Yonina C. Eldar
Impact in
- Computational Mechanics top 0.01%
- Sparse and Compressive Sensing Techniques
- Aerospace Engineering top 0.01%
- Radar Systems and Signal Processing
Papers in
-
- Sparse and Compressive Sensing Techniques 329
-
- Mathematical Analysis and Transform Methods 128
- Statistical and numerical algorithms 42
- Co-authors
- Moshe Mishali (22 shared papers)Nir Shlezinger (114 shared papers)Gitta Kutyniok (3 shared papers)Ami Wiesel (18 shared papers)Fan Liu (15 shared papers)Christos Masouros (9 shared papers)Marco F. Duarte (2 shared papers)Shlomo Shitz Shamai (10 shared papers)
- Journals
- IEEE Transactions on Signal Processing (148 papers)IEEE Transactions on Information Theory (42 papers)IEEE Signal Processing Magazine (26 papers)IEEE Transactions on Wireless Communications (25 papers)IEEE Transactions on Communications (17 papers)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Yonina C. Eldar
936 papers receiving 44k citations
Yonina C. Eldar's Hit Papers
Peers
Comparison fields: 5 of 165
- Computational Mechanics 12.3k
- Aerospace Engineering 8.6k
- Signal Processing 2.6k
- Acoustics and Ultrasonics 332
- Computational Mathematics 162
Countries citing papers authored by Yonina C. Eldar
This map shows the geographic impact of Yonina C. Eldar'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 Yonina C. Eldar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonina C. Eldar more than expected).
Fields of papers citing papers by Yonina C. Eldar
This network shows the impact of papers produced by Yonina C. Eldar. 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 Yonina C. Eldar. The network helps show where Yonina C. Eldar may publish in the future.
Co-authors
The 25 scholars most cited alongside Yonina C. Eldar, 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 977 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond Hit paper breakdown → | 2022 | 2493 |
| 2 | Compressed sensing : theory and applications Hit paper breakdown → | 2012 | 1351 |
| 3 | Block-Sparse Signals: Uncertainty Relations and Efficient Recovery Hit paper breakdown → | 2010 | 1052 |
| 4 | Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing Hit paper breakdown → | 2021 | 926 |
| 5 | From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals Hit paper breakdown → | 2010 | 874 |
| 6 | Phase Retrieval with Application to Optical Imaging: A contemporary overview Hit paper breakdown → | 2015 | 829 |
| 7 | Structured Compressed Sensing: From Theory to Applications Hit paper breakdown → | 2011 | 826 |
| 8 | Linear precoding via conic optimization for fixed MIMO receivers Hit paper breakdown → | 2005 | 795 |
| 9 | Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar Hit paper breakdown → | 2020 | 771 |
| 10 | Robust Recovery of Signals From a Structured Union of Subspaces Hit paper breakdown → | 2009 | 757 |
| 11 | Compressed sensing with coherent and redundant dictionaries Hit paper breakdown → | 2010 | 631 |
| 12 | Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals Hit paper breakdown → | 2009 | 619 |
| 13 | Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming Hit paper breakdown → | 2021 | 576 |
| 14 | Compressed Sensing: List of contributors Hit paper breakdown → | 2012 | 519 |
| 15 | Radar and Communication Coexistence: An Overview: A Review of Recent Methods Hit paper breakdown → | 2019 | 510 |
| 16 | Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Hit paper breakdown → | 2023 | 491 |
| 17 | Convex Optimization in Signal Processing and Communications Hit paper breakdown → | 2009 | 452 |
| 18 | Zero-Forcing Precoding and Generalized Inverses Hit paper breakdown → | 2008 | 450 |
| 19 | Super-resolution Ultrasound Imaging Hit paper breakdown → | 2020 | 409 |
| 20 | Beam Focusing for Near-Field Multiuser MIMO Communications Hit paper breakdown → | 2022 | 374 |
About Yonina C. Eldar
Yonina C. Eldar is a scholar working on Computational Mechanics, Applied Mathematics, Aerospace Engineering, Artificial Intelligence and Signal Processing, having authored 977 papers that have together received 45.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (329 papers), Mathematical Analysis and Transform Methods (128 papers), Radar Systems and Signal Processing (116 papers), Advanced Wireless Communication Technologies (56 papers), Ultrasound Imaging and Elastography (50 papers), Direction-of-Arrival Estimation Techniques (44 papers), Statistical and numerical algorithms (42 papers) and Advanced Wireless Communication Techniques (39 papers). The work is most often cited by research in Computational Mechanics (12.3k citations), Aerospace Engineering (8.6k citations), Signal Processing (2.6k citations), Acoustics and Ultrasonics (332 citations) and Computational Mathematics (162 citations). Yonina C. Eldar has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Moshe Mishali, Nir Shlezinger, Gitta Kutyniok, Ami Wiesel, Fan Liu, Christos Masouros, Marco F. Duarte, Shlomo Shitz Shamai, Jie Xu and Helmut Bölcskei. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, IEEE Signal Processing Magazine, IEEE Transactions on Wireless Communications and IEEE Transactions on Communications.
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.