Shai Dekel
- Computational Mechanics top 10%
- Applied Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Mathematical Physics top 10%
- Biomedical Engineering
- Co-authors
- D. LeviatanAmir AverbuchPencho PetrushevArie FeuerEli TurkelGeorge KyriazisWolfgang DahmenDan Givoli
- Topics
- Image and Signal Denoising Methods (10 papers)Mathematical Analysis and Transform Methods (9 papers)Advanced Harmonic Analysis Research (8 papers)
- Journals
- Journal of Computational PhysicsIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Shai Dekel
36 papers receiving 359 citations
Peers
Comparison fields: 5 of 57
- Computational Mechanics 133
- Applied Mathematics 117
- Computer Vision and Pattern Recognition 102
- Mathematical Physics 73
- Biomedical Engineering 55
Countries citing papers authored by Shai Dekel
This map shows the geographic impact of Shai Dekel'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 Shai Dekel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shai Dekel more than expected).
Fields of papers citing papers by Shai Dekel
This network shows the impact of papers produced by Shai Dekel. 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 Shai Dekel. The network helps show where Shai Dekel may publish in the future.
Co-authorship network of co-authors of Shai Dekel
This figure shows the co-authorship network connecting the top 25 collaborators of Shai Dekel. A scholar is included among the top collaborators of Shai Dekel 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 Shai Dekel. Shai Dekel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | Wavelet decompositions of Random Forests: smoothness analysis, sparse approximation and applications | 5 |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | 10 | |
| 17 | 10 | |
| 18 | 13 | |
| 19 | 9 | |
| 20 | 7 |
About Shai Dekel
Shai Dekel is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics, having authored 36 papers that have together received 382 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Mathematical Analysis and Transform Methods (9 papers) and Advanced Harmonic Analysis Research (8 papers). The work is most often cited by research in Acoustics and Ultrasonics (25 citations), Applied Mathematics (117 citations) and Mathematical Physics (73 citations). Shai Dekel has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include D. Leviatan, Amir Averbuch, Pencho Petrushev, Arie Feuer, Eli Turkel, George Kyriazis, Wolfgang Dahmen, Dan Givoli, Nira Dyn and Gérard Kerkyacharian. Their work appears in journals such as Journal of Computational Physics, IEEE Transactions on Image Processing 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.