Grégoire Nadin
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth 12
- Fractional Differential Equations Solutions 5
- Applied Mathematics top 2%
- Nonlinear Differential Equations Analysis 11
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods 6
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- Mathematical and Theoretical Epidemiology and Ecology Models 30
- Mathematical Physics top 5%
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- Evolution and Genetic Dynamics 8
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- Advanced Mathematical Modeling in Engineering 6
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- Nonlinear Dynamics and Pattern Formation 6
- Co-authors
- Henri BerestyckiBenoı̂t PerthameLenya RyzhikLuca RossiFrançois HamelYannick PrivatMin TangAntoine Laurain
- Journals
- PLoS ONE (1 paper)Journal of the American Geriatrics Society (1 paper)Archive for Rational Mechanics and Analysis (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Grégoire Nadin
36 papers receiving 957 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 391
- Applied Mathematics 358
- Numerical Analysis 140
- Public Health, Environmental and Occupational Health 752
- Mathematical Physics 155
Countries citing papers authored by Grégoire Nadin
This map shows the geographic impact of Grégoire Nadin'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 Grégoire Nadin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégoire Nadin more than expected).
Fields of papers citing papers by Grégoire Nadin
This network shows the impact of papers produced by Grégoire Nadin. 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 Grégoire Nadin. The network helps show where Grégoire Nadin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Grégoire Nadin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 4 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 9 | |
| 9 | 2017 | 12 | |
| 10 | Asymptotic spreading for general heterogeneous Fisher-KPP type equations | 2015 | 19 |
| 11 | 2013 | 7 | |
| 12 | 2012 | 61 | |
| 13 | 2012 | 35 | |
| 14 | 2011 | 35 | |
| 15 | 2010 | 36 | |
| 16 | 2009 | 96 | |
| 17 | 2008 | 43 | |
| 18 | 2008 | 4 | |
| 19 | 2008 | 115 | |
| 20 | 2007 | 6 |
About Grégoire Nadin
Grégoire Nadin is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (30 papers), Mathematical Biology Tumor Growth (12 papers), Nonlinear Differential Equations Analysis (11 papers), Evolution and Genetic Dynamics (8 papers), Differential Equations and Numerical Methods (6 papers), Advanced Mathematical Modeling in Engineering (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Fractional Differential Equations Solutions (5 papers). The work is most often cited by research in Modeling and Simulation (391 citations), Applied Mathematics (358 citations) and Numerical Analysis (140 citations). Grégoire Nadin has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Henri Berestycki, Benoı̂t Perthame, Lenya Ryzhik, Luca Rossi, François Hamel, Yannick Privat, Min Tang, Antoine Laurain, Lionel Roques and Vincent Calvez. Their work appears in journals such as PLoS ONE, Journal of the American Geriatrics Society and Archive for Rational Mechanics and Analysis.
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.