Philippe Aubry
Impact in
- Algebra and Number Theory top 10%
- Commutative Algebra and Its Applications
-
- Polynomial and algebraic computation
Papers in
- Ecology 12
- Wildlife Ecology and Conservation 11
- Co-authors
- Marc Moreno Maza (2 shared papers)Daniel Lazard (1 shared paper)Domitien Debouzie (4 shared papers)Hervé Fritz (3 shared papers)Mohab Safey El Din (1 shared paper)Fabrice Rouillier (1 shared paper)Matthieu Guillemain (5 shared papers)Matthieu Guillemain (3 shared papers)
- Journals
- MethodsX (5 papers)Ecological Indicators (4 papers)Ecology (4 papers)PLoS ONE (3 papers)Wildlife Biology (2 papers)
- Partner nations
- FranceUnited KingdomSpain
In The Last Decade
Philippe Aubry
40 papers receiving 771 citations
Peers
Comparison fields: 5 of 107
- Algebra and Number Theory 131
- Computational Theory and Mathematics 304
- Computational Mathematics 9
- Ecological Modeling 61
- Geometry and Topology 99
Countries citing papers authored by Philippe Aubry
This map shows the geographic impact of Philippe Aubry'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 Philippe Aubry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Aubry more than expected).
Fields of papers citing papers by Philippe Aubry
This network shows the impact of papers produced by Philippe Aubry. 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 Philippe Aubry. The network helps show where Philippe Aubry may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Aubry, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 190 | |
| 2 | 2008 | 73 | |
| 3 | 2009 | 63 | |
| 4 | 1981 | 57 | |
| 5 | 2002 | 55 | |
| 6 | 1999 | 49 | |
| 7 | 2000 | 34 | |
| 8 | 1998 | 31 | |
| 9 | 2000 | 30 | |
| 10 | Duck hunting bag estimates for the 2013/14 season in France | 2016 | 22 |
| 11 | 2012 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 18 | |
| 14 | 2001 | 17 | |
| 15 | 2014 | 14 | |
| 16 | 2019 | 14 | |
| 17 | 2023 | 12 | |
| 18 | 2012 | 11 | |
| 19 | 2004 | 11 | |
| 20 | 2024 | 10 |
About Philippe Aubry
Philippe Aubry is a scholar working on Statistics and Probability, Ecology, Ecological Modeling, Nature and Landscape Conservation and Computational Theory and Mathematics, having authored 47 papers that have together received 810 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (11 papers), Polynomial and algebraic computation (8 papers), Soil Geostatistics and Mapping (7 papers), Advanced Numerical Analysis Techniques (6 papers), Species Distribution and Climate Change (5 papers), Ecology and Vegetation Dynamics Studies (5 papers), Commutative Algebra and Its Applications (4 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Algebra and Number Theory (131 citations), Computational Theory and Mathematics (304 citations), Computational Mathematics (9 citations), Ecological Modeling (61 citations) and Geometry and Topology (99 citations). Philippe Aubry has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Marc Moreno Maza, Daniel Lazard, Domitien Debouzie, Hervé Fritz, Mohab Safey El Din, Fabrice Rouillier, Matthieu Guillemain, Matthieu Guillemain, Sonia Saı̈d and David H. Storms. Their work appears in journals such as MethodsX, Ecological Indicators, Ecology, PLoS ONE and Wildlife 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.