World's Best Scientists 2026 revealed!
Pierre L'Ecuyer

Pierre L'Ecuyer

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Mathematics
Canada
2026

D-Index & Metrics

Computer Science

D-Index
72
Citations
17247
World Ranking
1706
National Ranking
60

Mathematics

D-Index
73
Citations
17610
World Ranking
233
National Ranking
8

Research.com Recognitions

  • 2026 - Research.com Mathematics in Canada Leader Award
  • 2025 - Research.com Mathematics in Canada Leader Award
  • 2023 - Research.com Mathematics in Canada Leader Award
  • 2006 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Pierre L'Ecuyer is affiliated with the University of Montreal in Canada and has an extensive publication record in the fields of mathematics and computer science. Their research primarily explores subjects within statistics, probability, numerical analysis, and artificial intelligence, reflecting a diverse interest in both theoretical and applied aspects of these disciplines.

The scientist's main areas of focus include mathematical approximation and integration, Markov chains and Monte Carlo methods, and statistical methods and inference. Additional topics covered are probabilistic and robust engineering design, advanced queuing theory analysis, Bayesian methods and mixture models, and chaos-based image and signal encryption.

L'Ecuyer has contributed to several recent papers, such as:

  • Monte Carlo and Quasi-Monte Carlo Density Estimation via Conditioning, 2022, INFORMS Journal on Computing
  • Multiple Streams with Recurrence-Based, Counter-Based, and Splittable Random Number Generators, 2021, 2021 Winter Simulation Conference (WSC)
  • A simulation-based decomposition approach for two-stage staffing optimization in call centers under arrival rate uncertainty, 2021, European Journal of Operational Research
  • Generalized likelihood ratio method for stochastic models with uniform random numbers as inputs, 2024, European Journal of Operational Research

Other recent work of interest in the broader field includes Construction-Free Median Quasi-Monte Carlo Rules for Function Spaces with Unspecified Smoothness and General Weights, published in 2022 in SIAM Journal on Scientific Computing, authored by Takashi Goda.

The scientist frequently collaborates with other researchers, including Florian Puchhammer, Bruno Tuffin, Michael C. Fu, Jiaqiao Hu, and Amal Ben Abdellah.

They have published extensively in venues such as arXiv (Cornell University), INFORMS Journal on Computing, Winter Simulation Conference (WSC) across multiple years, and European Journal of Operational Research.

In addition to articles, L'Ecuyer has authored a book titled Monte Carlo and Quasi-Monte Carlo Methods published by Springer International Publishing in 2020.

Their professional recognition includes being named a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2006.

Best Publications

  • TestU01: A C library for empirical testing of random number generators

    Pierre L'Ecuyer;Richard Simard

  • Efficient and portable combined random number generators

    P. L'Ecuyer

  • Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators

    Gregory W. Fischer;Ziv Carmon;Dan Ariely;Gal Zauberman

  • An Object-Oriented Random-Number Package with Many Long Streams and Substreams

    Pierre L'Ecuyer;Richard Simard;E. Jack Chen;W. David Kelton

  • Random Number Generation

    Pierre L'Ecuyer

  • Random numbers for simulation

    Pierre L'Ecuyer

  • Uniform random number generation

    Pierre L'Ecuyer

  • Maximally equidistributed combined Tausworthe generators

    Pierre L'Ecuyer

  • Recent Advances in Randomized Quasi-Monte Carlo Methods

    Pierre L’Ecuyer;Christiane Lemieux

  • Improved long-period generators based on linear recurrences modulo 2

    François Panneton;Pierre L'Ecuyer;Makoto Matsumoto

  • Tables of linear congruential generators of different sizes and good lattice structure

    Pierre L'Ecuyer

  • Modeling Daily Arrivals to a Telephone Call Center

    Athanassios N. Avramidis;Alexandre Deslauriers;Pierre L'Ecuyer

  • A Unified View of the IPA, SF, and LR Gradient Estimation Techniques

    Pierre L'Ecuyer

  • Staffing Multiskill Call Centers via Linear Programming and Simulation

    Mehmet Tolga Cezik;Pierre L'Ecuyer

  • Tables of maximally equidistributed combined LFSR generators

    Pierre L'Ecuyer

  • The application of forecasting techniques to modeling emergency medical system calls in Calgary, Alberta

    Nabil Channouf;Pierre L’Ecuyer;Armann Ingolfsson;Athanassios N. Avramidis

  • Variance Reduction via Lattice Rules

    Pierre L'Ecuyer;Christiane Lemieux

  • Implementing a random number package with splitting facilities

    Pierre L'Ecuyer;Serge Côté

  • Combined Multiple Recursive Random Number Generators

    Pierre L'Ecuyer

  • Chapter 3 – The Cross-Entropy Method for Optimization

    Zdravko I. Botev;Dirk P. Kroese;Reuven Y. Rubinstein;Pierre L’Ecuyer

  • Monte Carlo and Quasi-Monte Carlo Methods 2008

    Pierre L'Ecuyer;Art B. Owen

  • Improved Long-Period Generators Based on Linear Recurrences Modulo 2

    Pierre L'Ecuyer;François Panneton

Frequent Co-Authors

Bruno Tuffin
Bruno Tuffin French Institute for Research in Computer Science and Automation - INRIA
Peter W. Glynn
Peter W. Glynn Stanford University
Barry L. Nelson
Barry L. Nelson Northwestern University
Marina L. Gavrilova
Marina L. Gavrilova University of Calgary
Vipin Kumar
Vipin Kumar University of Minnesota
Ger Koole
Ger Koole Vrije Universiteit Amsterdam
Dirk P. Kroese
Dirk P. Kroese University of Queensland
Reuven Y. Rubinstein
Reuven Y. Rubinstein Technion – Israel Institute of Technology
Lee W. Schruben
Lee W. Schruben University of California, Berkeley
George Yin
George Yin University of Connecticut

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