Pierre Auger
Impact in
- Modeling and Simulation top 0.5%
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 109
- Genetics 70
- Evolution and Genetic Dynamics 69
- Co-authors
- Jean‐Christophe Poggiale (31 shared papers)Rafael Bravo de la Parra (29 shared papers)E.Douglas Wigle (13 shared papers)Yves Marquis (5 shared papers)Eva Sánchez (10 shared papers)Ali Moussaoui (24 shared papers)Christophe Lett (12 shared papers)Sandrine Charles (11 shared papers)
In The Last Decade
Pierre Auger
219 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 166
- Modeling and Simulation 358
- Public Health, Environmental and Occupational Health 1.7k
- Genetics 1.1k
- Nature and Landscape Conservation 390
- Global and Planetary Change 603
Countries citing papers authored by Pierre Auger
This map shows the geographic impact of Pierre Auger'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 Pierre Auger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Auger more than expected).
Fields of papers citing papers by Pierre Auger
This network shows the impact of papers produced by Pierre Auger. 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 Pierre Auger. The network helps show where Pierre Auger may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Auger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 138 | |
| 2 | 1969 | 91 | |
| 3 | 1996 | 82 | |
| 4 | 1994 | 81 | |
| 5 | 1967 | 79 | |
| 6 | 2008 | 68 | |
| 7 | 1999 | 65 | |
| 8 | 1969 | 65 | |
| 9 | 1979 | 64 | |
| 10 | 2008 | 63 | |
| 11 | 1997 | 61 | |
| 12 | 1967 | 55 | |
| 13 | 1998 | 53 | |
| 14 | 2000 | 53 | |
| 15 | 2000 | 51 | |
| 16 | 2000 | 51 | |
| 17 | 2006 | 50 | |
| 18 | 2008 | 50 | |
| 19 | 2002 | 49 | |
| 20 | 2000 | 48 |
About Pierre Auger
Pierre Auger is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Sociology and Political Science, Global and Planetary Change and Ecology, having authored 232 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (109 papers), Evolution and Genetic Dynamics (69 papers), Evolutionary Game Theory and Cooperation (56 papers), Marine and fisheries research (20 papers), Ecosystem dynamics and resilience (14 papers), Cardiac electrophysiology and arrhythmias (13 papers), Stochastic processes and statistical mechanics (12 papers) and Coral and Marine Ecosystems Studies (12 papers). The work is most often cited by research in Modeling and Simulation (358 citations), Public Health, Environmental and Occupational Health (1.7k citations), Genetics (1.1k citations), Nature and Landscape Conservation (390 citations) and Global and Planetary Change (603 citations). Pierre Auger has collaborated with scholars based in France, Canada and Spain. Frequent co-authors include Jean‐Christophe Poggiale, Rafael Bravo de la Parra, E.Douglas Wigle, Yves Marquis, Eva Sánchez, Ali Moussaoui, Christophe Lett, Sandrine Charles, Vitaly Volpert and Stéphane Génieys. Their work appears in journals such as Acta Biotheoretica, Ecological Modelling, Mathematical Biosciences, Mathematical and Computer Modelling and Journal of Theoretical Biology.
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.