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

D-Index & Metrics

Computer Science

D-Index
56
Citations
26910
World Ranking
3943
National Ranking
76

Mathematics

D-Index
54
Citations
23471
World Ranking
809
National Ranking
39

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
  • 2019 - SIAM Fellow For pioneering and groundbreaking contributions to signal processing, tensor decompositions, and was instrumental in creating independent component analysis.
  • 2007 - IEEE Fellow For contributions to high-order statistics and blind techniques for signal processing

Overview

Pierre Comon is affiliated with Grenoble Alpes University in France. Their research spans the intersection of Mathematics, Computer Science, and Engineering, with a focus on specialized subfields such as Computational Mathematics, Computational Mechanics, Statistics and Probability, Computer Vision and Pattern Recognition, and Signal Processing.

The scientist's research topics primarily address tensor decomposition and applications, sparse and compressive sensing techniques, blind source separation techniques, image and signal denoising methods, matrix theory and algorithms, advanced neuroimaging techniques and applications, and advanced chemical sensor technologies.

Recent publications by Pierre Comon include the following papers:

  • Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms, 2020, IEEE Transactions on Signal Processing
  • Reliable chiral recognition with an optoelectronic nose, 2020, Biosensors and Bioelectronics
  • Alternating Group Lasso for Block-Term Tensor Decomposition and Application to ECG Source Separation, 2020, IEEE Transactions on Signal Processing
  • Tensor methods for multisensor signal processing, 2020, IET Signal Processing
  • Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms, 2020, SIAM Journal on Optimization

Frequent collaborators include Konstantin Usevich, David Brie, Pierre Maho, Cyril Herrier, and Thierry Livache.

Pierre Comon's work has been published in various venues, including:

  • Signal Processing
  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Biosensors and Bioelectronics

The scientist has been recognized as an IEEE Fellow in 2007 for contributions to high-order statistics and blind techniques for signal processing.

In 2019, Pierre Comon was named a SIAM Fellow for pioneering contributions to signal processing, tensor decompositions, and independent component analysis.

Best Publications

  • Independent component analysis, a new concept?

    Pierre Comon

  • Handbook of Blind Source Separation: Independent Component Analysis and Applications

    Pierre Comon;Christian Jutten

  • Tracking a few extreme singular values and vectors in signal processing

    P. Comon;G.H. Golub

  • Symmetric Tensors and Symmetric Tensor Rank

    Pierre Comon;Gene Golub;Lek-Heng Lim;Bernard Mourrain

  • Blind separation of sources, Part II: problems statement

    Pierre Comon;Christian Jutten;Jeanny Herault

  • Tensor Decompositions, Alternating Least Squares and other Tales

    P. Comon;X. Luciani;A. L. F. de Almeida

  • Independent Component Analysis

    Pierre Comon

  • Tensors : A brief introduction

    Pierre Comon

  • Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast With Algebraic Optimal Step Size

    V. Zarzoso;P. Comon

  • Ica: a potential tool for bci systems

    A. Kachenoura;L. Albera;L. Senhadji;P. Comon

  • Enhanced Line Search: A Novel Method to Accelerate PARAFAC

    Myriam Rajih;Pierre Comon;Richard A. Harshman

  • On the virtual array concept for higher order array processing

    P. Chevalier;L. Albera;A. Ferreol;P. Comon

  • Decomposition of quantics in sums of powers of linear forms

    P. Comon;B. Mourrain

  • Symmetric tensor decomposition

    Jérôme Brachat;Pierre Comon;Bernard Mourrain;Elias P. Tsigaridas;Elias P. Tsigaridas

  • Statistiques d'ordre supérieur pour le traitement du signal

    Jean-Louis Lacoume;Pierre-Olivier Amblard;Pierre Comon

  • NONNEGATIVE APPROXIMATIONS OF NONNEGATIVE TENSORS

    Lek-Heng Lim;Pierre Comon

  • Tensor Decompositions, State of the Art and Applications

    Pierre Comon

  • Contrasts for multichannel blind deconvolution

    P. Comon

  • Separation Of Stochastic Processes

    P. Comon

  • Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion

    Yang Xu;Zebin Wu;Jocelyn Chanussot;Pierre Comon

  • Enhanced Line Search: A novel method to accelerate Parafac

    Myriam Rajih;Pierre Comon

Frequent Co-Authors

Bernard Mourrain
Bernard Mourrain French Institute for Research in Computer Science and Automation - INRIA
Christian Jutten
Christian Jutten Grenoble Alpes University
Isabelle Merlet
Isabelle Merlet University of Rennes
Fabrice Wendling
Fabrice Wendling University of Rennes
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Mauro Dalla Mura
Mauro Dalla Mura Grenoble Alpes University
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Martin Haardt
Martin Haardt Ilmenau University of Technology

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