Maxime Beauchamp

515 total citations
18 papers, 279 citations indexed

About

Maxime Beauchamp is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Maxime Beauchamp has authored 18 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 8 papers in Atmospheric Science and 6 papers in Environmental Engineering. Recurrent topics in Maxime Beauchamp's work include Air Quality and Health Impacts (9 papers), Soil Geostatistics and Mapping (5 papers) and Atmospheric chemistry and aerosols (4 papers). Maxime Beauchamp is often cited by papers focused on Air Quality and Health Impacts (9 papers), Soil Geostatistics and Mapping (5 papers) and Atmospheric chemistry and aerosols (4 papers). Maxime Beauchamp collaborates with scholars based in France, Italy and Denmark. Maxime Beauchamp's co-authors include Ronan Fablet, Laure Malherbe, Laurent Létinois, Chantal de Fouquet, Bertrand Bessagnet, Augustin Colette, Laurence Rouïl, Philippe Thunis, Laurent Menut and Guido Pirovano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and International Journal of Environmental Research and Public Health.

In The Last Decade

Maxime Beauchamp

17 papers receiving 272 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maxime Beauchamp France 10 154 143 81 80 52 18 279
Edgar Vallar Philippines 10 136 0.9× 132 0.9× 124 1.5× 82 1.0× 18 0.3× 47 324
Mingyuan Yu China 11 252 1.6× 198 1.4× 126 1.6× 99 1.2× 12 0.2× 37 348
Elizabeth Mannshardt United States 8 200 1.3× 133 0.9× 152 1.9× 76 0.9× 15 0.3× 16 336
Yuanqin Yang China 8 263 1.7× 210 1.5× 190 2.3× 101 1.3× 10 0.2× 14 331
Mariantonia Bencardino Italy 10 109 0.7× 226 1.6× 74 0.9× 57 0.7× 5 0.1× 29 306
Lisa Tzu-Chi Chang Australia 14 205 1.3× 213 1.5× 206 2.5× 90 1.1× 6 0.1× 24 386
Xinping Xu China 12 430 2.8× 270 1.9× 390 4.8× 129 1.6× 58 1.1× 24 661
Venkata Bhaskar Rao Dodla India 10 209 1.4× 94 0.7× 181 2.2× 74 0.9× 12 0.2× 14 299
Xin Zuo China 8 245 1.6× 290 2.0× 127 1.6× 177 2.2× 8 0.2× 14 409
T. Liu China 4 302 2.0× 271 1.9× 139 1.7× 112 1.4× 7 0.1× 7 358

Countries citing papers authored by Maxime Beauchamp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Maxime Beauchamp

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Beauchamp. A scholar is included among the top collaborators of Maxime Beauchamp 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 Maxime Beauchamp. Maxime Beauchamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Beauchamp, Maxime, et al.. (2025). Neural Variational Data Assimilation with Uncertainty Quantification Using SPDE Priors. SPIRE - Sciences Po Institutional REpository. 4(3).
2.
Beauchamp, Maxime, et al.. (2023). 4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry. Geoscientific model development. 16(8). 2119–2147. 23 indexed citations
3.
Beauchamp, Maxime & Bertrand Bessagnet. (2023). An iterative optimization scheme to accommodate inequality constraints in air quality geostatistical estimation of multivariate PM. Heliyon. 9(6). e17413–e17413. 1 indexed citations
4.
Fablet, Ronan, et al.. (2021). END-TO-END PHYSICS-INFORMED REPRESENTATION LEARNING FOR SATELLITE OCEAN REMOTE SENSING DATA: APPLICATIONS TO SATELLITE ALTIMETRY AND SEA SURFACE CURRENTS. SHILAP Revista de lepidopterología. V-3-2021. 295–302. 14 indexed citations
5.
Caudeville, Julien, M. Guedda, Céline Brochot, et al.. (2021). Characterizing environmental geographic inequalities using an integrated exposure assessment. Environmental Health. 20(1). 58–58. 6 indexed citations
6.
Fablet, Ronan, Maxime Beauchamp, Lucas Drumetz, & François Rousseau. (2021). Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields. Frontiers in Applied Mathematics and Statistics. 7. 12 indexed citations
7.
Bessagnet, Bertrand, Maxime Beauchamp, Laurent Menut, et al.. (2021). Deep learning techniques applied to super-resolution chemistry transport modeling for operational uses. Environmental Research Communications. 3(8). 85001–85001. 9 indexed citations
8.
Beauchamp, Maxime, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, & Bertrand Chapron. (2020). Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations. Remote Sensing. 12(22). 3806–3806. 16 indexed citations
9.
Beauchamp, Maxime, Laure Malherbe, Chantal de Fouquet, & Laurent Létinois. (2018). A necessary distinction between spatial representativeness of an air quality monitoring station and the delimitation of exceedance areas. Environmental Monitoring and Assessment. 190(7). 441–441. 10 indexed citations
10.
Beauchamp, Maxime, Bertrand Bessagnet, Chantal de Fouquet, et al.. (2018). An additive geostatistical model for mixing total and partial PM10 observations with CHIMERE rCTM. Atmospheric Environment. 189. 61–79. 3 indexed citations
11.
Malherbe, Laure, et al.. (2018). Characterization of Environmental Health Inequalities Due to Polyaromatic Hydrocarbon Exposure in France. International Journal of Environmental Research and Public Health. 15(12). 2680–2680. 3 indexed citations
12.
Beauchamp, Maxime. (2018). On numerical computation for the distribution of the convolution of N independent rectified Gaussian variables. HAL (Le Centre pour la Communication Scientifique Directe). 159(1). 88–111. 3 indexed citations
13.
Beauchamp, Maxime, et al.. (2018). A polynomial approximation of the traffic contributions for kriging-based interpolation of urban air quality model. Environmental Modelling & Software. 105. 132–152. 18 indexed citations
14.
Beauchamp, Maxime, Chantal de Fouquet, & Laure Malherbe. (2017). Dealing with non-stationarity through explanatory variables in kriging-based air quality maps. Spatial Statistics. 22. 18–46. 16 indexed citations
15.
Terrenoire, Etienne, Bertrand Bessagnet, Laurence Rouïl, et al.. (2015). High-resolution air quality simulation over Europe with the chemistry transport model CHIMERE. Geoscientific model development. 8(1). 21–42. 66 indexed citations
16.
Caudeville, Julien, et al.. (2015). Building spatial composite indicators to analyze environmental health inequalities on a regional scale. Environmental Health. 14(1). 68–68. 26 indexed citations
17.
Beauchamp, Maxime, Laure Malherbe, & Chantal de Fouquet. (2015). A pragmatic approach to estimate the number of days in exceedance of PM10 limit value. Atmospheric Environment. 111. 79–93. 2 indexed citations
18.
Bessagnet, Bertrand, Maxime Beauchamp, Cristina Guerreiro, et al.. (2014). Can further mitigation of ammonia emissions reduce exceedances of particulate matter air quality standards?. Environmental Science & Policy. 44. 149–163. 51 indexed citations

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.

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