Léo Miolane

530 total citations
7 papers, 241 citations indexed

About

Léo Miolane is a scholar working on Computational Mechanics, Statistics and Probability and Signal Processing. According to data from OpenAlex, Léo Miolane has authored 7 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 4 papers in Statistics and Probability and 3 papers in Signal Processing. Recurrent topics in Léo Miolane's work include Sparse and Compressive Sensing Techniques (4 papers), Neural Networks and Applications (3 papers) and Random Matrices and Applications (3 papers). Léo Miolane is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Neural Networks and Applications (3 papers) and Random Matrices and Applications (3 papers). Léo Miolane collaborates with scholars based in France, Switzerland and India. Léo Miolane's co-authors include Marc Lelarge, Florent Krząkała, Jean Barbier, Nicolas Macris, Lenka Zdeborová, Andrea Montanari, Francesco Caltagirone and Aukosh Jagannath and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Probability Theory and Related Fields and The Annals of Applied Probability.

In The Last Decade

Léo Miolane

7 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Léo Miolane France	6	118	78	73	45	33	7	241
Alexander S. Wein United States	8	61 0.5×	50 0.6×	45 0.6×	30 0.7×	7 0.2×	23	159
Colin Sandon United States	7	59 0.5×	97 1.2×	22 0.3×	13 0.3×	33 1.0×	11	211
Samuel B. Hopkins United States	6	52 0.4×	53 0.7×	51 0.7×	31 0.7×	13 0.4×	16	161
Delphine Féral France	5	256 2.2×	34 0.4×	48 0.7×	35 0.8×	6 0.2×	7	307
Luca Saglietti Italy	7	18 0.2×	157 2.0×	19 0.3×	20 0.4×	20 0.6×	16	228
Phan-Minh Nguyen United States	4	43 0.4×	159 2.0×	36 0.5×	6 0.1×	12 0.4×	7	248
Jiaxi Ying Hong Kong	9	13 0.1×	51 0.7×	91 1.2×	34 0.8×	18 0.5×	27	277
Jesús Gutiérrez-Gutiérrez Spain	11	23 0.2×	26 0.3×	24 0.3×	53 1.2×	91 2.8×	48	310
Shashanka Ubaru United States	7	14 0.1×	49 0.6×	37 0.5×	24 0.5×	4 0.1×	25	163
Veronica Umanità Italy	9	67 0.6×	151 1.9×	33 0.5×	6 0.1×	6 0.2×	27	320

Countries citing papers authored by Léo Miolane

Since Specialization

Citations

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

Fields of papers citing papers by Léo Miolane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Léo Miolane

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

All Works

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7 of 7 papers shown

1.

Jagannath, Aukosh, et al.. (2020). Statistical thresholds for tensor PCA. The Annals of Applied Probability. 30(4). 12 indexed citations

2.

Barbier, Jean, Florent Krząkała, Nicolas Macris, Léo Miolane, & Lenka Zdeborová. (2019). Optimal errors and phase transitions in high-dimensional generalized linear models. Proceedings of the National Academy of Sciences. 116(12). 5451–5460. 97 indexed citations

3.

Miolane, Léo & Andrea Montanari. (2018). The distribution of the Lasso: Uniform control over sparse balls and\n adaptive parameter tuning. arXiv (Cornell University). 39 indexed citations

4.

Lelarge, Marc & Léo Miolane. (2018). Fundamental limits of symmetric low-rank matrix estimation. Probability Theory and Related Fields. 173(3-4). 859–929. 70 indexed citations

5.

Barbier, Jean, Florent Krząkała, Nicolas Macris, Léo Miolane, & Lenka Zdeborová. (2017). Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models. 7 indexed citations

6.

Barbier, Jean, Florent Krząkała, Nicolas Macris, Léo Miolane, & Lenka Zdeborová. (2017). Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models. arXiv (Cornell University). 728–731. 4 indexed citations

7.

Caltagirone, Francesco, Marc Lelarge, & Léo Miolane. (2017). Recovering Asymmetric Communities in the Stochastic Block Model. IEEE Transactions on Network Science and Engineering. 5(3). 237–246. 12 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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