World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7400
World Ranking
9250
National Ranking
222

Overview

Cedric Richard is affiliated with Université Côte d'Azur in France. Their research spans several fields primarily focused on engineering and computer science, with significant work also in media technology, computational mechanics, artificial intelligence, computer vision and pattern recognition, and signal processing.

The scientist's recent publications include a variety of topics such as advanced image fusion, signal and image denoising, adaptive filtering, and remote sensing. Notable recent papers are:

  • "Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning" (2020) published in IEEE Signal Processing Magazine
  • "A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data" (2021) published in IEEE Transactions on Neural Networks and Learning Systems
  • "Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation" (2021) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods" (2023) published in IEEE Signal Processing Magazine
  • "Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability" (2021) published in IEEE Journal of Selected Topics in Signal Processing

Frequent coauthors collaborating with Cedric Richard include:

  • Jie Chen
  • Ricardo Augusto Borsoi
  • Ali H. Sayed
  • Roula Nassif
  • Martijn van den Ende

The scientist has contributed significantly to several publication venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • IEEE Signal Processing Magazine
  • IEEE Transactions on Signal and Information Processing over Networks
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Signal Processing

Research topics covered by Cedric Richard encompass:

  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Advanced Adaptive Filtering Techniques
  • Remote-Sensing Image Classification
  • Speech and Audio Processing
  • Sparse and Compressive Sensing Techniques
  • Photoacoustic and Ultrasonic Imaging

The range of fields and topics reveals a broad engagement with both theoretical and applied aspects of signal processing, image analysis, and machine learning methodologies. The work integrates distributed and streaming machine learning approaches, deep learning techniques, and hybrid physical-data driven modeling for hyperspectral and acoustic sensing applications.

Best Publications

  • Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms

    Nicolas Dobigeon;Jean-Yves Tourneret;Cedric Richard;Jose Carlos M. Bermudez

  • Multitask Diffusion Adaptation Over Networks

    Jie Chen;Cedric Richard;Ali H. Sayed

  • Diffusion LMS Over Multitask Networks

    Jie Chen;Cedric Richard;Ali H. Sayed

  • Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model

    Jie Chen;C. Richard;P. Honeine

  • Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

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

  • Testing Stationarity With Surrogates: A Time-Frequency Approach

    Pierre Borgnat;Patrick Flandrin;Paul Honeine;Cédric Richard

  • Preimage Problem in Kernel-Based Machine Learning

    P Honeine;C Richard

  • Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm

    W. D. Parreira;J. C. M. Bermudez;C. Richard;Jean-Yves Tourneret

  • A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing

    Ricardo Augusto Borsoi;Tales Imbiriba;Jose Carlos Moreira Bermudez;Cedric Richard

  • Nonlinear Estimation of Material Abundances in Hyperspectral Images With $ll_{1}$ -Norm Spatial Regularization

    Jie Chen;Cedric Richard;Paul Honeine

  • Online Dictionary Learning for Kernel LMS

    Wei Gao;Jie Chen;Cedric Richard;Jianguo Huang

  • Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks

    Jing Teng;H Snoussi;C Richard

  • Nonnegative Least-Mean-Square Algorithm

    Jie Chen;C. Richard;J. C. M. Bermudez;P. Honeine

  • Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks

    Jing Teng;H. Snoussi;C. Richard;Rong Zhou

  • Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning

    Roula Nassif;Stefan Vlaski;Cedric Richard;Jie Chen

  • Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods

    Unknown

  • Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation

    Xiuheng Wang;Jie Chen;Qi Wei;Cédric Richard

  • Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

    Roula Nassif;Cedric Richard;Andre Ferrari;Ali H. Sayed

  • Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization

    Farah Mourad;Hicham Chehade;Hichem Snoussi;Farouk Yalaoui

  • Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach

    P. Honeine;C. Richard

  • Anchor-Based Localization via Interval Analysis for Mobile Ad-Hoc Sensor Networks

    F. Mourad;H. Snoussi;F. Abdallah;C. Richard

  • A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing

    Ricardo Augusto Borsoi;Tales Imbiriba;Jose Carlos Moreira Bermudez;Cedric Richard

Frequent Co-Authors

Hichem Snoussi
Hichem Snoussi University of Technology of Troyes
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Majdi Mansouri
Majdi Mansouri Sultan Qaboos University
Pierre Borgnat
Pierre Borgnat École Normale Supérieure de Lyon
Patrick Flandrin
Patrick Flandrin École Normale Supérieure de Lyon
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Alejandro Ribeiro
Alejandro Ribeiro University of Pennsylvania
Stephen McLaughlin
Stephen McLaughlin Heriot-Watt University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens exciting options for those interested in computer science and related fields. Many students are looking for the cheapest online degrees to get a head start in tech without breaking the bank. Affordable online programs help make a high-quality education more accessible to a wider range of learners.

If your academic history isn't perfect, you still have opportunities. In fact, several online graduate programs that accept 2.0 gpa are available, giving motivated students a chance to build new career paths and upskill, regardless of their prior GPA.

Beyond computer science, you may also be interested in discovering what can you get with an environmental science degree. This degree unlocks job opportunities in research, policy, conservation, and technology sectors focused on environmental impact.

Those ready to advance quickly should consider the advantages of an online computer science degree, particularly in accelerated formats. These programs let students gain practical skills in less time and start their careers faster.

Best Scientists Citing Cedric Richard

Trending Scientists

Recently Published Articles