Mathieu Fauvel

153 total papers · 2.1k total citations
32 papers, 1.4k citations indexed

About

Mathieu Fauvel is a scholar working on Media Technology, Ecology and Atmospheric Science. According to data from OpenAlex, Mathieu Fauvel has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Media Technology, 16 papers in Ecology and 13 papers in Atmospheric Science. Recurrent topics in Mathieu Fauvel's work include Remote-Sensing Image Classification (17 papers), Remote Sensing in Agriculture (16 papers) and Remote Sensing and Land Use (13 papers). Mathieu Fauvel is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Remote Sensing in Agriculture (16 papers) and Remote Sensing and Land Use (13 papers). Mathieu Fauvel collaborates with scholars based in France, Iceland and Portugal. Mathieu Fauvel's co-authors include Jón Atli Benediktsson, Jóhannes R. Sveinsson, Maïlys Lopes, Nicolas Dobigeon, David Sheeren, Stéphane Girard, Pedram Ghamisi, Micael S. Couceiro, Jean-François Dejoux and Manuel Grizonnet and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Mathieu Fauvel

30 papers receiving 1.4k citations

Hit Papers

Spectral and Spatial Clas... 2008 2026 2014 2020 2008 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mathieu Fauvel 1.0k 729 426 254 192 32 1.4k
J. Faust 831 0.8× 463 0.6× 435 1.0× 246 1.0× 200 1.0× 22 1.6k
Charles M. Sarture 890 0.9× 535 0.7× 486 1.1× 256 1.0× 213 1.1× 25 1.8k
Javier Calpe‐Maravilla 1.2k 1.2× 866 1.2× 401 0.9× 358 1.4× 122 0.6× 34 1.8k
C. Chovit 819 0.8× 452 0.6× 427 1.0× 237 0.9× 187 1.0× 12 1.5k
Luyan Ji 766 0.8× 531 0.7× 253 0.6× 229 0.9× 113 0.6× 75 1.2k
Maciel Zortea 587 0.6× 356 0.5× 402 0.9× 162 0.6× 280 1.5× 46 1.2k
Michal Shimoni 807 0.8× 333 0.5× 312 0.7× 329 1.3× 317 1.7× 66 1.5k
Nicola Falco 731 0.7× 635 0.9× 341 0.8× 205 0.8× 212 1.1× 63 1.4k
Charles M. Bachmann 662 0.7× 331 0.5× 412 1.0× 291 1.1× 257 1.3× 88 1.3k
Raffaele Gaetano 820 0.8× 354 0.5× 778 1.8× 357 1.4× 385 2.0× 63 1.7k

Countries citing papers authored by Mathieu Fauvel

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Fauvel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Fauvel

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

All Works

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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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