Rachel Ward
Impact in
- Computational Mathematics top 5%
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Sparse and Compressive Sensing Techniques 34
- Co-authors
- Deanna NeedellHolger RauhutNathan SrebroMassimo FornasierRayan SaabFelix KrahmerSujay SanghaviXiaoxia Wu
- Journals
- IEEE Transactions on Information Theory (4 papers)Applied and Computational Harmonic Analysis (3 papers)Foundations of Computational Mathematics (2 papers)Journal of Approximation Theory (2 papers)SIAM Journal on Mathematical Analysis (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Rachel Ward
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Computational Mathematics 26
- Computational Mechanics 811
- Acoustics and Ultrasonics 19
- Signal Processing 194
- Computer Vision and Pattern Recognition 339
Countries citing papers authored by Rachel Ward
This map shows the geographic impact of Rachel Ward'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 Rachel Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Ward more than expected).
Fields of papers citing papers by Rachel Ward
This network shows the impact of papers produced by Rachel Ward. 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 Rachel Ward. The network helps show where Rachel Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Rachel Ward, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 0 | |
| 6 | Function Approximation via Sparse Random Features. | 2021 | 2 |
| 7 | 2020 | 8 | |
| 8 | AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization | 2018 | 24 |
| 9 | AdaGrad stepsizes: Sharp convergence over nonconvex landscapes | 2018 | 28 |
| 10 | The Local Convexity of Solving Quadratic Equations | 2015 | 5 |
| 11 | 2015 | 18 | |
| 12 | 2015 | 4 | |
| 13 | Coherent Matrix Completion | 2014 | 41 |
| 14 | Coherent Matrix Completion | 2013 | 6 |
| 15 | Stochastic gradient descent and the randomized Kaczmarz algorithm. | 2013 | 14 |
| 16 | Total variation minimization for stable multidimensional signal recovery | 2012 | 5 |
| 17 | Compressive imaging: stable and robust recovery from variable density frequency samples | 2012 | 4 |
| 18 | 2012 | 112 | |
| 19 | 2011 | 143 | |
| 20 | Cross Validation in Compressed Sensing via the Johnson Lindenstrauss Lemma | 2008 | 4 |
About Rachel Ward
Rachel Ward is a scholar working on Computational Mathematics, Computational Mechanics, Statistics and Probability, Mathematical Physics and Signal Processing, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (34 papers), Stochastic Gradient Optimization Techniques (11 papers), Microwave Imaging and Scattering Analysis (11 papers), Blind Source Separation Techniques (8 papers), Numerical methods in inverse problems (7 papers), Medical Imaging Techniques and Applications (5 papers), Image and Signal Denoising Methods (5 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Computational Mathematics (26 citations), Computational Mechanics (811 citations), Acoustics and Ultrasonics (19 citations), Signal Processing (194 citations) and Computer Vision and Pattern Recognition (339 citations). Rachel Ward has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Deanna Needell, Holger Rauhut, Nathan Srebro, Massimo Fornasier, Rayan Saab, Felix Krahmer, Sujay Sanghavi, Xiaoxia Wu, Léon Bottou and Hayden Schaeffer. Their work appears in journals such as IEEE Transactions on Information Theory, Applied and Computational Harmonic Analysis, Foundations of Computational Mathematics, Journal of Approximation Theory and SIAM Journal on Mathematical Analysis.
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.