Alain Célisse

702 total citations
13 papers, 224 citations indexed

About

Alain Célisse is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alain Célisse has authored 13 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Alain Célisse's work include Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (3 papers). Alain Célisse is often cited by papers focused on Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (3 papers) and Bayesian Methods and Mixture Models (3 papers). Alain Célisse collaborates with scholars based in France and United States. Alain Célisse's co-authors include L. Pierre, Stéphane Robin, Jean‐Jacques Daudin, Guillemette Marot, Guillem Rigaill, Stephane S. Robin, Grégory Nuel, Mickaël Guedj, Tristan Mary‐Huard and Meyling Cheok and has published in prestigious journals such as BMC Bioinformatics, Journal of Statistical Software and Computational Statistics & Data Analysis.

In The Last Decade

Alain Célisse

12 papers receiving 216 citations

Peers

Countries citing papers authored by Alain Célisse

Since Specialization

Citations

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

Fields of papers citing papers by Alain Célisse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alain Célisse

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso 2023 ·Journal of Statistical Software ·(unknown), (unknown), Alain Célisse, Guillemette Marot	2
2	A one-sample test for normality with kernel methods 2019 ·Bernoulli ·(unknown), Alain Célisse	10
3	New efficient algorithms for multiple change-point detection with reproducing kernels 2018 ·Computational Statistics & Data Analysis ·Alain Célisse, Guillemette Marot, (unknown), Guillem Rigaill	41
4	New upper bounds on cross-validation for the k-Nearest Neighbor classification rule 2015 ·arXiv (Cornell University) ·Alain Célisse, Tristan Mary‐Huard	1
5	MPAgenomics: an R package for multi-patient analysis of genomic markers 2014 ·BMC Bioinformatics ·(unknown), Alain Célisse, (unknown), Meyling Cheok, Martin Figeac, Guillemette Marot	2
6	Exact Cross-Validation for kNN : application to passive and active learning in classification 2012 ·French digital mathematics library (Numdam) ·Alain Célisse, Tristan Mary‐Huard	4
7	Consistency of maximum-likelihood and variational estimators in the stochastic block model 2012 ·Electronic Journal of Statistics ·Alain Célisse, (unknown), L. Pierre	14
8	Consistency of maximum-likelihood and variational estimators in the\n Stochastic Block Model 2011 ·arXiv (Cornell University) ·Alain Célisse, Jean‐Jacques Daudin, L. Pierre	73
9	A cross-validation based estimation of the proportion of true null hypotheses 2010 ·Journal of Statistical Planning and Inference ·Alain Célisse, Stephane S. Robin	14
10	Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation 2009 ·BMC Bioinformatics ·Mickaël Guedj, Stéphane Robin, Alain Célisse, Grégory Nuel	19
11	Density estimation via cross-validation: Model selection point of view 2008 ·arXiv (Cornell University) ·Alain Célisse	1
12	Model selection in density estimation via cross-validation 2008 ·arXiv (Cornell University) ·Alain Célisse	0
13	Nonparametric density estimation by exact leave--out cross-validation 2007 ·Computational Statistics & Data Analysis ·Alain Célisse, Stéphane Robin	43

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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