Mathieu Fauvel

6.1k citations
24 papers · 4.8k indexed · 4 hit papers · h-index 16

Mathieu Fauvel

24 papers receiving 4.7k citations

Hit Papers

Recent advances in techniques for hyperspectral image pro...200720262013201920092012200720104008001.2k

Peers

Mathieu Fauvel
Comparison fields: 5 of 112
  • Media Technology 4.2k
  • Atmospheric Science 2.9k
  • Computer Vision and Pattern Recognition 1.2k
  • Ecology 910
  • Analytical Chemistry 513
Replace Farid Melgani with:
Farid Melgani Italy
James C. Tilton United States
Juan M. Haut Spain
Mercedes E. Paoletti Spain
J. Chanussot France
Yanfeng Gu China
Yuliya Tarabalka France
Sen Jia China
Hongjun Su China
N. Keshava United States
Mathieu Fauvel relative to Farid Melgani Italy Farid Melgani's profile →
Citations per field
00.5×1.5×2.0×
Farid Melgani · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 3
5 8
6 17
7 16
8 22
9 228
10
SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Imagesbreakdown →
629
11
Recent advances in techniques for hyperspectral image processingbreakdown →
1305
12 211
13 23
14 54
15
Spectral and spatial classification of hyperspectral data using SVMs and morphological profilesbreakdown →
769
16 8
17 52
18 184
19 83
20 4

About Mathieu Fauvel

Mathieu Fauvel is a scholar working on Media Technology, Analytical Chemistry and Atmospheric Science, having authored 24 papers that have together received 4.8k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (14 papers) and Remote Sensing in Agriculture (8 papers). The work is most often cited by research in Media Technology (4.2k citations), Atmospheric Science (2.9k citations) and Computer Vision and Pattern Recognition (1.2k citations). Mathieu Fauvel has collaborated with scholars based in France, Iceland and United States. Frequent co-authors include Jón Atli Benediktsson, Jocelyn Chanussot, Yuliya Tarabalka, James C. Tilton, J. Chanussot, Jóhannes R. Sveinsson, Paolo Gamba, Jason Brazile, Lorenzo Bruzzone and Antonio Plaza. Their work appears in journals such as Remote Sensing of Environment, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.

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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