.
Fu, Xiaoming, Quentin Griette, & Pierre Magal. (2020). Existence and uniqueness of solutions for a hyperbolic Keller–Segel equation. Discrete and Continuous Dynamical Systems - B. 26(4). 1931–1966. 7 indexed citations
16.
Demongeot, Jacques, Quentin Griette, & Pierre Magal. (2020). SI epidemic model applied to COVID-19 data in mainland China. Royal Society Open Science. 7(12). 201878–201878. 45 indexed citations
17.
Ducrot, Arnaud, et al.. (2019). Concentration estimates in a multi-host epidemiological model structured\n by phenotypic traits. arXiv (Cornell University). 6 indexed citations
18.
Griette, Quentin. (2018). Singular measure traveling waves in an epidemiological model with continuous phenotypes. Transactions of the American Mathematical Society. 371(6). 4411–4458. 11 indexed citations
19.
Alfaro, Matthieu & Quentin Griette. (2016). Pulsating fronts for Fisher-KPP systems with mutations as models in\n evolutionary epidemiology. arXiv (Cornell University). 5 indexed citations
20.
Griette, Quentin & Gaël Raoul. (2014). Existence and qualitative properties of travelling waves for an\n epidemiological model with mutations. arXiv (Cornell University). 17 indexed citations

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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2026