Sergey Voronin
- Electrical and Electronic Engineering
- Geophysics top 10%
- Global and Planetary Change
- Atmospheric Science
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jarmo PartanenLorenzo M. PolvaniEdwin P. GerberGuust NoletRick ChartrandSteven L. BruntonN. Benjamin ErichsonJ. Nathan Kutz
- Topics
- Sparse and Compressive Sensing Techniques (9 papers)Image and Signal Denoising Methods (9 papers)Lubricants and Their Additives (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaMonthly Weather ReviewGeophysical Journal International
- Partner nations
- UkraineUnited StatesRussia
In The Last Decade
Sergey Voronin
37 papers receiving 509 citations
Peers
Comparison fields: 5 of 83
- Electrical and Electronic Engineering 164
- Geophysics 98
- Global and Planetary Change 92
- Atmospheric Science 84
- Computer Vision and Pattern Recognition 75
Countries citing papers authored by Sergey Voronin
This map shows the geographic impact of Sergey Voronin'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 Sergey Voronin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Voronin more than expected).
Fields of papers citing papers by Sergey Voronin
This network shows the impact of papers produced by Sergey Voronin. 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 Sergey Voronin. The network helps show where Sergey Voronin may publish in the future.
Co-authorship network of co-authors of Sergey Voronin
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Voronin. A scholar is included among the top collaborators of Sergey Voronin 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 Sergey Voronin. Sergey Voronin 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | Conjugate gradient based acceleration for inverse problems | 1 |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 27 | |
| 17 | Inversion with a sparsity constraint: Application to mantle tomography | 2 |
| 18 | 23 | |
| 19 | A new approach to global seismic tomography based on regularization by sparsity in a novel 3D spherical wavelet basis | 2 |
| 20 | Компьютерное моделирование процесса вытяжки полых стаканчиков из сплава АМг6 с учетом реальной структуры материала | 1 |
About Sergey Voronin
Sergey Voronin is a scholar working on Computational Mathematics, General Materials Science and Mechanics of Materials, having authored 54 papers that have together received 541 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Image and Signal Denoising Methods (9 papers) and Lubricants and Their Additives (8 papers). The work is most often cited by research in Geophysics (98 citations), Computational Mathematics (4 citations) and Atmospheric Science (84 citations). Sergey Voronin has collaborated with scholars based in Ukraine, United States and Russia. Frequent co-authors include Jarmo Partanen, Lorenzo M. Polvani, Edwin P. Gerber, Guust Nolet, Rick Chartrand, Steven L. Brunton, N. Benjamin Erichson, J. Nathan Kutz, Frederik J. Simons and Ignace Loris. Their work appears in journals such as SHILAP Revista de lepidopterología, Monthly Weather Review and Geophysical Journal International.
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.