Jérémy Rapin

1.1k total citations · 1 hit paper
20 papers, 406 citations indexed

About

Jérémy Rapin is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Jérémy Rapin has authored 20 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Computational Theory and Mathematics. Recurrent topics in Jérémy Rapin's work include Metaheuristic Optimization Algorithms Research (6 papers), Blind Source Separation Techniques (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Jérémy Rapin is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Blind Source Separation Techniques (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Jérémy Rapin collaborates with scholars based in France, United States and Netherlands. Jérémy Rapin's co-authors include Jean‐Luc Starck, J. Bobin, Jean-Rémi King, Charlotte Caucheteux, Alexandre Défossez, Olivier Teytaud, William H. Fennell, Stephen W. Smith, Jia Li and Francisco Pereira and has published in prestigious journals such as Nature Communications, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Jérémy Rapin

19 papers receiving 398 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Decoding speech perception from non-invasive brain recordings

2023 81 citations Alexandre Défossez, Charlotte Caucheteux et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jérémy Rapin France	11	148	83	83	66	39	20	406
Cristhian Potes United States	9	162 1.1×	109 1.3×	49 0.6×	103 1.6×	47 1.2×	17	536
Pradyut Kumar Biswal India	14	207 1.4×	142 1.7×	64 0.8×	103 1.6×	119 3.1×	58	519
Yanli Zhang China	8	237 1.6×	57 0.7×	62 0.7×	133 2.0×	91 2.3×	16	395
Kaushik Majumdar India	12	270 1.8×	44 0.5×	56 0.7×	76 1.2×	15 0.4×	30	392
Anna Senft Miller United Kingdom	6	43 0.3×	52 0.6×	118 1.4×	38 0.6×	47 1.2×	7	327
Ting Hu China	8	313 2.1×	65 0.8×	109 1.3×	139 2.1×	65 1.7×	19	452
Ziya Telatar Türkiye	10	235 1.6×	37 0.4×	135 1.6×	220 3.3×	171 4.4×	56	592
Nithin Nagaraj India	12	110 0.7×	42 0.5×	143 1.7×	120 1.8×	394 10.1×	50	674
Hani Hamdan France	9	102 0.7×	22 0.3×	73 0.9×	66 1.0×	20 0.5×	30	309
Bernhard H. C. Sputh United Kingdom	7	137 0.9×	49 0.6×	60 0.7×	78 1.2×	15 0.4×	26	266

Countries citing papers authored by Jérémy Rapin

Since Specialization

Citations

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

Fields of papers citing papers by Jérémy Rapin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémy Rapin

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

d’Ascoli, Stéphane, et al.. (2025). Towards decoding individual words from non-invasive brain recordings. Nature Communications. 16(1). 10521–10521. 1 indexed citations

Défossez, Alexandre, et al.. (2023). Decoding speech perception from non-invasive brain recordings. Nature Machine Intelligence. 5(10). 1097–1107. 81 indexed citations breakdown →

Raponi, Elena, et al.. (2023). Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym. IEEE Transactions on Evolutionary Computation. 29(1). 91–101. 3 indexed citations

Doerr, Carola, et al.. (2021). Nevergrad. SPIRE - Sciences Po Institutional REpository. 14(1). 8–15. 23 indexed citations

Rozière, Baptiste, Morgane Rivière, Olivier Teytaud, et al.. (2021). Inspirational Adversarial Image Generation. IEEE Transactions on Image Processing. 30. 4036–4045. 11 indexed citations

Meunier, Laurent, Baptiste Rozière, Jérémy Rapin, et al.. (2020). Black-Box Optimization Revisited: Improving Algorithm Selection Wizards\n through Massive Benchmarking. arXiv (Cornell University). 21 indexed citations

Rapin, Jérémy, et al.. (2020). Open source evolutionary structured optimization. 1599–1607. 5 indexed citations

Liu, Jialin, A. Moreau, Mike Preuß, et al.. (2020). Versatile black-box optimization. HAL (Le Centre pour la Communication Scientifique Directe). 620–628. 14 indexed citations

Smith, Stephen W., Jérémy Rapin, Jia Li, et al.. (2019). A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation. IJC Heart & Vasculature. 25. 100423–100423. 29 indexed citations

10.

Rapin, Jérémy, Marcus Gallagher, Pascal Kerschke, Mike Preuß, & Olivier Teytaud. (2019). Exploring the MLDA benchmark on the nevergrad platform. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1888–1896. 10 indexed citations

11.

Rapin, Jérémy, et al.. (2019). Openly revisiting derivative-free optimization. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 267–268. 2 indexed citations

12.

Khalidov, Vasil, Maxime Oquab, Jérémy Rapin, & Olivier Teytaud. (2019). Consistent population control. 116–123. 2 indexed citations

13.

Smith, Stephen W., Brooks Walsh, Kyuhyun Wang, et al.. (2018). A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation. Journal of Electrocardiology. 52. 88–95. 69 indexed citations

14.

Rapin, Jérémy, et al.. (2016). Application of non-negative matrix factorization to LC/MS data. Signal Processing. 123. 75–83. 9 indexed citations

15.

Bobin, J., et al.. (2015). Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources. IEEE Transactions on Signal Processing. 63(5). 1199–1213. 37 indexed citations

16.

Starck, Jean‐Luc, et al.. (2014). Sparse blind source separation for partially correlated sources. HAL (Le Centre pour la Communication Scientifique Directe). 6021–6025.

17.

Rapin, Jérémy, et al.. (2014). NMF with Sparse Regularizations in Transformed Domains. SIAM Journal on Imaging Sciences. 7(4). 2020–2047. 17 indexed citations

18.

Bobin, J., et al.. (2013). Sparse Redundant Formulations And Non-Negativity In Blind Source Separation. INFM-OAR (INFN Catania). 1–5. 1 indexed citations

19.

Rapin, Jérémy, et al.. (2013). Sparse and Non-Negative BSS for Noisy Data. IEEE Transactions on Signal Processing. 61(22). 5620–5632. 19 indexed citations

20.

Bohland, Jason W., et al.. (2012). Network, Anatomical, and Non-Imaging Measures for the Prediction of ADHD Diagnosis in Individual Subjects. Frontiers in Systems Neuroscience. 6. 78–78. 52 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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