Rodolphe Jenatton

3.9k total citations
19 papers, 1.1k citations indexed

About

Rodolphe Jenatton is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rodolphe Jenatton has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rodolphe Jenatton's work include Sparse and Compressive Sensing Techniques (10 papers), Machine Learning and Algorithms (4 papers) and Statistical Methods and Inference (4 papers). Rodolphe Jenatton is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Machine Learning and Algorithms (4 papers) and Statistical Methods and Inference (4 papers). Rodolphe Jenatton collaborates with scholars based in France, Germany and United States. Rodolphe Jenatton's co-authors include Guillaume Obozinski, Julien Mairal, Francis Bach, Jean-Yves Audibert, Francis R. Bach, Francis Bach, Cédric Archambeau, Francis Bach, Rémi Gribonval and Jim Huang and has published in prestigious journals such as Food Chemistry, IEEE Transactions on Information Theory and Journal of Machine Learning Research.

In The Last Decade

Rodolphe Jenatton

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rodolphe Jenatton France 14 523 418 353 129 119 19 1.1k
Yiyuan She United States 15 328 0.6× 238 0.6× 292 0.8× 358 2.8× 94 0.8× 35 1.1k
Shao-Bo Lin China 17 245 0.5× 379 0.9× 657 1.9× 88 0.7× 46 0.4× 59 1.1k
Francis R. Bach United States 10 219 0.4× 410 1.0× 319 0.9× 45 0.3× 166 1.4× 11 824
Don Hush United States 17 132 0.3× 237 0.6× 573 1.6× 133 1.0× 78 0.7× 44 963
Penghang Yin United States 13 455 0.9× 276 0.7× 166 0.5× 33 0.3× 66 0.6× 29 843
Mahdi Soltanolkotabi United States 13 295 0.6× 273 0.7× 428 1.2× 37 0.3× 104 0.9× 35 905
Zongben Xu China 7 244 0.5× 196 0.5× 199 0.6× 31 0.2× 49 0.4× 14 732
Mátyás A. Sustik United States 7 233 0.4× 228 0.5× 272 0.8× 150 1.2× 125 1.1× 10 749
Gilles Blanchard Germany 19 133 0.3× 257 0.6× 561 1.6× 225 1.7× 117 1.0× 53 1.1k

Countries citing papers authored by Rodolphe Jenatton

Since Specialization
Citations

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

Fields of papers citing papers by Rodolphe Jenatton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodolphe Jenatton

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

All Works

19 of 19 papers shown
1.
Jenatton, Rodolphe, et al.. (2020). Distilling Ensembles Improves Uncertainty Estimates. 1 indexed citations
2.
Perrone, Valerio, Huibin Shen, Matthias Seeger, Cédric Archambeau, & Rodolphe Jenatton. (2019). Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. arXiv (Cornell University). 32. 12751–12761. 8 indexed citations
3.
Perrone, Valerio, Rodolphe Jenatton, Matthias Seeger, & Cédric Archambeau. (2018). Scalable Hyperparameter Transfer Learning. Neural Information Processing Systems. 31. 6845–6855. 25 indexed citations
4.
Jenatton, Rodolphe, Cédric Archambeau, Javier González, & Matthias Seeger. (2017). Bayesian optimization with tree-structured dependencies. 1655–1664. 17 indexed citations
5.
Jenatton, Rodolphe, Jim Huang, & Cédric Archambeau. (2016). Adaptive algorithms for online convex optimization with long-term constraints. 402–411. 45 indexed citations
6.
Huang, Jim, Rodolphe Jenatton, & Cédric Archambeau. (2016). Online Dual Decomposition for Performance and Delivery-Based Distributed Ad Allocation. 117–126. 3 indexed citations
7.
Mairal, Julien, Rodolphe Jenatton, Guillaume Obozinski, & Francis Bach. (2016). Learning Hierarchical and Topographic Dictionaries with Structured Sparsity. 7 indexed citations
8.
Gribonval, Rémi, et al.. (2015). Sample Complexity of Dictionary Learning and Other Matrix Factorizations. IEEE Transactions on Information Theory. 61(6). 3469–3486. 34 indexed citations
9.
Saveski, Martin, et al.. (2015). One-Pass Ranking Models for Low-Latency Product Recommendations. 1789–1798. 4 indexed citations
10.
Gribonval, Rémi, Rodolphe Jenatton, & Francis Bach. (2015). Sparse and Spurious: Dictionary Learning With Noise and Outliers. IEEE Transactions on Information Theory. 61(11). 6298–6319. 47 indexed citations
11.
Jenatton, Rodolphe, et al.. (2015). Convex Relaxations for Permutation Problems. SIAM Journal on Matrix Analysis and Applications. 36(4). 1465–1488. 16 indexed citations
12.
Bach, Francis, Rodolphe Jenatton, Julien Mairal, & Guillaume Obozinski. (2012). Structured Sparsity through Convex Optimization. Statistical Science. 27(4). 166 indexed citations
13.
Jenatton, Rodolphe, Alexandre Gramfort, Vincent Michel, et al.. (2012). Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity. SIAM Journal on Imaging Sciences. 5(3). 835–856. 51 indexed citations
14.
Bach, Francis, Rodolphe Jenatton, & Julien Mairal. (2011). Optimization with Sparsity-Inducing Penalties (Foundations and Trends(R) in Machine Learning). now publishers, Inc. eBooks. 17 indexed citations
15.
Mairal, Julien, Rodolphe Jenatton, Guillaume Obozinski, & Francis Bach. (2011). Convex and Network Flow Optimization for Structured Sparsity. arXiv (Cornell University). 12(81). 2681–2720. 55 indexed citations
16.
Jenatton, Rodolphe, Alexandre Gramfort, Vincent Michel, et al.. (2011). Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity. arXiv (Cornell University). 69–72. 19 indexed citations
17.
Jenatton, Rodolphe, Julien Mairal, Francis R. Bach, & Guillaume Obozinski. (2010). Proximal Methods for Sparse Hierarchical Dictionary Learning. Food Chemistry. 344. 487–494. 215 indexed citations
18.
Mairal, Julien, Rodolphe Jenatton, Guillaume Obozinski, & Francis Bach. (2010). Network Flow Algorithms for Structured Sparsity. arXiv (Cornell University). 23. 1558–1566. 83 indexed citations
19.
Jenatton, Rodolphe, Jean-Yves Audibert, & Francis Bach. (2009). Structured Variable Selection with Sparsity-Inducing Norms. Journal of Machine Learning Research. 12(84). 2777–2824. 271 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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