Shoham Sabach
- Computational Theory and Mathematics top 0.5%
- Computational Mechanics top 1%
- Numerical Analysis top 0.5%
- Geometry and Topology top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Marc TeboulleJérôme BolteSimeon ReichThomas PockAmir BeckVictoria Martín-MárquezG. KassayShimrit Shtern
- Topics
- Advanced Optimization Algorithms Research (20 papers)Sparse and Compressive Sensing Techniques (19 papers)Optimization and Variational Analysis (18 papers)
In The Last Decade
Shoham Sabach
33 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 1.0k
- Computational Mechanics 870
- Numerical Analysis 773
- Geometry and Topology 442
- Computer Vision and Pattern Recognition 414
Countries citing papers authored by Shoham Sabach
This map shows the geographic impact of Shoham Sabach'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 Shoham Sabach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoham Sabach more than expected).
Fields of papers citing papers by Shoham Sabach
This network shows the impact of papers produced by Shoham Sabach. 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 Shoham Sabach. The network helps show where Shoham Sabach may publish in the future.
Co-authorship network of co-authors of Shoham Sabach
This figure shows the co-authorship network connecting the top 25 collaborators of Shoham Sabach. A scholar is included among the top collaborators of Shoham Sabach 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 Shoham Sabach. Shoham Sabach 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 26 | |
| 12 | 119 | |
| 13 | 8 | |
| 14 | 18 | |
| 15 | 49 | |
| 16 | 52 | |
| 17 | 64 | |
| 18 | 28 | |
| 19 | A Characterization of Bregman Firmly Nonexpansive Operators Using a New Monotonicity Concept | 9 |
| 20 | 138 |
About Shoham Sabach
Shoham Sabach is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Mathematical Physics, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (20 papers), Sparse and Compressive Sensing Techniques (19 papers) and Optimization and Variational Analysis (18 papers). The work is most often cited by research in Computational Mathematics (89 citations), Numerical Analysis (773 citations) and Computational Theory and Mathematics (1.0k citations). Shoham Sabach has collaborated with scholars based in Israel, Germany and France. Frequent co-authors include Marc Teboulle, Jérôme Bolte, Simeon Reich, Thomas Pock, Amir Beck, Victoria Martín-Márquez, G. Kassay, Shimrit Shtern, Yoel Drori and Aviv Gibali. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Mathematical Analysis and Applications and Mathematical Programming.
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.