Matan Gavish
- Artificial Intelligence top 10%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Signal Processing top 5%
- Co-authors
- David L. DonohoRonald R. CoifmanBoaz NadlerRon BekkermanRichard G. BaraniukAndrea MontanariDan TurnerAnne M. Griffiths
- Topics
- Sparse and Compressive Sensing Techniques (8 papers)Inflammatory Bowel Disease (7 papers)Blind Source Separation Techniques (6 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Matan Gavish
28 papers receiving 811 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 186
- Computational Mechanics 169
- Computer Vision and Pattern Recognition 145
- Statistical and Nonlinear Physics 139
- Signal Processing 105
Countries citing papers authored by Matan Gavish
This map shows the geographic impact of Matan Gavish'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 Matan Gavish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matan Gavish more than expected).
Fields of papers citing papers by Matan Gavish
This network shows the impact of papers produced by Matan Gavish. 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 Matan Gavish. The network helps show where Matan Gavish may publish in the future.
Co-authorship network of co-authors of Matan Gavish
This figure shows the co-authorship network connecting the top 25 collaborators of Matan Gavish. A scholar is included among the top collaborators of Matan Gavish 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 Matan Gavish. Matan Gavish 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 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 30 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | The Optimal Hard Threshold for Singular Values is <inline-formula> <tex-math notation="TeX">\(4/\sqrt {3}\) </tex-math></inline-formula>breakdown → | 374 |
| 14 | 1 | |
| 15 | 31 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 31 | |
| 19 | Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning | 104 |
| 20 | 5 |
About Matan Gavish
Matan Gavish is a scholar working on Signal Processing, Statistics and Probability and Information Systems and Management, having authored 30 papers that have together received 847 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Inflammatory Bowel Disease (7 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Computational Mathematics (12 citations), Statistical and Nonlinear Physics (139 citations) and Signal Processing (105 citations). Matan Gavish has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include David L. Donoho, Ronald R. Coifman, Boaz Nadler, Ron Bekkerman, Richard G. Baraniuk, Andrea Montanari, Dan Turner, Anne M. Griffiths, Eva Coppenrath and Amnon Buxboim. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.
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.