Pierre Pudlo

3.7k total citations · 2 hit papers
25 papers, 2.1k citations indexed

About

Pierre Pudlo is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Pierre Pudlo has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 6 papers in Mathematical Physics. Recurrent topics in Pierre Pudlo's work include Markov Chains and Monte Carlo Methods (15 papers), Bayesian Methods and Mixture Models (14 papers) and Stochastic processes and statistical mechanics (6 papers). Pierre Pudlo is often cited by papers focused on Markov Chains and Monte Carlo Methods (15 papers), Bayesian Methods and Mixture Models (14 papers) and Stochastic processes and statistical mechanics (6 papers). Pierre Pudlo collaborates with scholars based in France, United Kingdom and Australia. Pierre Pudlo's co-authors include Jean‐Michel Marin, Arnaud Estoup, Mathieu Gautier, Jean‐Marie Cornuet, Christian P. Robert, Raphaël Leblois, Robin Ryder, Karim Gharbi, Timothée Cezard and Carole Kerdelhué and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Pierre Pudlo

25 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data

2014 832 citations Jean‐Marie Cornuet, Pierre Pudlo et al. Bioinformatics profile →
Approximate Bayesian computational methods

2011 410 citations Jean‐Michel Marin, Pierre Pudlo et al. Statistics and Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre Pudlo France	12	1.1k	518	508	371	364	25	2.1k
Katalin Csilléry Switzerland	14	1.1k 1.0×	492 0.9×	384 0.8×	161 0.4×	195 0.5×	25	2.2k
Karen Vines United Kingdom	6	607 0.5×	544 1.1×	267 0.5×	460 1.2×	267 0.7×	14	2.6k
Jean‐Michel Marin France	23	1.5k 1.3×	687 1.3×	885 1.7×	1.2k 3.1×	1.2k 3.2×	57	4.3k
Michaël G. B. Blum France	31	3.0k 2.6×	840 1.6×	1.1k 2.2×	563 1.5×	613 1.7×	60	5.3k
Pierre Duchesne Canada	23	1.1k 0.9×	620 1.2×	322 0.6×	233 0.6×	60 0.2×	71	2.3k
Rasmus Waagepetersen Denmark	23	320 0.3×	226 0.4×	233 0.5×	516 1.4×	530 1.5×	89	3.3k
Amaury Lambert France	27	1.4k 1.2×	1.5k 2.9×	1.1k 2.2×	132 0.4×	119 0.3×	102	4.6k
Christoph Leuenberger Switzerland	12	542 0.5×	197 0.4×	193 0.4×	173 0.5×	156 0.4×	22	1.0k
Claudia Neuhauser United States	23	891 0.8×	391 0.8×	399 0.8×	81 0.2×	63 0.2×	71	2.4k
Andreas Futschik Austria	22	1.3k 1.1×	255 0.5×	623 1.2×	81 0.2×	73 0.2×	76	2.1k

Countries citing papers authored by Pierre Pudlo

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Pudlo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Pudlo

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

All Works

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20 of 20 papers shown

Chauvet, Sophie, et al.. (2024). A continuous approach of modeling tumorigenesis and axons regulation for the pancreatic cancer. Journal of Theoretical Biology. 595. 111967–111967. 1 indexed citations

Pudlo, Pierre, et al.. (2023). Detecting Human and Non-Human Vocal Productions in Large Scale Audio Recordings. SSRN Electronic Journal. 1 indexed citations

Khalighi, Mohammad‐Ali, et al.. (2022). Outlier detection in non-stationary time series applied to sewer network monitoring. Internet of Things. 21. 100654–100654. 4 indexed citations

Ciesla, L., et al.. (2020). Constraining the recent star formation history of galaxies: an approximate Bayesian computation approach. Springer Link (Chiba Institute of Technology). 16 indexed citations

Abraham, Christophe, et al.. (2018). Bayesian Functional Linear Regression with Sparse Step Functions. Bayesian Analysis. 14(1). 12 indexed citations

Abraham, Christophe, et al.. (2016). Bayesian functional linear regression with sparse step functions. arXiv (Cornell University). 14 indexed citations

Pudlo, Pierre, et al.. (2015). Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields. HAL (Le Centre pour la Communication Scientifique Directe). 7 indexed citations

Pudlo, Pierre, Jean‐Michel Marin, Jean‐Marie Cornuet, et al.. (2014). ABC model choice via random forests. arXiv (Cornell University). 5 indexed citations

Leblois, Raphaël, et al.. (2014). Maximum-Likelihood Inference of Population Size Contractions from Microsatellite Data. Molecular Biology and Evolution. 31(10). 2805–2823. 56 indexed citations

10.

Baragatti, Meïli & Pierre Pudlo. (2014). An overview on Approximate Bayesian computation. SHILAP Revista de lepidopterología. 44. 291–299. 8 indexed citations

11.

Cornuet, Jean‐Marie, Pierre Pudlo, Mathieu Gautier, et al.. (2014). DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data. Bioinformatics. 30(8). 1187–1189. 832 indexed citations breakdown →

12.

Robert, Christian P., Pierre Pudlo, & Kerrie Mengersen. (2013). Bayesian computation via empirical likelihood.. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 49 indexed citations

13.

Gautier, Mathieu, Karim Gharbi, Timothée Cezard, et al.. (2013). Estimation of population allele frequencies from next‐generation sequencing data: pool‐versus individual‐based genotyping. Molecular Ecology. 22(14). 3766–3779. 163 indexed citations

14.

Cadre, Benoı̂t, Bruno Pelletier, & Pierre Pudlo. (2013). Estimation of density level sets with a given probability content. Journal of nonparametric statistics. 25(1). 261–272. 14 indexed citations

15.

Marin, Jean‐Michel, Pierre Pudlo, & Mohammed Sedki. (2012). Optimal parallelization of a sequential approximate Bayesian computation algorithm. Winter Simulation Conference. 29. 1 indexed citations

16.

Mengersen, Kerrie, Pierre Pudlo, & Christian P. Robert. (2012). Approximate Bayesian computation via empirical likelihood. arXiv (Cornell University). 2 indexed citations

17.

Estoup, Arnaud, Éric Lombaert, Jean‐Michel Marin, et al.. (2012). Estimation of demo‐genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics. Molecular Ecology Resources. 12(5). 846–855. 81 indexed citations

18.

Gautier, Mathieu, Karim Gharbi, Timothée Cezard, et al.. (2012). The effect ofRADallele dropout on the estimation of genetic variation within and between populations. Molecular Ecology. 22(11). 3165–3178. 222 indexed citations

19.

Marin, Jean‐Michel, Pierre Pudlo, & Mohammed Sedki. (2012). Optimal parallelization of a sequential approximate Bayesian computation algorithm. Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC). 106. 1–7. 1 indexed citations

20.

Marin, Jean‐Michel, Pierre Pudlo, Christian P. Robert, & Robin Ryder. (2011). Approximate Bayesian computational methods. Statistics and Computing. 22(6). 1167–1180. 410 indexed citations breakdown →

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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