Vladislav Voroninski
- Radiation top 1%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 2%
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Thomas StrohmerEmmanuel J. CandèsYonina C. EldarXiaodong LiZhiqiang XuPaul HandAfonso S. BandeiraNicolas Boumal
- Topics
- Sparse and Compressive Sensing Techniques (7 papers)Advanced X-ray Imaging Techniques (4 papers)Optical measurement and interference techniques (3 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Vladislav Voroninski
11 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Radiation 560
- Computer Vision and Pattern Recognition 446
- Computational Mechanics 376
- Electrical and Electronic Engineering 205
- Atomic and Molecular Physics, and Optics 187
Countries citing papers authored by Vladislav Voroninski
This map shows the geographic impact of Vladislav Voroninski'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 Vladislav Voroninski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladislav Voroninski more than expected).
Fields of papers citing papers by Vladislav Voroninski
This network shows the impact of papers produced by Vladislav Voroninski. 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 Vladislav Voroninski. The network helps show where Vladislav Voroninski may publish in the future.
Co-authorship network of co-authors of Vladislav Voroninski
This figure shows the co-authorship network connecting the top 25 collaborators of Vladislav Voroninski. A scholar is included among the top collaborators of Vladislav Voroninski 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 Vladislav Voroninski. Vladislav Voroninski 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 | 1 | |
| 4 | 7 | |
| 5 | Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior. | 4 |
| 6 | 11 | |
| 7 | 6 | |
| 8 | On the low-rank approach for semidefinite programs arising in synchronization and community detection | 23 |
| 9 | 27 | |
| 10 | 252 | |
| 11 | 106 | |
| 12 | PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programmingbreakdown → | 646 |
About Vladislav Voroninski
Vladislav Voroninski is a scholar working on Acoustics and Ultrasonics, Radiation and Computational Mechanics, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Advanced X-ray Imaging Techniques (4 papers) and Optical measurement and interference techniques (3 papers). The work is most often cited by research in Structural Biology (98 citations), Radiation (560 citations) and Acoustics and Ultrasonics (26 citations). Vladislav Voroninski has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Thomas Strohmer, Emmanuel J. Candès, Yonina C. Eldar, Xiaodong Li, Zhiqiang Xu, Paul Hand, Afonso S. Bandeira, Nicolas Boumal, Reinhard Heckel and Wen Huang. Their work appears in journals such as Communications on Pure and Applied Mathematics, SIAM Review and Acta Numerica.
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.