Yaakov Tsaig
Impact in
- Acoustics and Ultrasonics top 2%
- Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques
Papers in
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- Advanced Optimization Algorithms Research 2
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- Image and Signal Denoising Methods 6
- Advanced Data Compression Techniques 3
- Co-authors
- David L. DonohoIddo DroriJean‐Luc StarckPeyman MilanfarGene H. GolubMichael EladYashan WangAmnon Levy
- Journals
- IEEE Transactions on Information Theory (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)Signal Processing (2 papers)Journal of Banking & Finance (1 paper)
- Partner nations
- United StatesIsraelNetherlands
In The Last Decade
Yaakov Tsaig
9 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Acoustics and Ultrasonics 93
- Computational Mechanics 1.7k
- Signal Processing 639
- Computer Vision and Pattern Recognition 837
- Computational Mathematics 16
Countries citing papers authored by Yaakov Tsaig
This map shows the geographic impact of Yaakov Tsaig'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 Yaakov Tsaig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaakov Tsaig more than expected).
Fields of papers citing papers by Yaakov Tsaig
This network shows the impact of papers produced by Yaakov Tsaig. 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 Yaakov Tsaig. The network helps show where Yaakov Tsaig may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Yaakov Tsaig, 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 | Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit Hit paper breakdown → | 2012 | 1011 |
| 2 | 2010 | 11 | |
| 3 | Fast Solution of $\ell _{1}$-Norm Minimization Problems When the Solution May Be Sparse Hit paper breakdown → | 2008 | 600 |
| 4 | 2006 | 9 | |
| 5 | 2005 | 25 | |
| 6 | 2005 | 184 | |
| 7 | 2005 | 23 | |
| 8 | Extensions of compressed sensing Hit paper breakdown → | 2005 | 659 |
| 9 | 2004 | 12 |
About Yaakov Tsaig
Yaakov Tsaig is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing and Computational Theory and Mathematics, having authored 9 papers that have together received 2.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Sparse and Compressive Sensing Techniques (6 papers), Advanced Data Compression Techniques (3 papers), Advanced Optimization Algorithms Research (2 papers), Matrix Theory and Algorithms (2 papers), Credit Risk and Financial Regulations (1 paper), Digital Filter Design and Implementation (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (93 citations), Computational Mechanics (1.7k citations), Signal Processing (639 citations), Computer Vision and Pattern Recognition (837 citations) and Computational Mathematics (16 citations). Yaakov Tsaig has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include David L. Donoho, Iddo Drori, Jean‐Luc Starck, Peyman Milanfar, Gene H. Golub, Michael Elad, Yashan Wang and Amnon Levy. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing and Journal of Banking & Finance.
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.