The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jean-Christophe Pesquet sits on this spectrum.
This scientist: 430 publications — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jean-Christophe Pesquet sits on this spectrum.
This scientist: 58 D-Index — 75th percentile
75% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Jean-Christophe Pesquet is affiliated with CentraleSupélec in France and has contributed extensively to the fields of Engineering and Computer Science. Their research spans a number of subfields including Artificial Intelligence, Computational Mechanics, Biomedical Engineering, Computer Vision and Pattern Recognition, and Radiology, Nuclear Medicine and Imaging.
Throughout their academic career, Pesquet has focused on several main topics of study: Sparse and Compressive Sensing Techniques, Photoacoustic and Ultrasonic Imaging, Numerical Methods in Inverse Problems, Image and Signal Denoising Methods, Medical Imaging Techniques and Applications, Adversarial Robustness in Machine Learning, and Advanced Optimization Algorithms Research.
Pesquet has published in well-regarded journals and venues, contributing to the scientific community with a focus on signal processing and imaging sciences. Frequent publication venues include:
Recent research papers highlight a diverse range of applications and theoretical developments. Notable works include:
Their frequent co-authors include Émilie Chouzenoux, Audrey Repetti, Marion Savanier, Ismail Ben Ayed, and Sagar Verma, reflecting collaborative work in related interdisciplinary topics.
Jean-Christophe Pesquet's contributions have been recognized with honors such as the IEEE Fellow award in 2012 for contributions to statistical methods for signal recovery.
Patrick Louis Combettes;Jean-Christophe Pesquet
J.-C. Pesquet;H. Krim;H. Carfantan
P.L. Combettes;J.-C. Pesquet
Patrick Louis Combettes;Jean-Christophe Pesquet
Nikos Komodakis;Jean-Christophe Pesquet
Patrick Louis Combettes;Jean-Christophe Pesquet
Caroline Chaux;Patrick Louis Combettes;Jean-Christophe Pesquet;Valérie R. Wajs
P.L. Combettes;J.-C. Pesquet
Emilie Chouzenoux;Jean-Christophe Pesquet;Audrey Repetti
Patrick L. Combettes;Jean-Christophe Pesquet
Patrick Louis Combettes;Jean-Christophe Pesquet
Emilie Chouzenoux;Jean-Christophe Pesquet;Audrey Repetti
O. Cappe;E. Moulines;J.-C. Pesquet;A.P. Petropulu
N. Pustelnik;C. Chaux;J. Pesquet
C. Chaux;L. Duval;J.-C. Pesquet
Nathalie Lassau;Samy Ammari;Emilie Chouzenoux;Hugo Gortais
Marcelo Pereyra;Philip Schniter;Emilie Chouzenoux;Jean-Christophe Pesquet
Audrey Repetti;Mai Quyen Pham;Laurent Duval;Emilie Chouzenoux
Jean-Christophe Pesquet;Nelly Pustelnik
Emilie Chouzenoux;Anna Jezierska;Jean-Christophe Pesquet;Hugues Talbot
Patrick L. Combettes;Jean-Christophe Pesquet
Caroline Chaux;Laurent Duval;Jean-Christophe Pesquet
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to a range of online degrees and exciting career pathways. Many students dynamically combine CS with adjacent disciplines to boost their skills and competitiveness in the job market.
For those interested in interdisciplinary careers, options such as the cheapest online environmental science degree and the cheapest online master's mechanical engineering can provide adaptable technical knowledge. Pairing these with computer science fosters a solid foundation for jobs in sustainability, energy, or smart infrastructure.
Students drawn by scientific computing and advanced analytics often consider advanced STEM degrees, such as an online theoretical physics degree. This can lead to research, development, or tech innovation roles.
For direct entry into tech and analytics, the data science learning path provides practical skills for one of today’s fastest-growing fields. Each pathway offers flexibility, affordability, and excellent career outcomes when combined with your computer science background.
Beijing University of Chemical Technology
University of Florida
Iowa State University
University of California, San Diego
University of Victoria
University of Basel
Lancaster University
University of Maryland, Baltimore
Sorbonne University
University of New South Wales
University of Cincinnati
National Institutes of Health
University of Melbourne
Colorado State University
Lundquist Institute
Marquette University
