Céline Lévy‐Leduc

1.2k total citations
41 papers, 656 citations indexed

About

Céline Lévy‐Leduc is a scholar working on Statistics and Probability, Finance and Molecular Biology. According to data from OpenAlex, Céline Lévy‐Leduc has authored 41 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 11 papers in Finance and 10 papers in Molecular Biology. Recurrent topics in Céline Lévy‐Leduc's work include Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (14 papers) and Financial Risk and Volatility Modeling (11 papers). Céline Lévy‐Leduc is often cited by papers focused on Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (14 papers) and Financial Risk and Volatility Modeling (11 papers). Céline Lévy‐Leduc collaborates with scholars based in France, Brazil and United States. Céline Lévy‐Leduc's co-authors include Zaïd Harchaoui, Valdério Anselmo Reisen, Stéphane Robin, Tristan Mary‐Huard, Maud Delattre, François Roueff, Murad S. Taqqu, Éric Moulines, Marc Lavielle and Stephane S. Robin and has published in prestigious journals such as Cell, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Céline Lévy‐Leduc

41 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Céline Lévy‐Leduc France 13 267 171 121 99 78 41 656
Piotr Fryźlewicz United Kingdom 18 356 1.3× 87 0.5× 179 1.5× 153 1.5× 96 1.2× 58 967
Chunming Zhang United States 14 576 2.2× 52 0.3× 219 1.8× 141 1.4× 46 0.6× 62 947
Fengrong Wei United States 8 436 1.6× 68 0.4× 42 0.3× 145 1.5× 77 1.0× 14 597
Cun-Hui Zhang United States 11 449 1.7× 104 0.6× 29 0.2× 194 2.0× 44 0.6× 16 825
Haeran Cho United Kingdom 10 196 0.7× 38 0.2× 63 0.5× 101 1.0× 50 0.6× 24 438
Hengjian Cui China 21 891 3.3× 64 0.4× 92 0.8× 205 2.1× 98 1.3× 82 1.2k
Jiancheng Jiang United States 18 535 2.0× 38 0.2× 140 1.2× 153 1.5× 53 0.7× 49 840
Marten Wegkamp United States 16 613 2.3× 82 0.5× 277 2.3× 517 5.2× 107 1.4× 42 1.3k

Countries citing papers authored by Céline Lévy‐Leduc

Since Specialization
Citations

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

Fields of papers citing papers by Céline Lévy‐Leduc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Céline Lévy‐Leduc. 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 Céline Lévy‐Leduc. The network helps show where Céline Lévy‐Leduc may publish in the future.

Co-authorship network of co-authors of Céline Lévy‐Leduc

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Lévy‐Leduc. A scholar is included among the top collaborators of Céline Lévy‐Leduc 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 Céline Lévy‐Leduc. Céline Lévy‐Leduc 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.
Lévy‐Leduc, Céline, et al.. (2023). Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso. BMC Bioinformatics. 24(1). 25–25. 3 indexed citations
2.
Lévy‐Leduc, Céline, et al.. (2022). Variable selection in sparse GLARMA models. Statistics. 56(4). 755–784. 1 indexed citations
3.
Lévy‐Leduc, Céline, et al.. (2021). A variable selection approach for highly correlated predictors in high-dimensional genomic data. Bioinformatics. 37(16). 2238–2244. 6 indexed citations
4.
Lévy‐Leduc, Céline, et al.. (2021). Estimation of Large Block Structured Covariance Matrices: Application to ‘Multi-Omic’ Approaches to Study Seed Quality. Journal of the Royal Statistical Society Series C (Applied Statistics). 71(1). 119–147. 3 indexed citations
5.
Grandclaudon, Maximilien, Coline Trichot, Léa Karpf, et al.. (2019). A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication. Cell. 179(2). 432–447.e21. 21 indexed citations
6.
Lévy‐Leduc, Céline, et al.. (2018). Estimation of large block covariance matrices: Application to the analysis of gene expression data. arXiv (Cornell University). 1 indexed citations
7.
Lévy‐Leduc, Céline, et al.. (2018). A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data. Statistical Applications in Genetics and Molecular Biology. 17(5). 6 indexed citations
8.
Brault, Vincent, et al.. (2017). Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices. Journal of Multivariate Analysis. 165. 143–165. 6 indexed citations
9.
Brault, Vincent, et al.. (2017). Estimating the Number of Block Boundaries from Diagonal Blockwise Matrices Without Penalization. Scandinavian Journal of Statistics. 44(2). 563–580. 2 indexed citations
10.
Lévy‐Leduc, Céline, et al.. (2017). A robust approach for estimating change-points in the mean of an $\operatorname{AR}(1)$ process. Bernoulli. 23(2). 30 indexed citations
11.
Lévy‐Leduc, Céline, et al.. (2015). Improving heritability estimation by a variable selection approach in\n sparse high dimensional linear mixed models. arXiv (Cornell University). 4 indexed citations
12.
Lévy‐Leduc, Céline & Murad S. Taqqu. (2013). Hermite ranks and $$U$$ U -statistics. Metrika. 77(1). 105–136. 2 indexed citations
13.
14.
Lévy‐Leduc, Céline, et al.. (2012). Sequential design of computer experiments for parameter estimation with application to numerical dosimetry. 909–913. 2 indexed citations
15.
Reisen, Valdério Anselmo, et al.. (2010). Robust estimation of periodic autoregressive processes in the presence of additive outliers. Journal of Multivariate Analysis. 101(9). 2168–2183. 20 indexed citations
16.
Lévy‐Leduc, Céline, et al.. (2010). Robust estimation of the scale and of the autocovariance function of Gaussian short- and long-range dependent processes. Journal of Time Series Analysis. 32(2). 135–156. 31 indexed citations
17.
Lévy‐Leduc, Céline, et al.. (2008). Frequency estimation based on the cumulated Lomb–Scargle periodogram. Journal of Time Series Analysis. 29(6). 1104–1131. 4 indexed citations
18.
Lévy‐Leduc, Céline & Zaïd Harchaoui. (2007). Catching Change-points with Lasso. Neural Information Processing Systems. 20. 617–624. 58 indexed citations
19.
Castillo, Ismaël, Céline Lévy‐Leduc, & Catherine Matias. (2006). Exact adaptive estimation of the shape of a periodic function with unknown period corrupted by white noise. Mathematical Methods of Statistics. 15(2). 146–175. 3 indexed citations
20.
Lavielle, Marc & Céline Lévy‐Leduc. (2005). Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals. IEEE Transactions on Signal Processing. 53(7). 2306–2314. 19 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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