Mathieu Gravey

690 citations
23 papers · 348 indexed · 1 hit paper · h-index 10

Impact in

Papers in

Mathieu Gravey

21 papers receiving 343 citations

Hit Papers

From white to green: Snow cover loss and increased vegetation productivity in the European Alps 2022 · 123 citations
12320222026202320244080120

Peers

Mathieu Gravey
Comparison fields: 5 of 73
  • Ecological Modeling 42
  • Environmental Engineering 88
  • Atmospheric Science 103
  • Ecology 91
  • Nature and Landscape Conservation 42
Replace Samantha T. Arundel with:
Samantha T. Arundel United States
Natalie Robinson United States
Melanie Brandmeier Germany
Xueli Chang China
Y. V. N. Krishna Murthy India
Márcio de Morisson Valeriano Brazil
José María García-Valdecasas Spain
Hammadi Achour Tunisia
Cristina Toledano France
William J. Carswell United States
Mathieu Gravey relative to Samantha T. Arundel United States Samantha T. Arundel's profile →
Citations per field
00.5×
Samantha T. Arundel · 1×
Citations per year

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 23 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 →
2022123
2 202051
3 201940
4 202226
5 201719
6 202316
7 201915
8 201814
9 202312
10 20239
11 20234
12 20244
13 20193
14 20233
15 20242
16 20252
17 20241
18 20231
19 20211
20 20231

About Mathieu Gravey

Mathieu Gravey is a scholar working on Environmental Engineering, Ecological Modeling, Atmospheric Science, Global and Planetary Change and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 348 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (5 papers), Cryospheric studies and observations (4 papers), Species Distribution and Climate Change (4 papers), Remote Sensing and LiDAR Applications (4 papers), Avian ecology and behavior (3 papers), 3D Modeling in Geospatial Applications (3 papers), Soil and Unsaturated Flow (2 papers) and Soil Moisture and Remote Sensing (2 papers). The work is most often cited by research in Ecological Modeling (42 citations), Environmental Engineering (88 citations), Atmospheric Science (103 citations), Ecology (91 citations) and Nature and Landscape Conservation (42 citations). Mathieu Gravey has collaborated with scholars based in Switzerland, Austria and Netherlands. Frequent co-authors include Grégoire Mariethoz, Sabine B. Rumpf, Carmen Cianfrani, Antoine Guisan, Miska Luoto, Raphaël Nussbaumer, Martins Briedis, Christian A. Kull, Félix Liechti and Lionel Benoît. Their work appears in journals such as Geoscientific model development, Remote Sensing, Methods in Ecology and Evolution, Computer Physics Communications and Computers & Geosciences.

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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