Philippe Aubry
Impact in
- Algebra and Number Theory top 10%
- Commutative Algebra and Its Applications
-
- Polynomial and algebraic computation
Papers in
- Ecology 11
- Wildlife Ecology and Conservation 10
- Co-authors
- Marc Moreno Maza (2 shared papers)Daniel Lazard (1 shared paper)D. Debouzie (4 shared papers)Hervé Fritz (3 shared papers)Matthieu Guillemain (4 shared papers)Mohab Safey El Din (1 shared paper)Fabrice Rouillier (1 shared paper)François Klein (1 shared paper)
- Journals
- Ecological Indicators (4 papers)Ecology (4 papers)MethodsX (4 papers)PLoS ONE (3 papers)Wildlife Biology (2 papers)
- Partner nations
- FranceUnited KingdomBurundi
In The Last Decade
Philippe Aubry
40 papers receiving 655 citations
Peers
Comparison fields: 5 of 106
- Algebra and Number Theory 100
- Computational Theory and Mathematics 220
- Computational Mathematics 8
- Ecological Modeling 54
- Ecology 211
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 136 | |
| 2 | 2008 | 69 | |
| 3 | 2009 | 59 | |
| 4 | 1981 | 53 | |
| 5 | 2002 | 39 | |
| 6 | 1999 | 36 | |
| 7 | 2000 | 32 | |
| 8 | 1998 | 28 | |
| 9 | 2000 | 27 | |
| 10 | Duck hunting bag estimates for the 2013/14 season in France | 2016 | 21 |
| 11 | 2012 | 18 | |
| 12 | 2001 | 15 | |
| 13 | 2020 | 15 | |
| 14 | [The diabetic foot in Cameroon]. | 2005 | 14 |
| 15 | 2019 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2004 | 10 | |
| 19 | 2012 | 9 | |
| 20 | 2020 | 8 |
About Philippe Aubry
Philippe Aubry is a scholar working on Ecology, Statistics and Probability, Nature and Landscape Conservation, Epidemiology and Environmental Engineering, having authored 46 papers that have together received 690 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (10 papers), Soil Geostatistics and Mapping (7 papers), Polynomial and algebraic computation (6 papers), Advanced Numerical Analysis Techniques (5 papers), Ecology and Vegetation Dynamics Studies (5 papers), Species Distribution and Climate Change (4 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 (100 citations), Computational Theory and Mathematics (220 citations), Computational Mathematics (8 citations), Ecological Modeling (54 citations) and Ecology (211 citations). Philippe Aubry has collaborated with scholars based in France, United Kingdom and Burundi. Frequent co-authors include Marc Moreno Maza, Daniel Lazard, D. Debouzie, Hervé Fritz, Matthieu Guillemain, Mohab Safey El Din, Fabrice Rouillier, François Klein, Sonia Saı̈d and Matthieu Guillemain. Their work appears in journals such as Ecological Indicators, Ecology, MethodsX, 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.