Y. Moudden

2.6k citations

34 papers · 862 indexed · h-index 13

Impact in

Computer Vision and Pattern Recognition top 2%
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Image Enhancement Techniques
Signal Processing top 5%
- Blind Source Separation Techniques
- Speech and Audio Processing

Papers in

Signal Processing 17
- Blind Source Separation Techniques 15
- Speech and Audio Processing 3
Computer Vision and Pattern Recognition 18
- Image and Signal Denoising Methods 18
- Medical Image Segmentation Techniques 3

Co-authors: Jean‐Luc Starck J. Bobin Jalal Fadili David L. Donoho Michael Elad G. Fleury Abd‐Krim Seghouane N. Aghanim
Journals: IEEE Transactions on Image Processing (3 papers)Astronomy and Astrophysics (3 papers)IEEE Transactions on Nuclear Science (2 papers)Journal of Fourier Analysis and Applications (1 paper)Journal of Mathematical Imaging and Vision (1 paper)
Partner nations: France United States Netherlands

In The Last Decade

Y. Moudden

32 papers receiving 810 citations

Peers

Countries citing papers authored by Y. Moudden

Since Specialization

Citations

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

Fields of papers citing papers by Y. Moudden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Y. Moudden, 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 Y. Moudden Line = papers co-authored together Y. Moudden links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	The Data Acquisition System of WEST’s New Thomson Scattering Diagnostics IEEE Transactions on Nuclear Science ·C C Chen, Y. Moudden, E. Delagnes, 真理子生井, Kimen M. Colgan, B. Frey, T Sato, N. Fedorczak, Karanveer Johal, Patrick Hellmuth, R. Sabot, L. Schiesko, E. A. PEMRUSHKINA	2024	0
2	Stress testing Ethernet Switches for NectarCAM in the Cherenkov Telescope Array with a synchronous UDP frame generator Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015) ·D. Hoffmann, Evgenia N. Mironova, Julien Houles, M. Bürgy, Y. Moudden, B.K. Wallin, P. Sizun	2016	2
3	iSAP: Interactive Sparse Astronomical Data Analysis Packages Astrophysics Source Code Library ·Jean‐Luc Starck, J. Bobin, Dian Parama Artha, 杨育文, Birgit Kjellstrom, Y. Moudden, ADITYA MEHROTRA	2013	2
4	First evidence of a gravitational lensing-induced echo in gamma rays withFermiLAT Astronomy and Astrophysics ·A. Barnacka, J. F. Glicenstein, Y. Moudden	2011	19
5	The Level 2 Trigger of the H.E.S.S. 28 Meter Cherenkov Telescope IEEE Transactions on Nuclear Science ·Y. Moudden, Philippe Venault, A. Barnacka, D. Calvet, J. F. Glicenstein, M. Vivier	2011	2
6	Hyperspectral BSS Using GMCA With Spatio-Spectral Sparsity Constraints IEEE Transactions on Image Processing ·Y. Moudden, J. Bobin	2010	12
7	Image Decomposition and Separation Using Sparse Representations: An Overview This overview paper points out that signal and image processing, as well as many other important areas of engineering, can benefit from the techniques it discusses. M.J. Fadili, Jean‐Luc Starck, J. Bobin, Y. Moudden	2010	1
8	Polarized wavelets and curvelets on the sphere Astronomy and Astrophysics ·Jean‐Luc Starck, Y. Moudden, J. Bobin	2009	8
9	Sparsity and morphological diversity for hyperspectral data analysis J. Bobin, Y. Moudden, Jean‐Luc Starck, Jalal Fadili	2009	2
10	Sparsity and Morphological Diversity in Blind Source Separation IEEE Transactions on Image Processing ·J. Bobin, Jean‐Luc Starck, Jalal Fadili, Y. Moudden	2007	133
11	Morphological Component Analysis and Inpainting on the Sphere: Application in Physics and Astrophysics Journal of Fourier Analysis and Applications ·D. Ghadiriyan, Y. Moudden, Jean‐Luc Starck, Bedros Afeyan, J. Bobin, Jalal Fadili, XieKe-Qin	2007	32
12	Morphological Component Analysis: An Adaptive Thresholding Strategy IEEE Transactions on Image Processing ·J. Bobin, Jean‐Luc Starck, Jalal Fadili, Y. Moudden, David L. Donoho	2007	210
13	SZ and CMB reconstruction using generalized morphological component analysis Statistical Methodology ·J. Bobin, Y. Moudden, Jean‐Luc Starck, Jalal Fadili, N. Aghanim	2007	38
14	Sunyaev-Zel'dovich cluster reconstruction in multiband bolometer camera surveys Astronomy and Astrophysics ·S. Pires, J. B. Juin, D. Yvon, Y. Moudden, Pandey Priyansh, E. Pierpaoli	2006	16
15	Enhanced Source Separation by Morphological Component Analysis J. Bobin, Y. Moudden, Jean‐Luc Starck	2006	7
16	Morphological component analysis Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Jean‐Luc Starck, Y. Moudden, J. Bobin, Michael Elad, David L. Donoho	2005	82
17	Wavelets, ridgelets, curvelets on the sphere, and applications Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Y. Moudden, D. Ghadiriyan, Jean‐Luc Starck	2005	1
18	Blind Component Separation in Wavelet Space: Application to CMB Analysis EURASIP Journal on Advances in Signal Processing ·Y. Moudden, J.-F. Cardoso, Jean‐Luc Starck, G. de Zotti	2005	26
19	Regularizing the effect of input noise injection in feedforward neural networks training Neural Computing and Applications ·Abd‐Krim Seghouane, Y. Moudden, G. Fleury	2004	13
20	Real time Continuous AR parameter estimation from randomly sampled observations IEEE International Conference on Acoustics Speech and Signal Processing ·S. Muhammed Nowfal, Y. Moudden, G. Fleury	2002	7

About Y. Moudden

Y. Moudden is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Analytical Chemistry, Media Technology and Nuclear and High Energy Physics, having authored 34 papers that have together received 862 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (18 papers), Blind Source Separation Techniques (15 papers), Spectroscopy and Chemometric Analyses (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Particle Detector Development and Performance (4 papers), Speech and Audio Processing (3 papers), Medical Image Segmentation Techniques (3 papers) and Fractal and DNA sequence analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Signal Processing (224 citations), Media Technology (124 citations), Computational Mechanics (196 citations) and Computational Mathematics (5 citations). Y. Moudden has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Jean‐Luc Starck, J. Bobin, Jalal Fadili, David L. Donoho, Michael Elad, G. Fleury, Abd‐Krim Seghouane, N. Aghanim, A. Barnacka and J.-F. Cardoso. Their work appears in journals such as IEEE Transactions on Image Processing, Astronomy and Astrophysics, IEEE Transactions on Nuclear Science, Journal of Fourier Analysis and Applications and Journal of Mathematical Imaging and Vision.

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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