Mélanie C. Rochoux

728 total citations
31 papers, 456 citations indexed

About

Mélanie C. Rochoux is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Mélanie C. Rochoux has authored 31 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 17 papers in Atmospheric Science and 11 papers in Environmental Engineering. Recurrent topics in Mélanie C. Rochoux's work include Meteorological Phenomena and Simulations (16 papers), Fire effects on ecosystems (15 papers) and Wind and Air Flow Studies (8 papers). Mélanie C. Rochoux is often cited by papers focused on Meteorological Phenomena and Simulations (16 papers), Fire effects on ecosystems (15 papers) and Wind and Air Flow Studies (8 papers). Mélanie C. Rochoux collaborates with scholars based in France, United States and Spain. Mélanie C. Rochoux's co-authors include Arnaud Trouvé, Bénédicte Cuenot, Sophie Ricci, S. Ricci, Didier Lucor, Olivier Thual, Blaise Delmotte, Nicole Goutal, Philippe Moireau and Cong Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Building and Environment.

In The Last Decade

Mélanie C. Rochoux

30 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mélanie C. Rochoux France 14 317 160 115 78 71 31 456
Fusanori Miura Japan 12 193 0.6× 78 0.5× 68 0.6× 59 0.8× 20 0.3× 44 447
Marika Koukoula United States 12 171 0.5× 168 1.1× 81 0.7× 42 0.5× 92 1.3× 28 483
Sebastian Müller Germany 10 62 0.2× 46 0.3× 145 1.3× 51 0.7× 25 0.4× 35 344
Luca Garrè Norway 11 149 0.5× 143 0.9× 25 0.2× 17 0.2× 33 0.5× 16 353
Xavier Silvani France 13 486 1.5× 58 0.4× 68 0.6× 10 0.1× 426 6.0× 22 670
Jie Hu China 16 85 0.3× 37 0.2× 44 0.4× 37 0.5× 322 4.5× 60 861
Caterina Negulescu France 14 80 0.3× 45 0.3× 39 0.3× 16 0.2× 39 0.5× 29 542
Lennart Schüler Germany 7 54 0.2× 25 0.2× 110 1.0× 47 0.6× 18 0.3× 24 320
Nguyễn Kim Lợi Vietnam 12 238 0.8× 63 0.4× 74 0.6× 177 2.3× 3 0.0× 44 388

Countries citing papers authored by Mélanie C. Rochoux

Since Specialization
Citations

This map shows the geographic impact of Mélanie C. Rochoux'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 Mélanie C. Rochoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mélanie C. Rochoux more than expected).

Fields of papers citing papers by Mélanie C. Rochoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mélanie C. Rochoux. 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 Mélanie C. Rochoux. The network helps show where Mélanie C. Rochoux may publish in the future.

Co-authorship network of co-authors of Mélanie C. Rochoux

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

All Works

20 of 20 papers shown
1.
Rochoux, Mélanie C., et al.. (2025). Surrogate-based ensemble data assimilation for reducing uncertainty in large-eddy simulation of microscale pollutant dispersion. Building and Environment. 287. 113863–113863.
3.
Sánchez-Gómez, Emilia, et al.. (2024). Past and Future Trends in Clear‐Air Turbulence Over the Northern Hemisphere. Journal of Geophysical Research Atmospheres. 129(13). 4 indexed citations
4.
Rochoux, Mélanie C., et al.. (2024). Uncertainty-aware surrogate modeling for urban air pollutant dispersion prediction. Building and Environment. 267. 112287–112287. 3 indexed citations
5.
6.
Rodier, Quentin, et al.. (2022). Effects of High‐Density Gradients on Wildland Fire Behavior in Coupled Atmosphere‐Fire Simulations. Journal of Advances in Modeling Earth Systems. 14(11). 4 indexed citations
7.
Paugam, Ronan, Martin J. Wooster, William Mell, et al.. (2021). Orthorectification of Helicopter-Borne High Resolution Experimental Burn Observation from Infra Red Handheld Imagers. Remote Sensing. 13(23). 4913–4913. 4 indexed citations
8.
Rochoux, Mélanie C., et al.. (2021). Subgrid-scale fire front reconstruction for ensemble coupled atmosphere-fire simulations of the FireFlux I experiment. Fire Safety Journal. 126. 103475–103475. 11 indexed citations
9.
Biancamaria, Sylvain, et al.. (2020). Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters. Hydrology and earth system sciences. 24(5). 2207–2233. 19 indexed citations
12.
Trucchia, Andrea, et al.. (2019). On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators. Communications in Nonlinear Science and Numerical Simulation. 73. 120–145. 20 indexed citations
13.
Collin, Antoine, et al.. (2018). Front shape similarity measure for data-driven simulations of wildland fire spread based on state estimation: Application to the RxCADRE field-scale experiment. Proceedings of the Combustion Institute. 37(3). 4201–4209. 17 indexed citations
14.
Moçayd, Nabil El, et al.. (2017). Comparison of polynomial chaos and Gaussian process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows. Stochastic Environmental Research and Risk Assessment. 32(6). 1723–1741. 29 indexed citations
15.
Rochoux, Mélanie C., et al.. (2015). Towards predictive data-driven simulations of wildfire spread – Part II: Ensemble Kalman Filter for the state estimation of a front-tracking simulator of wildfire spread. Natural hazards and earth system sciences. 15(8). 1721–1739. 40 indexed citations
16.
Rochoux, Mélanie C., Stéphane Bélair, Maria Abrahamowicz, & P. Pellerin. (2015). Subgrid-Scale Variability for Thermodynamic Variables in an Offline Land Surface Prediction System. Journal of Hydrometeorology. 17(1). 171–193. 7 indexed citations
17.
Gollner, Michael J., Arnaud Trouvé, İlkay Altıntaş, et al.. (2015). Towards Data-Driven Operational Wildfire Spread Modeling: A Report of the NSF-Funded WIFIRE Workshop. Digital Repository at the University of Maryland (University of Maryland College Park). 14 indexed citations
18.
Rochoux, Mélanie C., et al.. (2014). Towards predictive simulation of wildfire spread at regional scale using ensemble-based data assimilation to correct the fire front position. Fire Safety Science. 11. 1443–1456. 14 indexed citations
19.
Rochoux, Mélanie C., S. Ricci, Didier Lucor, Bénédicte Cuenot, & Arnaud Trouvé. (2014). Towards predictive data-driven simulations of wildfire spread – Part I: Reduced-cost Ensemble Kalman Filter based on a Polynomial Chaos surrogate model for parameter estimation. Natural hazards and earth system sciences. 14(11). 2951–2973. 68 indexed citations
20.
Rochoux, Mélanie C., Bénédicte Cuenot, Sophie Ricci, et al.. (2013). Data assimilation applied to combustion. Comptes Rendus Mécanique. 341(1-2). 266–276. 13 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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