Rodolphe Jenatton
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Statistics and Probability top 5%
- Signal Processing top 5%
- Co-authors
- Guillaume ObozinskiJulien MairalFrancis BachJean-Yves AudibertFrancis R. BachCédric ArchambeauRémi GribonvalJim Huang
- Topics
- Sparse and Compressive Sensing Techniques (10 papers)Machine Learning and Algorithms (4 papers)Statistical Methods and Inference (4 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Rodolphe Jenatton
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Computational Mechanics 523
- Computer Vision and Pattern Recognition 418
- Artificial Intelligence 353
- Statistics and Probability 129
- Signal Processing 119
Countries citing papers authored by Rodolphe Jenatton
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Distilling Ensembles Improves Uncertainty Estimates | 1 |
| 2 | 8 | |
| 3 | Scalable Hyperparameter Transfer Learning | 25 |
| 4 | Bayesian optimization with tree-structured dependencies | 17 |
| 5 | Adaptive algorithms for online convex optimization with long-term constraints | 45 |
| 6 | 3 | |
| 7 | Learning Hierarchical and Topographic Dictionaries with Structured Sparsity | 7 |
| 8 | 34 | |
| 9 | 4 | |
| 10 | 47 | |
| 11 | 16 | |
| 12 | 166 | |
| 13 | 51 | |
| 14 | Optimization with Sparsity-Inducing Penalties (Foundations and Trends(R) in Machine Learning) | 17 |
| 15 | 55 | |
| 16 | 19 | |
| 17 | 215 | |
| 18 | 83 | |
| 19 | 271 |
About Rodolphe Jenatton
Rodolphe Jenatton is a scholar working on Statistics and Probability, Computational Mechanics and Artificial Intelligence, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Machine Learning and Algorithms (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Computational Mathematics (20 citations), Computational Mechanics (523 citations) and Computer Vision and Pattern Recognition (418 citations). Rodolphe Jenatton has collaborated with scholars based in France, Germany and United States. Frequent 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. Their work appears in journals such as Food Chemistry, IEEE Transactions on Information Theory and Journal of Machine Learning Research.
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.