World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
23174
World Ranking
2536
National Ranking
33

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2008 - IEEE Fellow For contributions in source separation and independent component analysis

Overview

Christian Jutten is affiliated with Grenoble Alpes University in France. Their research consists primarily in the field of Computer Science, with a concentration on Artificial Intelligence, Signal Processing, and Cognitive Neuroscience, alongside related areas such as Media Technology and Computer Vision and Pattern Recognition.

Their work encompasses several specific topics including Blind Source Separation Techniques, EEG and Brain-Computer Interfaces, Remote-Sensing Image Classification, Neural Networks and Applications, Image and Signal Denoising Methods, Neural dynamics and brain function, and Neuroscience and Neural Engineering.

Jutten has contributed to at least five recent papers which cover a range of signal processing and biomedical imaging issues:

  • Delve into Multiple Sclerosis (MS) lesion exploration: A modified attention U-Net for MS lesion segmentation in Brain MRI, 2022, Computers in Biology and Medicine
  • Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry, 2020, IEEE Transactions on Image Processing
  • Forward-backward filtering and penalized least-Squares optimization: A Unified framework, 2020, Signal Processing
  • Band-Stop Smoothing Filter Design, 2021, IEEE Transactions on Signal Processing
  • Dimensionality Transcending: A Method for Merging BCI Datasets With Different Dimensionalities, 2020, IEEE Transactions on Biomedical Engineering

Frequent co-authors in their publications include:

  • Athina P. Petropulu
  • Tülay Adalı
  • Marco Congedo
  • Andrea Marinoni
  • Marc Moonen

Jutten's research outputs have been published in several notable venues. These include:

  • IEEE Signal Processing Magazine (31 publications)
  • arXiv (Cornell University) (4 publications)
  • IEEE Transactions on Signal Processing (3 publications)
  • HAL (Le Centre pour la Communication Scientifique Directe) (3 publications)
  • IEEE Transactions on Image Processing (2 publications)

In recognition of their contributions to the field, Christian Jutten was named an IEEE Fellow in 2008 for work related to source separation and independent component analysis.

Best Publications

  • Blind separation of sources, Part 1: an adaptive algorithm based on neuromimetic architecture

    Christian Jutten;Jeanny Herault

  • Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

    Dana Lahat;Tulay Adali;Christian Jutten

  • A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed $ll ^{0}$ Norm

    H. Mohimani;M. Babaie-Zadeh;C. Jutten

  • OP-ELM: Optimally Pruned Extreme Learning Machine

    Yoan Miche;A. Sorjamaa;P. Bas;O. Simula

  • Multiclass Brain–Computer Interface Classification by Riemannian Geometry

    A. Barachant;S. Bonnet;M. Congedo;C. Jutten

  • A Nonlinear Bayesian Filtering Framework for ECG Denoising

    R. Sameni;M.B. Shamsollahi;C. Jutten;G.D. Clifford

  • Blind separation of sources, Part II: problems statement

    Pierre Comon;Christian Jutten;Jeanny Herault

  • Source separation in post-nonlinear mixtures

    A. Taleb;C. Jutten

  • Classification of covariance matrices using a Riemannian-based kernel for BCI applications

    Alexandre Barachant;StéPhane Bonnet;Marco Congedo;Christian Jutten

  • Hyperspectral Image Classification With Independent Component Discriminant Analysis

    A. Villa;J. A. Benediktsson;J. Chanussot;C. Jutten

  • Blind source separation for convolutive mixtures

    Hoang-Lan Nguyen Thi;Christian Jutten

  • Neural networks in geophysical applications

    Mirko van der Baan;Christian Jutten

  • Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces

    Paolo Zanini;Marco Congedo;Christian Jutten;Salem Said

  • Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis

    R. Sameni;C. Jutten;M.B. Shamsollahi

  • Riemannian geometry applied to BCI classification

    Alexandre Barachant;Stéphane Bonnet;Marco Congedo;Christian Jutten

  • Advances in Nonlinear Blind Source Separation

    Christian Jutten;Juha Karhunen

  • Multichannel ECG and noise modeling: application to maternal and fetal ECG signals

    Reza Sameni;Gari D. Clifford;Christian Jutten;Mohammad B. Shamsollahi

  • Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

    Ricardo Augusto Borsoi;Tales Imbiriba;José Carlos Moreira Bermudez;Cédric Richard

  • Spectral Unmixing for the Classification of Hyperspectral Images at a Finer Spatial Resolution

    Alberto Villa;Jocelyn Chanussot;Jón Atli Benediktsson;Christian Jutten

  • Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces

    Pedro Luiz Coelho Rodrigues;Christian Jutten;Marco Congedo

  • Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability

    Lucas Drumetz;Miguel-Angel Veganzones;Simon Henrot;Ronald Phlypo

  • Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects This paper provides an overview of the main challenges in multimodal data fusion acrossvariousdisciplinesandaddressestwokeyissues:''whyweneeddatafusion''and ''how we perform it.''

    Dana Lahat;Tulay Adali;Christian Jutten

  • Hyperspectral Image Classification With Independent

    Alberto Villa;Jón Atli Benediktsson;Jocelyn Chanussot;Christian Jutten

Frequent Co-Authors

Marco Congedo
Marco Congedo Centre national de la recherche scientifique, CNRS
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Laurent Girin
Laurent Girin Grenoble Institute of Technology
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh University of Tehran
Pierre Comon
Pierre Comon Grenoble Alpes University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Jean-Luc Schwartz
Jean-Luc Schwartz Centre national de la recherche scientifique, CNRS
Jonathon A. Chambers
Jonathon A. Chambers Harbin Engineering University
Amaury Lendasse
Amaury Lendasse University of Houston
Michel Verleysen
Michel Verleysen Université Catholique de Louvain

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