Mathieu Fauvel

6.1k total citations · 4 hit papers
24 papers, 4.8k citations indexed

About

Mathieu Fauvel is a scholar working on Media Technology, Atmospheric Science and Ecology. According to data from OpenAlex, Mathieu Fauvel has authored 24 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Media Technology, 14 papers in Atmospheric Science and 8 papers in Ecology. Recurrent topics in Mathieu Fauvel's work include Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (14 papers) and Remote Sensing in Agriculture (8 papers). Mathieu Fauvel is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (14 papers) and Remote Sensing in Agriculture (8 papers). Mathieu Fauvel collaborates with scholars based in France, Iceland and United States. Mathieu Fauvel's co-authors include Jón Atli Benediktsson, Jocelyn Chanussot, Yuliya Tarabalka, James C. Tilton, J. Chanussot, Jóhannes R. Sveinsson, Paolo Gamba, Jason Brazile, Antonio Plaza and Joseph W. Boardman and has published in prestigious journals such as Remote Sensing of Environment, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mathieu Fauvel

24 papers receiving 4.7k citations

Hit Papers

Recent advances in techniques for hyperspectral image pro... 2007 2026 2013 2019 2009 2012 2007 2010 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recent advances in techniques for hyperspectral image processing
    2009 1.3k citations Antonio Plaza, Jón Atli Benediktsson et al. Remote Sensing of Environment profile →
  2. Advances in Spectral-Spatial Classification of Hyperspectral Images
    2012 1.0k citations Mathieu Fauvel, Yuliya Tarabalka et al. profile →
  3. Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
    2007 769 citations Mathieu Fauvel, Jocelyn Chanussot et al. profile →
  4. SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images
    2010 629 citations Yuliya Tarabalka, Mathieu Fauvel et al. IEEE Geoscience and Remote Sensing Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Fauvel France 16 4.2k 2.9k 1.2k 910 513 24 4.8k
Farid Melgani Italy 10 3.0k 0.7× 2.0k 0.7× 917 0.8× 872 1.0× 363 0.7× 15 3.9k
Yuliya Tarabalka France 23 3.9k 0.9× 2.4k 0.8× 1.5k 1.3× 975 1.1× 380 0.7× 55 5.3k
Juan M. Haut Spain 32 3.9k 0.9× 2.1k 0.7× 1.7k 1.4× 584 0.6× 372 0.7× 100 5.0k
Mercedes E. Paoletti Spain 32 3.8k 0.9× 2.0k 0.7× 1.8k 1.4× 569 0.6× 358 0.7× 98 4.8k
Yanfeng Gu China 31 4.3k 1.0× 2.5k 0.9× 2.2k 1.8× 755 0.8× 275 0.5× 204 6.2k
James C. Tilton United States 23 3.0k 0.7× 2.0k 0.7× 1.2k 1.0× 1.0k 1.1× 318 0.6× 94 4.4k
Sen Jia China 37 4.0k 0.9× 2.3k 0.8× 1.7k 1.4× 433 0.5× 351 0.7× 127 5.1k
J. Chanussot France 16 2.8k 0.6× 1.8k 0.6× 849 0.7× 548 0.6× 270 0.5× 30 3.2k
Hongjun Su China 30 2.8k 0.7× 1.7k 0.6× 1.2k 1.0× 360 0.4× 221 0.4× 145 3.9k
Jiangtao Peng China 38 3.1k 0.7× 1.6k 0.5× 1.2k 1.0× 339 0.4× 398 0.8× 168 4.7k

