Amir Beck
Impact in
- Numerical Analysis top 0.2%
- Advanced Optimization Algorithms Research
- Computational Mechanics top 0.05%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Advanced Optimization Algorithms Research 32
-
- Sparse and Compressive Sensing Techniques 51
- Co-authors
- Marc TeboulleYonina C. EldarLuba TetruashviliAharon Ben‐TalPetre StoicaJian LiYoav ShechtmanShoham Sabach
- Journals
- SIAM Journal on Optimization (17 papers)Operations Research Letters (9 papers)SIAM Journal on Matrix Analysis and Applications (7 papers)Mathematical Programming (6 papers)IEEE Transactions on Signal Processing (6 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Amir Beck
80 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Numerical Analysis 2.0k
- Computational Mechanics 6.1k
- Computational Mathematics 149
- Computer Vision and Pattern Recognition 3.6k
- Acoustics and Ultrasonics 139
Countries citing papers authored by Amir Beck
This map shows the geographic impact of Amir Beck'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 Amir Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Beck more than expected).
Fields of papers citing papers by Amir Beck
This network shows the impact of papers produced by Amir Beck. 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 Amir Beck. The network helps show where Amir Beck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amir Beck, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 9 | |
| 8 | 2017 | 26 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 31 | |
| 11 | 2014 | 69 | |
| 12 | 2013 | 48 | |
| 13 | On the Convergence of Block Coordinate Descent Type Methods Hit paper breakdown → | 2013 | 320 |
| 14 | Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems Hit paper breakdown → | 2009 | 1361 |
| 15 | A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems Hit paper breakdown → | 2009 | 7544 |
| 16 | 2007 | 56 | |
| 17 | 2007 | 61 | |
| 18 | 2006 | 92 | |
| 19 | Cotton yield mapping: Texas experiences in 1999. | 2000 | 14 |
| 20 | An algorithm for estimating plant height using a light screen. | 2000 | 2 |
About Amir Beck
Amir Beck is a scholar working on Numerical Analysis, Computational Mechanics, Mathematical Physics, Computational Theory and Mathematics and Structural Biology, having authored 83 papers that have together received 14.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (51 papers), Advanced Optimization Algorithms Research (32 papers), Optimization and Variational Analysis (20 papers), Numerical methods in inverse problems (16 papers), Statistical and numerical algorithms (12 papers), Stochastic Gradient Optimization Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Control Systems and Identification (6 papers). The work is most often cited by research in Numerical Analysis (2.0k citations), Computational Mechanics (6.1k citations), Computational Mathematics (149 citations), Computer Vision and Pattern Recognition (3.6k citations) and Acoustics and Ultrasonics (139 citations). Amir Beck has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Marc Teboulle, Yonina C. Eldar, Luba Tetruashvili, Aharon Ben‐Tal, Petre Stoica, Jian Li, Yoav Shechtman, Shoham Sabach, Asuman Ozdaglar and Angelia Nedić. Their work appears in journals such as SIAM Journal on Optimization, Operations Research Letters, SIAM Journal on Matrix Analysis and Applications, Mathematical Programming and IEEE Transactions on Signal Processing.
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.