Nicolas Boumal
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
-
- Sparse and Compressive Sensing Techniques 18
- Advanced Numerical Analysis Techniques 4
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- Advanced Optimization Algorithms Research 6
- Co-authors
- Amit Singer (8 shared papers)Pierre-Antoine Absil (5 shared papers)P.-A. Absil (3 shared papers)Coralia Cartis (2 shared papers)Changshuo Liu (1 shared paper)Afonso S. Bandeira (2 shared papers)Yiqiao Zhong (1 shared paper)Tamir Bendory (4 shared papers)
- Journals
- Mathematical Programming (5 papers)SIAM Journal on Optimization (3 papers)IEEE Transactions on Signal Processing (3 papers)IMA Journal of Numerical Analysis (1 paper)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
Nicolas Boumal
38 papers receiving 1.2k citations
Nicolas Boumal's Hit Papers
Peers
Comparison fields: 5 of 86
- Computational Mathematics 69
- Numerical Analysis 207
- Structural Biology 47
- Computational Mechanics 495
- Signal Processing 143
Countries citing papers authored by Nicolas Boumal
This map shows the geographic impact of Nicolas Boumal'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 Nicolas Boumal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Boumal more than expected).
Fields of papers citing papers by Nicolas Boumal
This network shows the impact of papers produced by Nicolas Boumal. 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 Nicolas Boumal. The network helps show where Nicolas Boumal may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Boumal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Introduction to Optimization on Smooth Manifolds Hit paper breakdown → | 2023 | 249 |
| 2 | 2018 | 125 | |
| 3 | RTRMC: A Riemannian trust-region method for low-rank matrix completion | 2011 | 93 |
| 4 | 2016 | 85 | |
| 5 | 2019 | 80 | |
| 6 | 2016 | 74 | |
| 7 | 2015 | 73 | |
| 8 | 2013 | 54 | |
| 9 | 2018 | 49 | |
| 10 | 2017 | 43 | |
| 11 | Optimization and estimation on manifolds | 2014 | 32 |
| 12 | 2013 | 28 | |
| 13 | 2011 | 27 | |
| 14 | 2011 | 26 | |
| 15 | 2013 | 26 | |
| 16 | On the low-rank approach for semidefinite programs arising in synchronization and community detection | 2016 | 23 |
| 17 | 2013 | 21 | |
| 18 | 2022 | 14 | |
| 19 | 2019 | 12 | |
| 20 | 2020 | 11 |
About Nicolas Boumal
Nicolas Boumal is a scholar working on Computational Mechanics, Numerical Analysis, Artificial Intelligence, Computational Theory and Mathematics and Structural Biology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (18 papers), Advanced Optimization Algorithms Research (6 papers), Stochastic Gradient Optimization Techniques (5 papers), Electron and X-Ray Spectroscopy Techniques (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Numerical methods in inverse problems (4 papers), Tensor decomposition and applications (4 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Computational Mathematics (69 citations), Numerical Analysis (207 citations), Structural Biology (47 citations), Computational Mechanics (495 citations) and Signal Processing (143 citations). Nicolas Boumal has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Amit Singer, Pierre-Antoine Absil, P.-A. Absil, Coralia Cartis, Changshuo Liu, Afonso S. Bandeira, Yiqiao Zhong, Tamir Bendory, Vincent D. Blondel and Chao Ma. Their work appears in journals such as Mathematical Programming, SIAM Journal on Optimization, IEEE Transactions on Signal Processing, IMA Journal of Numerical Analysis 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.