David Michéa

1.2k total citations
20 papers, 789 citations indexed

About

David Michéa is a scholar working on Management, Monitoring, Policy and Law, Artificial Intelligence and Geophysics. According to data from OpenAlex, David Michéa has authored 20 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management, Monitoring, Policy and Law, 6 papers in Artificial Intelligence and 6 papers in Geophysics. Recurrent topics in David Michéa's work include Landslides and related hazards (8 papers), Seismic Imaging and Inversion Techniques (5 papers) and Seismology and Earthquake Studies (5 papers). David Michéa is often cited by papers focused on Landslides and related hazards (8 papers), Seismic Imaging and Inversion Techniques (5 papers) and Seismology and Earthquake Studies (5 papers). David Michéa collaborates with scholars based in France, United States and Italy. David Michéa's co-authors include Dimitri Komatitsch, Gordon Erlebacher, Jean‐Philippe Malet, André Stumpf, Floriane Provost, Dominik Göddeke, Fabrice Dupros, Clément Hibert, Marten Geertsema and Stéphane Negny and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Journal of Computational Physics.

In The Last Decade

David Michéa

19 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Michéa France 11 334 161 106 82 81 20 789
Ian Briggs United States 7 497 1.5× 49 0.3× 99 0.9× 28 0.3× 39 0.5× 14 982
Tsuyoshi Ichimura Japan 14 275 0.8× 88 0.5× 70 0.7× 22 0.3× 28 0.3× 113 703
Stephen Roberts Australia 18 168 0.5× 472 2.9× 197 1.9× 42 0.5× 122 1.5× 85 1.3k
Kamyar Azizzadenesheli United States 14 223 0.7× 174 1.1× 204 1.9× 13 0.2× 103 1.3× 36 1.1k
Feng Shen China 18 1.9k 5.6× 102 0.6× 206 1.9× 54 0.7× 85 1.0× 129 2.8k
Maarten V. de Hoop United States 19 797 2.4× 102 0.6× 260 2.5× 61 0.7× 250 3.1× 103 1.8k
Weidong Zhao China 20 47 0.1× 177 1.1× 56 0.5× 37 0.5× 79 1.0× 103 1.3k
Daniel O’Malley United States 24 202 0.6× 112 0.7× 319 3.0× 19 0.2× 323 4.0× 106 1.6k
Marc Acheroy Belgium 20 96 0.3× 86 0.5× 218 2.1× 27 0.3× 23 0.3× 102 1.8k

Countries citing papers authored by David Michéa

Since Specialization
Citations

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

Fields of papers citing papers by David Michéa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Michéa. 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 David Michéa. The network helps show where David Michéa may publish in the future.

Co-authorship network of co-authors of David Michéa

This figure shows the co-authorship network connecting the top 25 collaborators of David Michéa. A scholar is included among the top collaborators of David Michéa 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 David Michéa. David Michéa 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.
Michéa, David, et al.. (2025). Urban tree species benchmark dataset for time series classification. Data in Brief. 61. 111777–111777.
2.
Michéa, David, et al.. (2024). A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series. ISPRS Journal of Photogrammetry and Remote Sensing. 215. 400–418. 8 indexed citations
3.
Provost, Floriane, Volkan Karabaçak, Jean‐Philippe Malet, et al.. (2024). High-resolution co-seismic fault offsets of the 2023 Türkiye earthquake ruptures using satellite imagery. Scientific Reports. 14(1). 6834–6834. 21 indexed citations
4.
Provost, Floriane, David Michéa, Jean‐Philippe Malet, et al.. (2022). Terrain deformation measurements from optical satellite imagery: The MPIC-OPT processing services for geohazards monitoring. Remote Sensing of Environment. 274. 112949–112949. 24 indexed citations
5.
6.
Hibert, Clément, David Michéa, Floriane Provost, Jean‐Philippe Malet, & Marten Geertsema. (2019). Exploration of continuous seismic recordings with a machine learning approach to document 20 yr of landslide activity in Alaska. Geophysical Journal International. 219(2). 1138–1147. 38 indexed citations
7.
Hibert, Clément, David Michéa, Floriane Provost, Jean‐Philippe Malet, & Marten Geertsema. (2018). 20 years of landslide activity in Alaska from automated machine-learning based seismic detection. EGUGA. 8595. 1 indexed citations
8.
Stumpf, André, David Michéa, & Jean‐Philippe Malet. (2018). Improved Co-Registration of Sentinel-2 and Landsat-8 Imagery for Earth Surface Motion Measurements. Remote Sensing. 10(2). 160–160. 79 indexed citations
9.
Hibert, Clément, David Michéa, Floriane Provost, Jean‐Philippe Malet, & Marten Geertsema. (2017). Automated seismic detection of landslides at regional scales: a Random Forest based detection algorithm. AGUFM. 2017. 1 indexed citations
10.
Stumpf, André, Odin Marc, Jean‐Philippe Malet, & David Michéa. (2017). Sentinel-2 for rapid operational landslide inventory mapping. EGU General Assembly Conference Abstracts. 4449. 2 indexed citations
11.
Hibert, Clément, Jean‐Philippe Malet, Floriane Provost, David Michéa, & Marten Geertsema. (2017). Automated seismic detection of landslides at regional scales: a Random Forest based detection algorithm for Alaska and the Himalaya.. EGUGA. 6151. 2 indexed citations
12.
Belaud, Jean‐Pierre, et al.. (2014). Collaborative simulation and scientific big data analysis: Illustration for sustainability in natural hazards management and chemical process engineering. Computers in Industry. 65(3). 521–535. 34 indexed citations
13.
Michéa, David, et al.. (2014). An Out-of-core GPU Approach for Accelerating Geostatistical Interpolation. Procedia Computer Science. 29. 888–896. 5 indexed citations
14.
Aochi, Hideo, et al.. (2013). Finite difference simulations of seismic wave propagation for understanding earthquake physics and predicting ground motions: Advances and challenges. Journal of Physics Conference Series. 454. 12010–12010. 17 indexed citations
15.
Michéa, David & Dimitri Komatitsch. (2010). Accelerating a three-dimensional finite-difference wave propagation code using GPU graphics cards. Geophysical Journal International. no–no. 126 indexed citations
16.
Komatitsch, Dimitri, David Michéa, Gordon Erlebacher, & Dominik Göddeke. (2010). Running 3D Finite-difference or Spectral-element Wave Propagation Codes 25x to 50x Faster Using a GPU Cluster. 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010. 2 indexed citations
17.
Komatitsch, Dimitri, Dominik Göddeke, Gordon Erlebacher, & David Michéa. (2010). Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs. Computer Science - Research and Development. 25(1-2). 75–82. 46 indexed citations
18.
Komatitsch, Dimitri, et al.. (2010). High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster. Journal of Computational Physics. 229(20). 7692–7714. 220 indexed citations
19.
Komatitsch, Dimitri, David Michéa, & Gordon Erlebacher. (2009). Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA. Journal of Parallel and Distributed Computing. 69(5). 451–460. 135 indexed citations
20.
Carrington, Laura, Dimitri Komatitsch, Michael A. Laurenzano, et al.. (2008). High-frequency simulations of global seismic wave propagation using SPECFEM3D_GLOBE on 62K processors. CaltechAUTHORS (California Institute of Technology). 1–11. 26 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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