Jean‐Michel Marin

7.6k total citations · 3 hit papers
57 papers, 4.3k citations indexed

About

Jean‐Michel Marin is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Jean‐Michel Marin has authored 57 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 34 papers in Statistics and Probability and 7 papers in Mathematical Physics. Recurrent topics in Jean‐Michel Marin's work include Bayesian Methods and Mixture Models (29 papers), Markov Chains and Monte Carlo Methods (22 papers) and Statistical Methods and Bayesian Inference (12 papers). Jean‐Michel Marin is often cited by papers focused on Bayesian Methods and Mixture Models (29 papers), Markov Chains and Monte Carlo Methods (22 papers) and Statistical Methods and Bayesian Inference (12 papers). Jean‐Michel Marin collaborates with scholars based in France, United Kingdom and Italy. Jean‐Michel Marin's co-authors include Christian P. Robert, Jean‐Marie Cornuet, Pierre Pudlo, Arnaud Estoup, Mark Beaumont, Mathieu Gautier, Raphaël Leblois, Robin Ryder, J. M. Cornuet and Thomas Guillemaud and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Jean‐Michel Marin

56 papers receiving 4.1k 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. profile →
Inferring population history withDIY ABC: a user-friendly approach to approximate Bayesian computation

2008 563 citations Jean‐Marie Cornuet, Christian P. Robert et al. 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
Jean‐Michel Marin France	23	1.5k	1.2k	1.2k	885	687	57	4.3k
Charles J. Geyer United States	26	993 0.7×	1.9k 1.7×	1.5k 1.3×	641 0.7×	236 0.3×	81	5.6k
Michaël G. B. Blum France	31	3.0k 2.0×	563 0.5×	613 0.5×	1.1k 1.2×	840 1.2×	60	5.3k
Wenyang Zhang United States	22	1.0k 0.7×	1.0k 0.9×	588 0.5×	421 0.5×	324 0.5×	86	3.5k
Richard Durrett United States	40	1.4k 0.9×	1.3k 1.1×	673 0.6×	963 1.1×	243 0.4×	111	7.4k
Pierre Pudlo France	12	1.1k 0.8×	371 0.3×	364 0.3×	508 0.6×	518 0.8×	25	2.1k
Adrienne W. Kemp United Kingdom	29	528 0.4×	1.8k 1.5×	961 0.8×	375 0.4×	829 1.2×	129	8.0k
Rick Durrett United States	30	1.4k 0.9×	612 0.5×	471 0.4×	733 0.8×	371 0.5×	92	5.3k
Giles Hooker United States	28	322 0.2×	533 0.5×	871 0.7×	469 0.5×	574 0.8×	93	4.1k
Karen Vines United Kingdom	6	607 0.4×	460 0.4×	267 0.2×	267 0.3×	544 0.8×	14	2.6k
Paul Fearnhead United Kingdom	35	971 0.7×	1.5k 1.3×	1.8k 1.6×	993 1.1×	342 0.5×	124	6.4k

Countries citing papers authored by Jean‐Michel Marin

Since Specialization

Citations

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

Fields of papers citing papers by Jean‐Michel Marin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Michel Marin. 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 Jean‐Michel Marin. The network helps show where Jean‐Michel Marin may publish in the future.

Co-authorship network of co-authors of Jean‐Michel Marin

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Marin. A scholar is included among the top collaborators of Jean‐Michel Marin 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 Jean‐Michel Marin. Jean‐Michel Marin 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

Marin, Jean‐Michel, et al.. (2024). TFscope: systematic analysis of the sequence features involved in the binding preferences of transcription factors. Genome biology. 25(1). 187–187. 1 indexed citations

Petitprez, Florent, Jimmy Vandel, Jean‐Michel Marin, et al.. (2018). Probing instructions for expression regulation in gene nucleotide compositions. PLoS Computational Biology. 14(1). e1005921–e1005921. 8 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

Marin, Jean‐Michel, Natesh S. Pillai, Christian P. Robert, & Judith Rousseau. (2013). Relevant Statistics for Bayesian Model Choice. Journal of the Royal Statistical Society Series B (Statistical Methodology). 76(5). 833–859. 1 indexed citations

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

Cornuet, Jean‐Marie, Jean‐Michel Marin, Antonietta Mira, & Christian P. Robert. (2012). Adaptive Multiple Importance Sampling. Scandinavian Journal of Statistics. 39(4). 798–812. 135 indexed citations

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

Barbillon, Pierre, et al.. (2011). Modèles réduits à partir d’expériences numériques. French digital mathematics library (Numdam). 152(1). 89–102. 1 indexed citations

Donnet, Sophie & Jean‐Michel Marin. (2011). An empirical Bayes procedure for the selection of Gaussian graphical models. Statistics and Computing. 22(5). 1113–1123. 3 indexed citations

10.

Celeux, Gilles, et al.. (2010). Regularization in regression: comparing Bayesian and frequentist methods\n in a poorly informative situation. arXiv (Cornell University). 28 indexed citations

11.

Robert, Christian P. & Jean‐Michel Marin. (2009). Some difficulties with some posterior probability approximations. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 1 indexed citations

12.

Robert, Christian P., et al.. (2008). ABC methods for model choice in Gibbs random fields. arXiv (Cornell University). 3 indexed citations

13.

Marin, Jean‐Michel & Christian P. Robert. (2008). Approximating the marginal likelihood in mixture models. ArXiv.org. 2 indexed citations

14.

Marin, Jean‐Michel & Christian P. Robert. (2007). Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics). Springer eBooks. 23 indexed citations

15.

Kendall, Wilfrid S., Jean‐Michel Marin, & Christian P. Robert. (2007). Confidence bands for Brownian motion and applications to Monte Carlo simulation. Statistics and Computing. 17(1). 1–10. 12 indexed citations

16.

Celeux, Gilles, Jean‐Michel Marin, & Christian P. Robert. (2006). Sélection bayésienne de variables en régression linéaire. RePEc: Research Papers in Economics. 147(1). 59–79. 8 indexed citations

17.

Guillin, Arnaud, Jean‐Michel Marin, & Christian P. Robert. (2005). Estimation bayésienne approximative par échantillonnage préférentiel. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 53(1). 79–95.

18.

Cappé, Olivier, et al.. (2004). Population Monte Carlo for Ion Channel Restoration. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 5 indexed citations

19.

Marin, Jean‐Michel, et al.. (2003). OPTIMAL QUADRATIC UNBIASED ESTIMATION FOR MODELS WITH LINEAR TOEPLITZ COVARIANCE STRUCTURE. Statistics. 37(2). 85–99. 5 indexed citations

20.

Marin, Jean‐Michel, et al.. (2002). Linear Toeplitz covariance structure models with optimal estimators of variance components. Linear Algebra and its Applications. 354(1-3). 195–212. 13 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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