Quentin Berthet

1.1k total citations
18 papers, 398 citations indexed

About

Quentin Berthet is a scholar working on Artificial Intelligence, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Quentin Berthet has authored 18 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Quentin Berthet's work include Sparse and Compressive Sensing Techniques (4 papers), Advanced Memory and Neural Computing (2 papers) and Statistical Methods and Inference (2 papers). Quentin Berthet is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Advanced Memory and Neural Computing (2 papers) and Statistical Methods and Inference (2 papers). Quentin Berthet collaborates with scholars based in United States, Switzerland and United Kingdom. Quentin Berthet's co-authors include Philippe Rigollet, Jean‐Philippe Vert, Felipe Llinares-López, Olivier Teboul, Mathieu Blondel, Jonathan Weed, Andrés Upegui, Howard H. Yang, Waleed Ammar and Andrew Carroll and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Proceedings of the IEEE.

In The Last Decade

Quentin Berthet

17 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quentin Berthet United States	8	138	114	89	70	49	18	398
Nicolas Verzélen France	13	101 0.7×	162 1.4×	40 0.4×	38 0.5×	24 0.5×	28	335
Zhao Ren United States	10	150 1.1×	303 2.7×	128 1.4×	74 1.1×	20 0.4×	25	529
Kshitij Khare United States	13	186 1.3×	283 2.5×	64 0.7×	30 0.4×	11 0.2×	51	449
Lorenzo Orecchia United States	11	141 1.0×	37 0.3×	50 0.6×	59 0.8×	38 0.8×	21	406
Michael Drmota Austria	16	275 2.0×	142 1.2×	72 0.8×	11 0.2×	26 0.5×	72	920
Narayana Santhanam United States	10	391 2.8×	80 0.7×	107 1.2×	12 0.2×	49 1.0×	47	514
Louigi Addario‐Berry Canada	14	62 0.4×	152 1.3×	53 0.6×	10 0.1×	11 0.2×	49	684
Marta Casanellas Spain	11	72 0.5×	32 0.3×	141 1.6×	22 0.3×	10 0.2×	35	549
Ullrich J. Mönich Germany	12	53 0.4×	31 0.3×	33 0.4×	46 0.7×	213 4.3×	100	533
Patricia Reynaud-Bouret France	12	84 0.6×	124 1.1×	108 1.2×	20 0.3×	16 0.3×	32	383

Countries citing papers authored by Quentin Berthet

Since Specialization

Citations

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

Fields of papers citing papers by Quentin Berthet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quentin Berthet

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

All Works

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18 of 18 papers shown

Baid, Gunjan, Daniel E. Cook, Kishwar Shafin, et al.. (2022). DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer. Nature Biotechnology. 41(2). 232–238. 89 indexed citations

Llinares-López, Felipe, Quentin Berthet, Mathieu Blondel, Olivier Teboul, & Jean‐Philippe Vert. (2022). Deep embedding and alignment of protein sequences. Nature Methods. 20(1). 104–111. 26 indexed citations

Miramond, Benoît, et al.. (2022). A Unified Software/Hardware Scalable Architecture for Brain-Inspired Computing Based on Self-Organizing Neural Models. Frontiers in Neuroscience. 16. 825879–825879. 7 indexed citations

Berthet, Quentin, J. Schmidt, & Andrés Upegui. (2022). Hardware Architecture for Asynchronous Cellular Self-Organizing Maps. Electronics. 11(2). 215–215.

Niles‐Weed, Jonathan & Quentin Berthet. (2022). Minimax estimation of smooth densities in Wasserstein distance. The Annals of Statistics. 50(3). 9 indexed citations

Berthet, Quentin, et al.. (2021). An Area-Efficient SPHINCS⁺ Post-Quantum Signature Coprocessor. ArODES (HES-SO (https://www.hes-so.ch/)). 180–187. 23 indexed citations

Berthet, Quentin, et al.. (2021). Fault-Tolerant FPGA-Based Nanosatellite Balancing High-Performance and Safety for Cryptography Application. Electronics. 10(17). 2148–2148. 3 indexed citations

Berthet, Quentin, et al.. (2021). Shuffle to Learn: Self-supervised learning from permutations via differentiable ranking. 1 indexed citations

Berthet, Quentin, Mathieu Blondel, Olivier Teboul, et al.. (2020). Learning with Differentiable Pertubed Optimizers. Neural Information Processing Systems. 33. 9508–9519. 20 indexed citations

10.

Berthet, Quentin, et al.. (2020). Statistical and Computational Rates in Graph Logistic Regression. International Conference on Artificial Intelligence and Statistics. 2719–2730. 3 indexed citations

11.

Berthet, Quentin. (2020). Learning with differentiable perturbed optimizers. 3 indexed citations

12.

Weed, Jonathan & Quentin Berthet. (2019). Estimation of smooth densities in Wasserstein distance. arXiv (Cornell University). 3118–3119. 16 indexed citations

13.

Wang, Tengyao, Quentin Berthet, & Yaniv Plan. (2016). Average-case hardness of RIP certification. UCL Discovery (University College London). 29. 3819–3827. 5 indexed citations

14.

Berthet, Quentin & Venkat Chandrasekaran. (2015). Resource Allocation for Statistical Estimation. Proceedings of the IEEE. 104(1). 111–125. 4 indexed citations

15.

Lissek, Hervé, et al.. (2015). Experimental assessment of active electroacoustic absorbers for broadband room modes damping. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations

16.

Wang, Tengyao, Quentin Berthet, & Richard J. Samworth. (2015). SUPPLEMENTARY MATERIAL TO 'STATISTICAL AND COMPUTATIONAL TRADE-OFFS IN ESTIMATION OF SPARSE PRINCIPAL COMPONENTS'. 4 indexed citations

17.

Berthet, Quentin & Philippe Rigollet. (2013). Complexity Theoretic Lower Bounds for Sparse Principal Component Detection. Conference on Learning Theory. 1046–1066. 73 indexed citations

18.

Berthet, Quentin & Philippe Rigollet. (2013). Optimal detection of sparse principal components in high dimension. The Annals of Statistics. 41(4). 111 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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