Dmitry Savostyanov
- Computational Mathematics top 0.1%
- Computational Theory and Mathematics top 2%
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Sergey DolgovIvan OseledetsBoris N. KhoromskijE. E. TyrtyshnikovIlya KuprovЕ. Е. ТыртышниковLuke EdwardsHeinz‐Jürgen Flad
- Topics
- Tensor decomposition and applications (20 papers)Matrix Theory and Algorithms (10 papers)Blind Source Separation Techniques (4 papers)
- Cited by
- Computational MathematicsStatistical and Nonlinear PhysicsComputational Theory and Mathematics
- Partner nations
- RussiaUnited KingdomGermany
In The Last Decade
Dmitry Savostyanov
23 papers receiving 594 citations
Peers
Comparison fields: 5 of 46
- Computational Mathematics 478
- Computational Theory and Mathematics 234
- Statistical and Nonlinear Physics 202
- Computational Mechanics 140
- Atomic and Molecular Physics, and Optics 127
Countries citing papers authored by Dmitry Savostyanov
This map shows the geographic impact of Dmitry Savostyanov'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 Dmitry Savostyanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Savostyanov more than expected).
Fields of papers citing papers by Dmitry Savostyanov
This network shows the impact of papers produced by Dmitry Savostyanov. 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 Dmitry Savostyanov. The network helps show where Dmitry Savostyanov may publish in the future.
Co-authorship network of co-authors of Dmitry Savostyanov
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Savostyanov. A scholar is included among the top collaborators of Dmitry Savostyanov 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 Dmitry Savostyanov. Dmitry Savostyanov 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 | 1 | |
| 3 | 4 | |
| 4 | 40 | |
| 5 | 27 | |
| 6 | 30 | |
| 7 | 49 | |
| 8 | 20 | |
| 9 | 144 | |
| 10 | 55 | |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 8 | |
| 15 | 63 | |
| 16 | 10 | |
| 17 | 7 | |
| 18 | 30 | |
| 19 | 7 | |
| 20 | 12 |
About Dmitry Savostyanov
Dmitry Savostyanov is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Signal Processing, having authored 24 papers that have together received 648 indexed citations. Recurring topics across this work include Tensor decomposition and applications (20 papers), Matrix Theory and Algorithms (10 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Computational Mathematics (478 citations), Statistical and Nonlinear Physics (202 citations) and Computational Theory and Mathematics (234 citations). Dmitry Savostyanov has collaborated with scholars based in Russia, United Kingdom and Germany. Frequent co-authors include Sergey Dolgov, Ivan Oseledets, Boris N. Khoromskij, E. E. Tyrtyshnikov, Ilya Kuprov, Е. Е. Тыртышников, Luke Edwards, Heinz‐Jürgen Flad, John W. Pearson and Martin Stoll. Their work appears in journals such as Physical Review B, BMC Bioinformatics and Computer Physics Communications.
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.