Marie Chabert

1.8k total citations
68 papers, 1.2k citations indexed

About

Marie Chabert is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Marie Chabert has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 15 papers in Control and Systems Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Marie Chabert's work include Image and Signal Denoising Methods (19 papers), Remote-Sensing Image Classification (12 papers) and Fault Detection and Control Systems (10 papers). Marie Chabert is often cited by papers focused on Image and Signal Denoising Methods (19 papers), Remote-Sensing Image Classification (12 papers) and Fault Detection and Control Systems (10 papers). Marie Chabert collaborates with scholars based in France, United States and Brazil. Marie Chabert's co-authors include Jean Faucher, Martin Blödt, Reza Shirvany, Jean-Yves Tourneret, Jean‐Yves Tourneret, Alain Giros, Frédéric Pascal, Nicolas Dobigeon, Qi Wei and Vincent Charvillat and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Transactions on Industrial Electronics.

In The Last Decade

Marie Chabert

65 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie Chabert France 16 426 298 266 220 179 68 1.2k
Samarjit Sengupta India 21 353 0.8× 243 0.8× 105 0.4× 90 0.4× 457 2.6× 109 1.5k
Yan He China 19 48 0.1× 68 0.2× 139 0.5× 136 0.6× 193 1.1× 114 1.2k
Dehong Liu United States 19 138 0.3× 68 0.2× 84 0.3× 134 0.6× 348 1.9× 85 1.2k
Shi Liu China 23 135 0.3× 28 0.1× 414 1.6× 161 0.7× 635 3.5× 156 1.7k
Bo Peng China 16 100 0.2× 74 0.2× 55 0.2× 76 0.3× 150 0.8× 89 766
Ting Lu China 20 57 0.1× 1.4k 4.7× 69 0.3× 635 2.9× 73 0.4× 97 2.2k
Zhen Dong China 19 52 0.1× 53 0.2× 56 0.2× 229 1.0× 105 0.6× 217 1.5k
Kunde Yang China 24 91 0.2× 32 0.1× 44 0.2× 130 0.6× 460 2.6× 285 2.4k
Craig Underwood United Kingdom 22 244 0.6× 35 0.1× 147 0.6× 71 0.3× 555 3.1× 156 1.9k

Countries citing papers authored by Marie Chabert

Since Specialization
Citations

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

Fields of papers citing papers by Marie Chabert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Chabert

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Chabert. A scholar is included among the top collaborators of Marie Chabert 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 Marie Chabert. Marie Chabert 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.
Chabert, Marie, et al.. (2025). Variational Bayes Image Restoration With Compressive Autoencoders. IEEE Transactions on Image Processing. 34. 2896–2909.
2.
Dobigeon, Nicolas, et al.. (2024). CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors. Information Fusion. 107. 102313–102313. 8 indexed citations
3.
Chabert, Marie, et al.. (2022). Satellite Image Compression and Denoising With Neural Networks. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 31 indexed citations
4.
Canale, Laurent, et al.. (2019). Modeling the Luminance Degradation of OLEDs Using Design of Experiments. IEEE Transactions on Industry Applications. 55(6). 6548–6558. 11 indexed citations
5.
Dobigeon, Nicolas, et al.. (2017). Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: A Fusion-Based Approach. IEEE Transactions on Geoscience and Remote Sensing. 56(3). 1566–1578. 49 indexed citations
6.
Chabert, Marie, et al.. (2016). A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images. SIAM Journal on Imaging Sciences. 9(4). 1889–1921. 11 indexed citations
7.
Shirvany, Reza, Marie Chabert, & Jean-Yves Tourneret. (2012). Ship and Oil-Spill Detection Using the Degree of Polarization in Linear and Hybrid/Compact Dual-Pol SAR. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(3). 885–892. 193 indexed citations
8.
Orović, Irena, Srdjan Stanković, Bijan G. Mobasseri, & Marie Chabert. (2011). A robust image watermarking procedure by using the Hermite projection method. 89–92. 1 indexed citations
9.
Shirvany, Reza, Marie Chabert, & Jean‐Yves Tourneret. (2011). Comparison of ship detection performance based on the degree of polarization in hybrid/compact and linear dual-pol SAR imagery. 3550–3553. 7 indexed citations
10.
Mailhes, Corinne, et al.. (2011). Flight Parameter Estimation for Augmented Flight Control System Autonomy. SAE technical papers on CD-ROM/SAE technical paper series. 1.
11.
Chabert, Marie, et al.. (2010). Maximum-likelihood estimation of the polarization degree from two multi-look intensity images. 12. 1198–1201. 3 indexed citations
12.
Lacaze, B. & Marie Chabert. (2008). Theoretical spectrum of noisy optical pulse trains. Applied Optics. 47(18). 3231–3231. 1 indexed citations
13.
Martin, Vincent, Marie Chabert, & B. Lacaze. (2006). Substitutive watermarking algorithms based on interpolation. European Signal Processing Conference. 1–5. 1 indexed citations
14.
Martin, Vincent, Marie Chabert, & B. Lacaze. (2005). Single And Multiple Spread Spectrum Watermarking Based On Periodic Clock Changes. Zenodo (CERN European Organization for Nuclear Research). 1–4. 1 indexed citations
15.
Chabert, Marie, Jean‐Yves Tourneret, & M. Coulon. (2003). Joint detection of variance changes using hierarchical Bayesian analysis. 3 indexed citations
16.
Morucci, J.P., et al.. (2002). Direct sensitivity matrix approach for fast 3-D reconstruction in electrical impedance imaging. 6. 538–539. 1 indexed citations
17.
Chabert, Marie, Jean‐Yves Tourneret, & F. Castanié. (2000). Time-scale analysis of abrupt changes corrupted by multiplicative noise. Signal Processing. 80(3). 397–411. 6 indexed citations
18.
Chartier, M., G. Auger, W. Mittig, et al.. (1996). Mass Measurement of100Sn. Physical Review Letters. 77(12). 2400–2403. 53 indexed citations
19.
Chartier, M., G. Auger, W. Mittig, et al.. (1995). Mass measurement of secondary ions of A=100 in the vicinity of 100Sn using the second cyclotron of GANIL. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
20.
Morucci, J.P., et al.. (1995). 3D reconstruction in electrical impedance imaging using a direct sensitivity matrix approach. Physiological Measurement. 16(3A). A123–A128. 17 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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