François Perron

601 total citations
34 papers, 343 citations indexed

About

François Perron is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, François Perron has authored 34 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 5 papers in Finance. Recurrent topics in François Perron's work include Statistical Methods and Inference (14 papers), Statistical Distribution Estimation and Applications (12 papers) and Advanced Statistical Methods and Models (11 papers). François Perron is often cited by papers focused on Statistical Methods and Inference (14 papers), Statistical Distribution Estimation and Applications (12 papers) and Advanced Statistical Methods and Models (11 papers). François Perron collaborates with scholars based in Canada, United States and France. François Perron's co-authors include Éric Marchand, Renate Meyer, Bo Cai, Bimal K. Sinha, Kerrie Mengersen, Yves F. Atchadé, N. Giri, Johan Segers, A. Joffe and Mohammad Jafari Jozani and has published in prestigious journals such as Biometrics, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

François Perron

32 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Perron Canada 12 267 115 60 35 31 34 343
Bert van Es Netherlands 12 225 0.8× 105 0.9× 38 0.6× 35 1.0× 77 2.5× 23 341
Bengt Rosén Sweden 9 187 0.7× 145 1.3× 36 0.6× 68 1.9× 27 0.9× 24 379
Ramesh M. Korwar United States 9 265 1.0× 189 1.6× 56 0.9× 51 1.5× 25 0.8× 21 342
N. G. Ushakov Russia 7 155 0.6× 96 0.8× 23 0.4× 36 1.0× 50 1.6× 39 296
Masafumi Akahira Japan 9 272 1.0× 79 0.7× 63 1.1× 60 1.7× 60 1.9× 65 349
Gérard Collomb France 8 265 1.0× 86 0.7× 35 0.6× 31 0.9× 78 2.5× 28 414
R. Srinivasan United States 11 216 0.8× 80 0.7× 73 1.2× 60 1.7× 22 0.7× 46 385
Tadeusz Inglot Poland 10 254 1.0× 74 0.6× 46 0.8× 25 0.7× 82 2.6× 30 333
Kengo Kamatani Japan 8 112 0.4× 88 0.8× 34 0.6× 18 0.5× 72 2.3× 19 233
Xiaoqian Sun United States 10 215 0.8× 65 0.6× 37 0.6× 29 0.8× 20 0.6× 27 319

Countries citing papers authored by François Perron

Since Specialization
Citations

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

Fields of papers citing papers by François Perron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Perron

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

All Works

20 of 20 papers shown
1.
Marchand, Éric, et al.. (2017). On estimating a bounded normal mean with applications to predictive density estimation. Electronic Journal of Statistics. 11(1). 5 indexed citations
2.
Perron, François, et al.. (2012). A New Randomized Pólya Urn Model. Applied Mathematics. 3(12). 2118–2122. 4 indexed citations
3.
Perron, François, et al.. (2012). Optimal Hoeffding bounds for discrete reversible Markov chains. 21 indexed citations
4.
Jozani, Mohammad Jafari, et al.. (2011). Unbiased and almost unbiased ratio estimators of the population mean in ranked set sampling. Statistical Papers. 53(3). 719–737. 6 indexed citations
5.
Atchadé, Yves F. & François Perron. (2007). On the geometric ergodicity of Metropolis-Hastings algorithms. Statistics. 41(1). 77–84. 7 indexed citations
6.
Atchadé, Yves F. & François Perron. (2005). Improving on the Independent Metropolis-Hastings algorithm. 15(1). 3–18. 9 indexed citations
7.
Perron, François, Jack E. Dibb, & M. R. Albert. (2004). A New Technique for Sampling Firn Air. AGU Fall Meeting Abstracts. 2004. 2 indexed citations
8.
Joffe, A., et al.. (2004). On Sums of Products of Bernoulli Variables and Random Permutations. Journal of Theoretical Probability. 17(1). 285–292. 17 indexed citations
9.
Marchand, Éric & François Perron. (2003). Improving on the mle of a bounded location parameter for spherical distributions. Journal of Multivariate Analysis. 92(2). 227–238. 9 indexed citations
10.
Perron, François & Bimal K. Sinha. (2003). Estimation of variance based on a ranked set sample. Journal of Statistical Planning and Inference. 120(1-2). 21–28. 25 indexed citations
11.
Perron, François, et al.. (2003). Extremal properties of sums of Bernoulli random variables. Statistics & Probability Letters. 62(4). 345–354. 9 indexed citations
12.
Perron, François & Kerrie Mengersen. (2001). Bayesian Nonparametric Modeling Using Mixtures of Triangular Distributions. Biometrics. 57(2). 518–528. 25 indexed citations
13.
Perron, François. (1999). Beyond accept-reject sampling. Biometrika. 86(4). 803–813. 3 indexed citations
14.
Sinha, Bimal K., et al.. (1999). Random selection in ranked set sampling and its applications. Journal of Statistical Planning and Inference. 76(1-2). 185–201. 9 indexed citations
15.
Perron, François. (1997). On a Conjecture of Krishnamoorthy and Gupta. Journal of Multivariate Analysis. 62(1). 110–120. 4 indexed citations
16.
Perron, François. (1993). Estimation of a Mean Vector in a Two-Sample Problem. Journal of Multivariate Analysis. 46(2). 254–261.
17.
Perron, François. (1992). Minimax estimators of a covariance matrix. Journal of Multivariate Analysis. 43(1). 16–28. 22 indexed citations
18.
Perron, François & N. Giri. (1990). On the best equivariant estimator of mean of a multivariate normal population. Journal of Multivariate Analysis. 32(1). 1–16. 11 indexed citations
19.
Perron, François. (1990). Equivariant estimators of the covariance matrix. Canadian Journal of Statistics. 18(2). 179–182. 12 indexed citations
20.
Kariya, Takeaki, N. Giri, & François Perron. (1988). Equivariant estimation of a mean vector μ of N(μ, Σ) with μ′Σ−1μ = 1 or Σ−12μ = c or Σ = σ2μ′μl. Journal of Multivariate Analysis. 27(1). 270–283. 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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