D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 59 Citations 11,955 216 World Ranking 271 National Ranking 11

Research.com Recognitions

Awards & Achievements

2006 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Normal distribution
  • Algorithm

His scientific interests lie mostly in Random number generation, Pseudorandom number generator, Mathematical optimization, Discrete mathematics and Algorithm. His Random number generation study combines topics in areas such as Statistical hypothesis testing, Generator, Software and Arithmetic. The Pseudorandom number generator study combines topics in areas such as Lattice problem, Simple and Spectral test.

His Mathematical optimization research is multidisciplinary, incorporating elements of Convergence, Estimator and Applied mathematics. His research investigates the connection with Discrete mathematics and areas like Algebra which intersect with concerns in Nonzero coefficients. His Algorithm research includes elements of Representation, Score, Markov chain and Variance reduction.

His most cited work include:

  • TestU01: A C library for empirical testing of random number generators (649 citations)
  • Efficient and portable combined random number generators (409 citations)
  • Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators (331 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Mathematical optimization, Applied mathematics, Random number generation, Monte Carlo method and Quasi-Monte Carlo method. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Stochastic process and Markov chain. The study incorporates disciplines such as Function, Estimator and Random variable in addition to Applied mathematics.

His Estimator research includes themes of Derivative, Convergence and Bounded function. His biological study spans a wide range of topics, including Discrete mathematics, Modulo and Pseudorandom number generator. Pierre L'Ecuyer has researched Quasi-Monte Carlo method in several fields, including Statistical physics and Variance reduction.

He most often published in these fields:

  • Mathematical optimization (30.10%)
  • Applied mathematics (21.73%)
  • Random number generation (21.20%)

What were the highlights of his more recent work (between 2012-2021)?

  • Monte Carlo method (21.20%)
  • Mathematical optimization (30.10%)
  • Applied mathematics (21.73%)

In recent papers he was focusing on the following fields of study:

Monte Carlo method, Mathematical optimization, Applied mathematics, Quasi-Monte Carlo method and Estimator are his primary areas of study. Pierre L'Ecuyer has included themes like Node, Statistical physics and Rare events in his Monte Carlo method study. He studies Integer programming, a branch of Mathematical optimization.

His work in Quasi-Monte Carlo method covers topics such as Density estimation which are related to areas like Random variable and Kernel density estimation. The study incorporates disciplines such as Rate of convergence, Quantile, Markov chain and Variance reduction in addition to Estimator. His Algorithm research incorporates themes from Theoretical computer science and Component.

Between 2012 and 2021, his most popular works were:

  • Random Number Generation and Quasi-Monte Carlo† (55 citations)
  • Markov chain importance sampling with applications to rare event probability estimation (53 citations)
  • Forecasting Call Center Arrivals: Fixed-Effects, Mixed-Effects, and Bivariate Models (51 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Normal distribution
  • Operating system

Pierre L'Ecuyer mainly investigates Mathematical optimization, Monte Carlo method, Software, Random number generation and Hybrid Monte Carlo. His Mathematical optimization study incorporates themes from Order and Markov chain Monte Carlo. Pierre L'Ecuyer has included themes like Function, Expected value, Markov chain and Function approximation in his Monte Carlo method study.

The Software study combines topics in areas such as Emphasis, Distributed computing and Bayesian statistics. His research in Random number generation intersects with topics in Initialization, State and Theoretical computer science. His work on Monte Carlo integration as part of his general Hybrid Monte Carlo study is frequently connected to Small probability, thereby bridging the divide between different branches of science.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Pierre L'Ecuyer;Richard Simard.
ACM Transactions on Mathematical Software (2007)

1098 Citations

Efficient and portable combined random number generators

P. L'Ecuyer.
Communications of The ACM (1988)

777 Citations

Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators

Gregory W. Fischer;Ziv Carmon;Dan Ariely;Gal Zauberman.
Operations Research (1999)

569 Citations

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

Pierre L'Ecuyer;Richard Simard;E. Jack Chen;W. David Kelton.
Operations Research (2002)

463 Citations

Random Number Generation

Pierre L'Ecuyer.
Research Papers in Economics (2012)

430 Citations

Random numbers for simulation

Pierre L'Ecuyer.
Communications of The ACM (1990)

371 Citations

Uniform random number generation

Pierre L'Ecuyer.
Annals of Operations Research (1994)

369 Citations

Maximally equidistributed combined Tausworthe generators

Pierre L'Ecuyer.
Mathematics of Computation (1996)

349 Citations

Recent Advances in Randomized Quasi-Monte Carlo Methods

Pierre L’Ecuyer;Christiane Lemieux.
(2002)

310 Citations

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

Pierre L'Ecuyer.
Mathematics of Computation (1999)

297 Citations

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