Nicolas Champagnat
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Sociology and Political Science top 5%
- Mathematical Physics top 5%
- Modeling and Simulation top 2%
- Co-authors
- Régis FerrièreSylvie MéléardDenis VillemonaisAmaury LambertPierre‐Emmanuel JabinGérard Ben ArousFabien CampilloMireille Bossy
- Topics
- Stochastic processes and statistical mechanics (21 papers)Evolution and Genetic Dynamics (19 papers)Mathematical and Theoretical Epidemiology and Ecology Models (18 papers)
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
Nicolas Champagnat
37 papers receiving 918 citations
Peers
Comparison fields: 5 of 79
- Genetics 551
- Public Health, Environmental and Occupational Health 402
- Sociology and Political Science 350
- Mathematical Physics 232
- Modeling and Simulation 171
Countries citing papers authored by Nicolas Champagnat
This map shows the geographic impact of Nicolas Champagnat'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 Nicolas Champagnat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Champagnat more than expected).
Fields of papers citing papers by Nicolas Champagnat
This network shows the impact of papers produced by Nicolas Champagnat. 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 Nicolas Champagnat. The network helps show where Nicolas Champagnat may publish in the future.
Co-authorship network of co-authors of Nicolas Champagnat
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Champagnat. A scholar is included among the top collaborators of Nicolas Champagnat 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 Nicolas Champagnat. Nicolas Champagnat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 23 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | Stochastic approximation of quasi-stationary distributions for diffusion processes in a bounded domain | 2 |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 26 | |
| 15 | 14 | |
| 16 | 16 | |
| 17 | 17 | |
| 18 | Large deviations for singular and degenerate diffusion models in adaptive evolution | 2 |
| 19 | 1 | |
| 20 | 251 |
About Nicolas Champagnat
Nicolas Champagnat is a scholar working on Mathematical Physics, Statistics and Probability and Modeling and Simulation, having authored 43 papers that have together received 937 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (21 papers), Evolution and Genetic Dynamics (19 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (18 papers). The work is most often cited by research in Modeling and Simulation (171 citations), Mathematical Physics (232 citations) and Genetics (551 citations). Nicolas Champagnat has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Régis Ferrière, Sylvie Méléard, Denis Villemonais, Amaury Lambert, Sylvie Méléard, Pierre‐Emmanuel Jabin, Gérard Ben Arous, Fabien Campillo, Mireille Bossy and Sylvain Maire. Their work appears in journals such as Bioinformatics, Ecological Modelling and Physica A Statistical Mechanics and its Applications.
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.