Richard Simard

2.1k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Richard Simard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Richard Simard has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Richard Simard's work include Chaos-based Image/Signal Encryption (11 papers), Algorithms and Data Compression (8 papers) and Numerical Methods and Algorithms (6 papers). Richard Simard is often cited by papers focused on Chaos-based Image/Signal Encryption (11 papers), Algorithms and Data Compression (8 papers) and Numerical Methods and Algorithms (6 papers). Richard Simard collaborates with scholars based in Canada, France and Australia. Richard Simard's co-authors include Pierre L’Ecuyer, W. David Kelton, Bijan G. Mobasseri, Stefan Wegenkittl, Zdravko I. Botev, Bruno Tuffin, Gerardo Rubino, Jean‐François Cordeau and Boris N. Oreshkin and has published in prestigious journals such as Operations Research, Journal of Statistical Software and SIAM Journal on Scientific Computing.

In The Last Decade

Richard Simard

18 papers receiving 1.2k citations

Hit Papers

TestU01 2007 2026 2013 2019 2007 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. TestU01
    2007 616 citations Pierre L’Ecuyer, Richard Simard ACM Transactions on Mathematical Software profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Simard Canada 12 681 533 347 137 132 18 1.3k
Nir Ailon United States 18 348 0.5× 831 1.6× 379 1.1× 106 0.8× 228 1.7× 43 1.6k
Marco Cuturi France 19 885 1.3× 934 1.8× 215 0.6× 199 1.5× 70 0.5× 45 2.6k
Edo Liberty United States 18 269 0.4× 573 1.1× 246 0.7× 171 1.2× 160 1.2× 39 1.3k
Martin Anthony United Kingdom 18 504 0.7× 1.6k 3.0× 359 1.0× 77 0.6× 160 1.2× 76 2.2k
Alberto Suárez Spain 23 311 0.5× 1.0k 1.9× 139 0.4× 178 1.3× 68 0.5× 67 1.9k
Andrea Caponnetto Italy 11 391 0.6× 703 1.3× 109 0.3× 96 0.7× 55 0.4× 19 1.7k
Richard Nock France 21 886 1.3× 999 1.9× 99 0.3× 140 1.0× 52 0.4× 101 2.2k
P. Tseng United States 12 576 0.8× 592 1.1× 314 0.9× 87 0.6× 197 1.5× 15 2.3k
Santosh Vempala United States 8 276 0.4× 452 0.8× 150 0.4× 247 1.8× 112 0.8× 8 1.0k
Sangwoon Yun South Korea 20 819 1.2× 478 0.9× 174 0.5× 80 0.6× 253 1.9× 61 2.3k

Countries citing papers authored by Richard Simard

Since Specialization
Citations

This map shows the geographic impact of Richard Simard'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 Richard Simard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Simard more than expected).

Fields of papers citing papers by Richard Simard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Simard. 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 Richard Simard. The network helps show where Richard Simard may publish in the future.

Co-authorship network of co-authors of Richard Simard

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Simard. A scholar is included among the top collaborators of Richard Simard 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 Richard Simard. Richard Simard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
L’Ecuyer, Pierre, et al.. (2016). Random Numbers for Parallel Computers: Requirements and Methods. Mathematics and Computers in Simulation. 1 indexed citations
2.
L’Ecuyer, Pierre, et al.. (2016). Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs. Mathematics and Computers in Simulation. 135. 3–17. 22 indexed citations
3.
Botev, Zdravko I., Pierre L’Ecuyer, Richard Simard, & Bruno Tuffin. (2016). Static Network Reliability Estimation under the Marshall-Olkin Copula. ACM Transactions on Modeling and Computer Simulation. 26(2). 1–28. 10 indexed citations
4.
L’Ecuyer, Pierre, et al.. (2015). Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs. SPIRE - Sciences Po Institutional REpository. 1–20. 3 indexed citations
5.
L’Ecuyer, Pierre & Richard Simard. (2014). On the Lattice Structure of a Special Class of Multiple Recursive Random Number Generators. INFORMS journal on computing. 26(3). 449–460. 7 indexed citations
6.
Simard, Richard. (2013). A Software Library in ANSI C for Empirical Testing of Random Number Generators. 13 indexed citations
7.
Botev, Zdravko I., Pierre L’Ecuyer, Gerardo Rubino, Richard Simard, & Bruno Tuffin. (2012). Static Network Reliability Estimation via Generalized Splitting. INFORMS journal on computing. 25(1). 56–71. 39 indexed citations
8.
Simard, Richard & Pierre L’Ecuyer. (2011). Computing the Two-Sided Kolmogorov-Smirnov Distribution. Journal of Statistical Software. 39(11). 119 indexed citations
9.
L’Ecuyer, Pierre & Richard Simard. (2007). TestU01. ACM Transactions on Mathematical Software. 33(4). 1–40. 616 indexed citations breakdown →
10.
L’Ecuyer, Pierre & Richard Simard. (2006). TestU01: A C Library for Empirical Testing of Random Number Generators. Les Cahiers du GERAD. 1–48. 79 indexed citations
11.
L’Ecuyer, Pierre & Richard Simard. (2006). Inverting the symmetrical beta distribution. ACM Transactions on Mathematical Software. 32(4). 509–520. 11 indexed citations
12.
L’Ecuyer, Pierre, Richard Simard, & Stefan Wegenkittl. (2002). Sparse Serial Tests of Uniformity for Random Number Generators. SIAM Journal on Scientific Computing. 24(2). 652–668. 29 indexed citations
13.
L’Ecuyer, Pierre, et al.. (2002). An Object-Oriented Random-Number Package with Many Long Streams and Substreams. Operations Research. 50(6). 1073–1075. 214 indexed citations
14.
Mobasseri, Bijan G., et al.. (2002). Content authentication and tamper detection in digital video. 1. 458–461. 35 indexed citations
15.
L’Ecuyer, Pierre & Richard Simard. (2001). On the performance of birthday spacings tests with certain families of random number generators. Mathematics and Computers in Simulation. 55(1-3). 131–137. 22 indexed citations
16.
L’Ecuyer, Pierre, Jean‐François Cordeau, & Richard Simard. (2000). Close-Point Spatial Tests and Their Application to Random Number Generators. Operations Research. 48(2). 308–317. 23 indexed citations
17.
L’Ecuyer, Pierre & Richard Simard. (1999). Beware of linear congruential generators with multipliers of the form a = ±2 q ±2 r . ACM Transactions on Mathematical Software. 25(3). 367–374. 23 indexed citations
18.
L’Ecuyer, Pierre, Richard Simard, & Stefan Wegenkittl. (1998). Sparse Serial Tests of Uniformity for Random Number Generators. Les Cahiers du GERAD. 1–23. 4 indexed citations

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.

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