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

20 of 20 papers shown
1.
Lebrun, Sylvie, et al.. (2024). Design of composite optical nanofibers for new all-solid-state Raman wavelength converters. Journal of the European Optical Society Rapid Publications. 20(2). 37–37. 1 indexed citations
2.
Divay, Laurent, et al.. (2024). Study of composite optical nanofibers for 2nd and 3rd order nonlinearities. NpTu2E.3–NpTu2E.3. 1 indexed citations
3.
Ferraty, Frédéric, et al.. (2017). Nonparametric regression on contaminated functional predictor with application to hyperspectral data. Econometrics and Statistics. 9. 95–107. 4 indexed citations
4.
Fauvel, Mathieu, et al.. (2017). Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image. Journal of Applied Statistics. 45(12). 2219–2237. 4 indexed citations
5.
Fauvel, Mathieu, Charles Bouveyron, & Stéphane Girard. (2015). Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 12(12). 2423–2427. 3 indexed citations
6.
Bouveyron, Charles, Mathieu Fauvel, & Stéphane Girard. (2014). Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Statistics and Computing. 25(6). 1143–1162. 8 indexed citations
7.
Flamary, Rémi, Mathieu Fauvel, Mauro Dalla Mura, & Silvia Valero. (2014). Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series. IEEE Geoscience and Remote Sensing Letters. 12(5). 953–957. 17 indexed citations
8.
Fauvel, Mathieu, et al.. (2012). Detection of Hedges in a Rural Landscape Using a Local Orientation Feature: From Linear Opening to Path Opening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(1). 15–26. 16 indexed citations
9.
Fauvel, Mathieu, J. Chanussot, Jón Atli Benediktsson, & Alberto Villa. (2012). Parsimonious Mahalanobis kernel for the classification of high dimensional data. Pattern Recognition. 46(3). 845–854. 22 indexed citations
10.
Fauvel, Mathieu, J. Chanussot, & Jón Atli Benediktsson. (2011). A spatial–spectral kernel-based approach for the classification of remote-sensing images. Pattern Recognition. 45(1). 381–392. 228 indexed citations
11.
Tarabalka, Yuliya, Mathieu Fauvel, Jocelyn Chanussot, & Jón Atli Benediktsson. (2010). SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters. 7(4). 736–740. 629 indexed citations breakdown →
12.
Fauvel, Mathieu, Jocelyn Chanussot, & Jón Atli Benediktsson. (2009). Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas. EURASIP Journal on Advances in Signal Processing. 2009(1). 211 indexed citations
13.
Plaza, Antonio, Jón Atli Benediktsson, Joseph W. Boardman, et al.. (2009). Recent advances in techniques for hyperspectral image processing. Remote Sensing of Environment. 113. S110–S122. 1305 indexed citations breakdown →
14.
Villa, Alberto, Mathieu Fauvel, Jocelyn Chanussot, Paolo Gamba, & Jón Atli Benediktsson. (2008). Gradient Optimization for multiple kernel's parameters in support vector machines classification. IV – 224. 23 indexed citations
15.
Tarabalka, Yuliya, Jocelyn Chanussot, Jón Atli Benediktsson, Jesús Angulo, & Mathieu Fauvel. (2008). Segmentation and Classification of Hyperspectral Data using Watershed. HAL (Le Centre pour la Communication Scientifique Directe). 54 indexed citations
16.
Fauvel, Mathieu, Jocelyn Chanussot, Jón Atli Benediktsson, & Jóhannes R. Sveinsson. (2007). Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles. 4834–4837. 769 indexed citations breakdown →
17.
Fauvel, Mathieu, Jocelyn Chanussot, & Jón Atli Benediktsson. (2006). Kernel Principal Component Analysis for Feature Reduction in Hyperspectrale Images Analysis. 238–241. 52 indexed citations
18.
Fauvel, Mathieu, Jocelyn Chanussot, & Jón Atli Benediktsson. (2006). Decision Fusion for the Classification of Urban Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 44(10). 2828–2838. 184 indexed citations
19.
Fauvel, Mathieu, Jocelyn Chanussot, & Jón Atli Benediktsson. (2006). Evaluation of Kernels for Multiclass Classification of Hyperspectral Remote Sensing Data. 2. II–813. 83 indexed citations
20.
Fauvel, Mathieu, J.A. Palmason, Jón Atli Benediktsson, Jocelyn Chanussot, & Jóhannes R. Sveinsson. (2005). Classification of remote sensing imagery with high spatial resolution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5982. 598201–598201. 4 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.

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