Maxime Beauchamp
Impact in
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- Air Quality and Health Impacts
- Atmospheric Science top 10%
- Atmospheric chemistry and aerosols
- Meteorological Phenomena and Simulations
- Atmospheric Ozone and Climate
Papers in
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- Air Quality and Health Impacts 8
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- Atmospheric chemistry and aerosols 4
- Meteorological Phenomena and Simulations 4
- Co-authors
- Ronan Fablet (6 shared papers)Laure Malherbe (7 shared papers)Bertrand Bessagnet (6 shared papers)Laurent Létinois (4 shared papers)Chantal de Fouquet (5 shared papers)Augustin Colette (2 shared papers)Laurence Rouïl (2 shared papers)Philippe Thunis (2 shared papers)
In The Last Decade
Maxime Beauchamp
17 papers receiving 283 citations
Peers
Comparison fields: 5 of 54
- Health, Toxicology and Mutagenesis 144
- Atmospheric Science 158
- Environmental Engineering 81
- Oceanography 54
- Global and Planetary Change 80
Countries citing papers authored by Maxime Beauchamp
This map shows the geographic impact of Maxime Beauchamp'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 Maxime Beauchamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Beauchamp more than expected).
Fields of papers citing papers by Maxime Beauchamp
This network shows the impact of papers produced by Maxime Beauchamp. 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 Maxime Beauchamp. The network helps show where Maxime Beauchamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Beauchamp, 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 | 2015 | 67 | |
| 2 | 2014 | 54 | |
| 3 | 2015 | 27 | |
| 4 | 2023 | 26 | |
| 5 | 2018 | 19 | |
| 6 | 2020 | 16 | |
| 7 | 2017 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2018 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 6 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 3 | |
| 15 | On numerical computation for the distribution of the convolution of N independent rectified Gaussian variables | 2018 | 3 |
| 16 | 2015 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Maxime Beauchamp
Maxime Beauchamp is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering, Oceanography and Global and Planetary Change, having authored 19 papers that have together received 289 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (8 papers), Soil Geostatistics and Mapping (5 papers), Oceanographic and Atmospheric Processes (4 papers), Atmospheric chemistry and aerosols (4 papers), Meteorological Phenomena and Simulations (4 papers), Ocean Waves and Remote Sensing (3 papers), Vehicle emissions and performance (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (144 citations), Atmospheric Science (158 citations), Environmental Engineering (81 citations), Oceanography (54 citations) and Global and Planetary Change (80 citations). Maxime Beauchamp has collaborated with scholars based in France, Italy and Denmark. Frequent co-authors include Ronan Fablet, Laure Malherbe, Bertrand Bessagnet, Laurent Létinois, Chantal de Fouquet, Augustin Colette, Laurence Rouïl, Philippe Thunis, Laurent Menut and Guido Pirovano. Their work appears in journals such as Geoscientific model development, Environmental Health, International Journal of Environmental Research and Public Health, Atmospheric Environment and Environmental Research Communications.
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.