Mathieu Gravey

690 total citations · 1 hit paper
23 papers, 348 citations indexed

About

Mathieu Gravey is a scholar working on Environmental Engineering, Ecological Modeling and Atmospheric Science. According to data from OpenAlex, Mathieu Gravey has authored 23 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 4 papers in Ecological Modeling and 4 papers in Atmospheric Science. Recurrent topics in Mathieu Gravey's work include Soil Geostatistics and Mapping (5 papers), Cryospheric studies and observations (4 papers) and Remote Sensing and LiDAR Applications (4 papers). Mathieu Gravey is often cited by papers focused on Soil Geostatistics and Mapping (5 papers), Cryospheric studies and observations (4 papers) and Remote Sensing and LiDAR Applications (4 papers). Mathieu Gravey collaborates with scholars based in Switzerland, Austria and Netherlands. Mathieu Gravey's co-authors include Grégoire Mariethoz, Sabine B. Rumpf, Antoine Guisan, Carmen Cianfrani, Miska Luoto, Raphaël Nussbaumer, Christian A. Kull, Félix Liechti, Martins Briedis and Erwan Gloaguen and has published in prestigious journals such as Science, Global Change Biology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mathieu Gravey

21 papers receiving 343 citations

Hit Papers

From white to green: Snow cover loss and increased vegeta... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Gravey Switzerland 10 103 91 88 72 42 23 348
K. Arthur Endsley United States 12 69 0.7× 127 1.4× 67 0.8× 175 2.4× 126 3.0× 27 525
Samantha T. Arundel United States 12 107 1.0× 90 1.0× 69 0.8× 103 1.4× 66 1.6× 28 386
Melanie Brandmeier Germany 13 85 0.8× 213 2.3× 239 2.7× 111 1.5× 44 1.0× 23 564
Hammadi Achour Tunisia 10 54 0.5× 92 1.0× 125 1.4× 128 1.8× 16 0.4× 25 347
Pascal Turberg Switzerland 13 77 0.7× 84 0.9× 45 0.5× 103 1.4× 33 0.8× 26 496
David Rosebery France 8 62 0.6× 122 1.3× 93 1.1× 27 0.4× 54 1.3× 13 356
Márcio de Morisson Valeriano Brazil 14 66 0.6× 131 1.4× 184 2.1× 85 1.2× 73 1.7× 38 494
Ben Cook United States 4 100 1.0× 69 0.8× 22 0.3× 211 2.9× 47 1.1× 7 396
Raimundo Almeida-Filho Brazil 14 89 0.9× 204 2.2× 181 2.1× 143 2.0× 60 1.4× 32 610
Martin Boettcher Germany 9 129 1.3× 178 2.0× 99 1.1× 355 4.9× 36 0.9× 28 534

Countries citing papers authored by Mathieu Gravey

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Gravey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Gravey

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Gravey. A scholar is included among the top collaborators of Mathieu Gravey 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 Mathieu Gravey. Mathieu Gravey 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.
Fu, Sheng, S.M. de Jong, Wiebe Nijland, et al.. (2025). Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide. International Journal of Applied Earth Observation and Geoinformation. 140. 104613–104613.
2.
Gravey, Mathieu, et al.. (2024). Reconstruction of Missing GPR Data Using Multiple-Point Statistical Simulation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 2 indexed citations
3.
Gravey, Mathieu, et al.. (2024). Reconstruction of High-Resolution 3D GPR Data from 2D Profiles: A Multiple-Point Statistical Approach. Remote Sensing. 16(12). 2084–2084. 1 indexed citations
5.
Karsanina, Marina V., et al.. (2024). Evaluation of classical correlation functions from 2/3D images on CPU and GPU architectures: Introducing CorrelationFunctions.jl. Computer Physics Communications. 299. 109134–109134. 4 indexed citations
6.
Nussbaumer, Raphaël, Mathieu Gravey, Martins Briedis, Félix Liechti, & Daniel Sheldon. (2023). Reconstructing bird trajectories from pressure and wind data using a highly optimized hidden Markov model. Methods in Ecology and Evolution. 14(4). 1118–1129. 12 indexed citations
7.
Gravey, Mathieu, et al.. (2023). Predicting Continental Scale Malaria With Land Surface Water Predictors Based on Malaria Dispersal Mechanisms and High‐Resolution Earth Observation Data. GeoHealth. 7(10). e2023GH000811–e2023GH000811. 4 indexed citations
8.
Nussbaumer, Raphaël, Mathieu Gravey, Martins Briedis, & Félix Liechti. (2023). Global positioning with animal‐borne pressure sensors. Methods in Ecology and Evolution. 14(4). 1104–1117. 16 indexed citations
9.
Gravey, Mathieu & Grégoire Mariethoz. (2023). AutoQS v1: automatic parametrization of QuickSampling based on training images analysis. Geoscientific model development. 16(17). 5265–5279. 1 indexed citations
10.
Broennimann, Olivier, et al.. (2023). Snow cover persistence as a useful predictor of alpine plant distributions. Journal of Biogeography. 50(10). 1789–1802. 3 indexed citations
11.
Gravey, Mathieu, et al.. (2023). Predicting continental scale malaria with land surface water predictors based on malaria dispersal mechanisms and high-resolution earth observation data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
Cochard, Roland, et al.. (2023). The nature of a ‘forest transition’ in Thừa Thiên Huế Province, Central Vietnam – A study of land cover changes over five decades. Land Use Policy. 134. 106887–106887. 9 indexed citations
13.
Phelps, Leanne N., Niels Andela, Mathieu Gravey, et al.. (2022). Madagascar's fire regimes challenge global assumptions about landscape degradation. Global Change Biology. 28(23). 6944–6960. 26 indexed citations
14.
Rumpf, Sabine B., Mathieu Gravey, Miska Luoto, et al.. (2022). From white to green: Snow cover loss and increased vegetation productivity in the European Alps. Science. 376(6597). 1119–1122. 123 indexed citations breakdown →
15.
16.
Gravey, Mathieu & Grégoire Mariethoz. (2020). QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach. Geoscientific model development. 13(6). 2611–2630. 51 indexed citations
17.
Gravey, Mathieu & Grégoire Mariethoz. (2019). Quantile Sampling: a robust and simplified pixel-based multiple-point simulation approach. 3 indexed citations
18.
Benoît, Lionel, Mathieu Gravey, Benjamin Lehmann, et al.. (2019). A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys. Earth system science data. 11(2). 579–588. 40 indexed citations
19.
Gravey, Mathieu, et al.. (2018). Analogue-based colorization of remote sensing images using textural information. ISPRS Journal of Photogrammetry and Remote Sensing. 147. 242–254. 14 indexed citations
20.
Nussbaumer, Raphaël, Grégoire Mariethoz, Mathieu Gravey, Erwan Gloaguen, & Klaus Holliger. (2017). Accelerating Sequential Gaussian Simulation with a constant path. Computers & Geosciences. 112. 121–132. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026