Pierre L’Ecuyer
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.2%
- Management Science and Operations Research top 0.2%
- Management Information Systems top 0.5%
- Co-authors
- Richard SimardAthanassios N. AvramidisBruno TuffinRaymond CoutureFrançois PannetonChristiane LemieuxPeter W. GlynnShu Tezuka
- Topics
- Mathematical Approximation and Integration (65 papers)Advanced Queuing Theory Analysis (59 papers)Chaos-based Image/Signal Encryption (58 papers)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Pierre L’Ecuyer
267 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 2.2k
- Artificial Intelligence 2.1k
- Computational Theory and Mathematics 1.7k
- Management Science and Operations Research 1.6k
- Management Information Systems 1.2k
Countries citing papers authored by Pierre L’Ecuyer
This map shows the geographic impact of Pierre L’Ecuyer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pierre L’Ecuyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre L’Ecuyer more than expected).
Fields of papers citing papers by Pierre L’Ecuyer
This network shows the impact of papers produced by Pierre L’Ecuyer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pierre L’Ecuyer. The network helps show where Pierre L’Ecuyer may publish in the future.
Co-authorship network of co-authors of Pierre L’Ecuyer
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre L’Ecuyer. A scholar is included among the top collaborators of Pierre L’Ecuyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pierre L’Ecuyer. Pierre L’Ecuyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | Modeling and forecasting call center arrivals: A literature survey and a case study | 0 |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | Variance Reduction's Greatest Hits | 4 |
| 10 | TestU01: A C Library for Empirical Testing of Random Number Generators | 79 |
| 11 | 37 | |
| 12 | Efficient Jump Ahead for 2 -Linear Random Number Generators | 5 |
| 13 | 23 | |
| 14 | 4 | |
| 15 | 13 | |
| 16 | A Numerical Procedure for Pricing American-style Asian Options | 1 |
| 17 | 10 | |
| 18 | Stochastic Optimization by Simulation: Convergence Proofs and Experimental Results for the GI/G/1 Queue in Steady-State | 7 |
| 19 | 13 | |
| 20 | 11 |
About Pierre L’Ecuyer
Pierre L’Ecuyer is a scholar working on Numerical Analysis, Statistics and Probability and Management Information Systems, having authored 276 papers that have together received 7.7k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (65 papers), Advanced Queuing Theory Analysis (59 papers) and Chaos-based Image/Signal Encryption (58 papers). The work is most often cited by research in Numerical Analysis (853 citations), Management Information Systems (1.2k citations) and Management Science and Operations Research (1.6k citations). Pierre L’Ecuyer has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Richard Simard, Athanassios N. Avramidis, Bruno Tuffin, Raymond Couture, François Panneton, Christiane Lemieux, Peter W. Glynn, Shu Tezuka, Alain Haurie and Nabil Channouf. Their work appears in journals such as IEEE Transactions on Automatic Control, Management Science and Communications of the ACM.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.