Deanna Needell
- Computational Mechanics top 0.05%
- Biomedical Engineering top 1%
- Signal Processing top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Joel A. TroppRoman VershyninYonina C. EldarRachel WardEmmanuel J. CandèsNathan SrebroAaditya RamdasAnna Ma
- Topics
- Sparse and Compressive Sensing Techniques (70 papers)Stochastic Gradient Optimization Techniques (28 papers)Blind Source Separation Techniques (19 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information TheoryCommunications of the ACM
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Deanna Needell
98 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computational Mechanics 5.0k
- Biomedical Engineering 2.2k
- Signal Processing 1.6k
- Computer Vision and Pattern Recognition 1.4k
- Electrical and Electronic Engineering 1.3k
Countries citing papers authored by Deanna Needell
This map shows the geographic impact of Deanna Needell'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 Deanna Needell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deanna Needell more than expected).
Fields of papers citing papers by Deanna Needell
This network shows the impact of papers produced by Deanna Needell. 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 Deanna Needell. The network helps show where Deanna Needell may publish in the future.
Co-authorship network of co-authors of Deanna Needell
This figure shows the co-authorship network connecting the top 25 collaborators of Deanna Needell. A scholar is included among the top collaborators of Deanna Needell 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 Deanna Needell. Deanna Needell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions | 1 |
| 9 | 11 | |
| 10 | 3 | |
| 11 | Simple Classification Using Binary Data | 4 |
| 12 | Adapted Stochastic Gradient Descent for Linear Systems with Missing Data | 2 |
| 13 | Simple Object Classification Using Binary Data. | 1 |
| 14 | 1 | |
| 15 | Stochastic gradient descent and the randomized Kaczmarz algorithm. | 14 |
| 16 | 169 | |
| 17 | Total variation minimization for stable multidimensional signal recovery | 5 |
| 18 | Compressed sensing with coherent and redundant dictionariesbreakdown → | 532 |
| 19 | 54 | |
| 20 | CoSaMP: Iterative signal recovery from incomplete and inaccurate samplesbreakdown → | 2807 |
About Deanna Needell
Deanna Needell is a scholar working on Computational Mathematics, Computational Mechanics and Signal Processing, having authored 112 papers that have together received 6.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (70 papers), Stochastic Gradient Optimization Techniques (28 papers) and Blind Source Separation Techniques (19 papers). The work is most often cited by research in Computational Mechanics (5.0k citations), Acoustics and Ultrasonics (218 citations) and Computational Mathematics (96 citations). Deanna Needell has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Joel A. Tropp, Roman Vershynin, Yonina C. Eldar, Rachel Ward, Emmanuel J. Candès, Nathan Srebro, Aaditya Ramdas, Anna Ma, Mark A. Davenport and Michael B. Wakin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Communications of the ACM.
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.