Nicolas Verzélen

881 total citations
28 papers, 335 citations indexed

About

Nicolas Verzélen is a scholar working on Statistics and Probability, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Nicolas Verzélen has authored 28 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Nicolas Verzélen's work include Statistical Methods and Inference (14 papers), Bayesian Methods and Mixture Models (6 papers) and Complex Network Analysis Techniques (4 papers). Nicolas Verzélen is often cited by papers focused on Statistical Methods and Inference (14 papers), Bayesian Methods and Mixture Models (6 papers) and Complex Network Analysis Techniques (4 papers). Nicolas Verzélen collaborates with scholars based in France, United States and Canada. Nicolas Verzélen's co-authors include Ery Arias-Castro, Christophe Giraud, Noel Cressie, Sylvie Huet, Nadine Hilgert, André Mas, Cristopher Moore, Jiaming Xu, Étienne Roquain and Martin Ecarnot and has published in prestigious journals such as IEEE Transactions on Information Theory, Biometrika and The Annals of Statistics.

In The Last Decade

Nicolas Verzélen

27 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Verzélen France	13	162	101	52	40	38	28	335
Quentin Berthet United States	8	114 0.7×	138 1.4×	19 0.4×	89 2.2×	70 1.8×	18	398
Christophe Abraham France	11	148 0.9×	217 2.1×	39 0.8×	49 1.2×	15 0.4×	27	494
Raymond K. W. Wong United States	10	124 0.8×	69 0.7×	10 0.2×	29 0.7×	13 0.3×	27	328
Adolfo J. Quiróz Venezuela	11	108 0.7×	151 1.5×	32 0.6×	39 1.0×	10 0.3×	37	435
Wei‐Liem Loh Singapore	12	228 1.4×	115 1.1×	35 0.7×	15 0.4×	8 0.2×	25	487
Élisabeth Gassiat France	15	319 2.0×	385 3.8×	36 0.7×	33 0.8×	34 0.9×	33	744
Satoshi Kuriki Japan	14	222 1.4×	84 0.8×	11 0.2×	15 0.4×	12 0.3×	55	539
Wolfgang Polonik United States	15	359 2.2×	218 2.2×	9 0.2×	34 0.8×	13 0.3×	27	567
C. M. Theobald United Kingdom	12	210 1.3×	47 0.5×	11 0.2×	20 0.5×	21 0.6×	29	488

Countries citing papers authored by Nicolas Verzélen

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Verzélen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Verzélen

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Verzélen. A scholar is included among the top collaborators of Nicolas Verzélen 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 Nicolas Verzélen. Nicolas Verzélen 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

Verzélen, Nicolas, et al.. (2024). Optimal estimation of Schatten norms of a rectangular matrix. The Annals of Statistics. 52(4).

Giraud, Christophe, et al.. (2023). Localization in 1D non-parametric latent space models from pairwise affinities. Electronic Journal of Statistics. 17(1). 2 indexed citations

Carpentier, Alexandra, et al.. (2023). Optimal multiple change-point detection for high-dimensional data. Electronic Journal of Statistics. 17(1). 5 indexed citations

Verzélen, Nicolas, et al.. (2023). Optimal change-point detection and localization. The Annals of Statistics. 51(4). 15 indexed citations

Roquain, Étienne & Nicolas Verzélen. (2022). False discovery rate control with unknown null distribution: Is it possible to mimic the oracle?. The Annals of Statistics. 50(2). 7 indexed citations

Carpentier, Alexandra, Sylvain Delattre, Étienne Roquain, & Nicolas Verzélen. (2021). Estimating minimum effect with outlier selection. The Annals of Statistics. 49(1). 5 indexed citations

Giraud, Christophe & Nicolas Verzélen. (2019). Partial recovery bounds for clustering with the relaxed $K$-means. HAL (Le Centre pour la Communication Scientifique Directe). 1(3). 317–374. 15 indexed citations

Moore, Cristopher, et al.. (2018). Information-Theoretic Bounds and Phase Transitions in Clustering, Sparse PCA, and Submatrix Localization. IEEE Transactions on Information Theory. 64(7). 4872–4894. 21 indexed citations

Verzélen, Nicolas, et al.. (2018). Optimal graphon estimation in cut distance. Probability Theory and Related Fields. 174(3-4). 1033–1090. 12 indexed citations

10.

Arias-Castro, Ery & Nicolas Verzélen. (2016). Discussion of “Influential features PCA for high dimensional clustering”. The Annals of Statistics. 44(6). 1 indexed citations

11.

Verzélen, Nicolas & Ery Arias-Castro. (2015). Community detection in sparse random networks. The Annals of Applied Probability. 25(6). 28 indexed citations

12.

Charbonnier, Camille, et al.. (2015). A global homogeneity test for high-dimensional linear regression. Electronic Journal of Statistics. 9(1). 2 indexed citations

13.

Arias-Castro, Ery & Nicolas Verzélen. (2014). Community detection in dense random networks. The Annals of Statistics. 42(3). 54 indexed citations

14.

Hilgert, Nadine, André Mas, & Nicolas Verzélen. (2013). Minimax adaptive tests for the functional linear model. The Annals of Statistics. 41(2). 27 indexed citations

15.

Giraud, Christophe, Sylvie Huet, & Nicolas Verzélen. (2012). Graph Selection with GGMselect. Statistical Applications in Genetics and Molecular Biology. 11(3). Article 3–Article 3. 21 indexed citations

16.

Giraud, Christophe, Sylvie Huet, & Nicolas Verzélen. (2012). High-Dimensional Regression with Unknown Variance. Statistical Science. 27(4). 17 indexed citations

17.

Verzélen, Nicolas. (2010). Adaptive estimation of covariance matrices via Cholesky decomposition. Electronic Journal of Statistics. 4(none). 6 indexed citations

18.

Verzélen, Nicolas. (2010). Adaptive estimation of stationary Gaussian fields. The Annals of Statistics. 38(3). 3 indexed citations

19.

Verzélen, Nicolas. (2009). Data-driven neighborhood selection of a Gaussian field. Computational Statistics & Data Analysis. 54(5). 1355–1371. 4 indexed citations

20.

Verzélen, Nicolas, Nicolas Picard, & Sylvie Gourlet‐Fleury. (2006). Approximating spatial interactions in a model of forest dynamics as a means of understanding spatial patterns. Ecological Complexity. 3(3). 209–218. 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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