2026 Pascal Massart: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	34	2836	2535	169	160	61	26239

Pascal Massart publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Pascal Massart sits on this spectrum.

42 publications 537+

This scientist: 61 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Pascal Massart D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Pascal Massart sits on this spectrum.

30 D-Index 86+

This scientist: 34 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

1998 - COPSS Presidents' Award

Overview

Pascal Massart is a researcher affiliated with the University of Paris-Saclay in France. Their work spans multiple fields of study, primarily focusing on Engineering and Mathematics.

The scientist has contributed to several subfields including Automotive Engineering, Statistics and Probability, Electrical and Electronic Engineering, Signal Processing, and Numerical Analysis.

Key research topics associated with Pascal Massart include:

Statistical Methods and Inference
Electric Vehicles and Infrastructure
Transportation and Mobility Innovations
Advanced Battery Technologies Research
Time Series Analysis and Forecasting
Mathematical Approximation and Integration
Gaussian Processes and Bayesian Inference

Their publication record features papers in various venues, with frequent contributions found in:

arXiv (Cornell University)
Energies
HAL (Le Centre pour la Communication Scientifique Directe)
ESAIM Probability and Statistics

Recent significant papers by Pascal Massart and collaborators include:

"A Review of Electric Vehicle Load Open Data and Models", 2021, published in Energies
"Random Forests for Time Series", 2022, published in HAL (Le Centre pour la Communication Scientifique Directe)
"Numerical performance of penalized comparison to overfitting for multivariate kernel density estimation", 2022, published in ESAIM Probability and Statistics
"Concentration inequalities and cut-off phenomena for penalized model selection within a basic Rademacher framework", 2025, published in arXiv (Cornell University)
"Is model selection possible for the ℓ_p-loss? PCO estimation for regression models", 2025, published in arXiv (Cornell University)

Pascal Massart has collaborated frequently with a core group of coauthors, including:

Vincent Rivoirard
Jean-Michel Poggi
Claire Lacour
Yvenn Amara-Ouali
Yannig Goude

Their work has been recognized with awards such as the COPSS Presidents' Award in 1998.

Best Publications

Least angle regression

Bradley Efron;Trevor Hastie;Iain Johnstone;Robert Tibshirani

12266
Citations
Concentration Inequalities: A Nonasymptotic Theory of Independence

Stéphane Boucheron;Gábor Lugosi;Pascal Massart

3046
Citations
Adaptive estimation of a quadratic functional by model selection

B. Laurent;P. Massart

1234
Citations
Concentration Inequalities and Model Selection

Pascal Massart;Jean Picard;École d'été de probabilités de Saint-Flour

1156
Citations
The Tight Constant in the Dvoretzky-Kiefer-Wolfowitz Inequality

P. Massart

994
Citations
Risk bounds for model selection via penalization

Andrew Barron;Lucien Birgé;Pascal Massart

938
Citations
Gaussian model selection

Lucien Birgé;Pascal Massart

726
Citations
Minimum contrast estimators on sieves: exponential bounds and rates of convergence

Lucien Birgé;Pascal Massart

501
Citations
From Model Selection to Adaptive Estimation

Lucien Birgé;Pascal Massart

499
Citations
Minimal Penalties for Gaussian Model Selection

Lucien Birgé;Pascal Massart

439
Citations
About the constants in Talagrand's concentration inequalities for empirical processes

Pascal Massart

416
Citations
Risk bounds for statistical learning

Pascal Massart;Élodie Nédélec

366
Citations
Some applications of concentration inequalities to statistics

Pascal Massart

342
Citations
Invariance principles for absolutely regular empirical processes

P. Doukhan;P. Massart;E. Rio

308
Citations
Rates of convergence for minimum contrast estimators

Lucien Birgé;Pascal Massart

304
Citations
Concentration inequalities using the entropy method

Stéphane Boucheron;Gábor Lugosi;Pascal Massart

285
Citations
Estimation of Integral Functionals of a Density

Lucien Birge;Pascal Massart

261
Citations
A sharp concentration inequality with application

Stéphane Boucheron;Gábor Lugosi;Pascal Massart

254
Citations
The functional central limit theorem for strongly mixing processes

Paul Doukhan;Pascal Massart;Emmanuel Rio

231
Citations
Statistical Performance of Support Vector Machines

Gilles Blanchard;Olivier Bousquet;Pascal Massart

213
Citations
Concentration inequalities : a non asymptotic theory of independence

Stéphane Boucheron;Gabor Lugosi;Gabor Lugosi;Pascal Massart

34
Citations

Frequent Co-Authors

Gábor Lugosi Pompeu Fabra University

Saharon Rosset Tel Aviv University

Olivier Bousquet Google (United States)

Frédéric Chazal French Institute for Research in Computer Science and Automation - INRIA

Sanford Weisberg University of Minnesota

Bradley Efron Stanford University

Robert Tibshirani Stanford University

David Madigan Northeastern University

Trevor Hastie Stanford University

Iain M. Johnstone Stanford University

External Links

Personal website of Pascal Massart

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