Mathieu Gravey

21 papers receiving 372 citations

Mathieu Gravey's Hit Papers

From white to green: Snow cover loss and increased vegetation productivity in the European Alps 2022 · 136 citations
1360+1+2Years since publication4080120

Peers

Mathieu Gravey
Comparison fields: 5 of 72
  • Ecological Modeling 42
  • Environmental Engineering 92
  • Atmospheric Science 109
  • Ecology 94
  • Nature and Landscape Conservation 43
Replace Samantha T. Arundel with:
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Natalie Robinson United States
Xueli Chang China
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Márcio de Morisson Valeriano Brazil
Franck Ranera Italy
José María García-Valdecasas Spain
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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-authors

The 25 scholars most cited alongside Mathieu Gravey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Gravey Line = papers co-authored together Mathieu Gravey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
From white to green: Snow cover loss and increased vegetation productivity in the European Alps
Hit paper breakdown →
2022136
2 202052
3 201940
4 202228
5 201720
6 202318
7 201815
8 201915
9 202313
10 202310
11 20235
12 20234
13 20244
14 20193
15 20243
16 20242
17 20252
18 20231
19 20211
20 20231

About Mathieu Gravey

Mathieu Gravey is a scholar working on Environmental Engineering, Atmospheric Science, Ecological Modeling, Global and Planetary Change and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 374 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (5 papers), Species Distribution and Climate Change (4 papers), Remote Sensing and LiDAR Applications (4 papers), Cryospheric studies and observations (4 papers), Avian ecology and behavior (3 papers), 3D Modeling in Geospatial Applications (3 papers), Tree-ring climate responses (2 papers) and Soil and Unsaturated Flow (2 papers). The work is most often cited by research in Ecological Modeling (42 citations), Environmental Engineering (92 citations), Atmospheric Science (109 citations), Ecology (94 citations) and Nature and Landscape Conservation (43 citations). Mathieu Gravey has collaborated with scholars based in Switzerland, Austria and Netherlands. Frequent co-authors include Grégoire Mariethoz, Antoine Guisan, Sabine B. Rumpf, Carmen Cianfrani, Miska Luoto, Raphaël Nussbaumer, Félix Liechti, Martins Briedis, Christian A. Kull and Niels Andela. Their work appears in journals such as Methods in Ecology and Evolution, Geoscientific model development, International Journal of Applied Earth Observation and Geoinformation, Remote Sensing and Earth system science data.

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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