Samuel Vaiter
Impact in
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques
- Mathematical Physics top 10%
- Numerical methods in inverse problems
Papers in
-
- Sparse and Compressive Sensing Techniques 13
-
- Numerical methods in inverse problems 11
- Co-authors
- Gabriel Peyré (8 shared papers)Jalal Fadili (2 shared papers)Charles‐Alban Deledalle (5 shared papers)Jalal Fadili (6 shared papers)Quentin Klopfenstein (2 shared papers)Mohammad Golbabaee (2 shared papers)Joseph Salmon (3 shared papers)Nicolas Papadakis (2 shared papers)
- Journals
- Journal of Mathematical Imaging and Vision (2 papers)SIAM Journal on Optimization (2 papers)Electronic Journal of Statistics (1 paper)Journal of Optimization Theory and Applications (1 paper)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
Samuel Vaiter
13 papers receiving 197 citations
Peers
Comparison fields: 5 of 47
- Computational Mechanics 144
- Mathematical Physics 56
- Computer Vision and Pattern Recognition 69
- Numerical Analysis 16
- Statistics and Probability 23
Countries citing papers authored by Samuel Vaiter
This map shows the geographic impact of Samuel Vaiter'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 Samuel Vaiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Vaiter more than expected).
Fields of papers citing papers by Samuel Vaiter
This network shows the impact of papers produced by Samuel Vaiter. 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 Samuel Vaiter. The network helps show where Samuel Vaiter may publish in the future.
Co-authors
The 15 scholars most cited alongside Samuel Vaiter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 67 | |
| 2 | 2014 | 58 | |
| 3 | 2015 | 18 | |
| 4 | 2016 | 18 | |
| 5 | 2016 | 14 | |
| 6 | 2021 | 11 | |
| 7 | 2017 | 10 | |
| 8 | 2012 | 4 | |
| 9 | Model Selection with Piecewise Regular Gauges | 2013 | 2 |
| 10 | 2023 | 1 | |
| 11 | The degrees of freedom of the Group Lasso for a General Design | 2012 | 1 |
| 12 | 2020 | 1 | |
| 13 | Partly Smooth Regularization of Inverse Problems | 2014 | 1 |
| 14 | 2018 | 1 | |
| 15 | 2023 | 0 | |
| 16 | Optimality of 1-norm regularization among weighted 1-norms for sparse recovery: a case study on how to find optimal regularizations | 2018 | 0 |
| 17 | 2023 | 0 | |
| 18 | 2022 | 0 |
About Samuel Vaiter
Samuel Vaiter is a scholar working on Computational Mechanics, Mathematical Physics, Statistics and Probability, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 207 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (13 papers), Numerical methods in inverse problems (11 papers), Statistical Methods and Inference (6 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Electrical and Bioimpedance Tomography (2 papers), Complex Network Analysis Techniques (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computational Mechanics (144 citations), Mathematical Physics (56 citations), Computer Vision and Pattern Recognition (69 citations), Numerical Analysis (16 citations) and Statistics and Probability (23 citations). Samuel Vaiter has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Gabriel Peyré, Jalal Fadili, Charles‐Alban Deledalle, Jalal Fadili, Quentin Klopfenstein, Mohammad Golbabaee, Joseph Salmon, Nicolas Papadakis, Antonin Chambolle and Edouard Pauwels. Their work appears in journals such as Journal of Mathematical Imaging and Vision, SIAM Journal on Optimization, Electronic Journal of Statistics, Journal of Optimization Theory and Applications and SIAM Journal on Imaging Sciences.
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.