Lev Sakhnovich
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 5%
- Statistical and Nonlinear Physics top 5%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Vladimir BolotnikovJames RovnyakVadim OlshevskyJ. William HeltonL. A. SakhnovichIsrael GohbergDaniel AlpayAlexander Sakhnovich
- Topics
- Spectral Theory in Mathematical Physics (22 papers)Quantum chaos and dynamical systems (12 papers)advanced mathematical theories (9 papers)
- Journals
- IEEE Transactions on Information TheoryPhysics Letters AJournal of Mathematical Analysis and Applications
- Partner nations
- United StatesUkrainePoland
In The Last Decade
Lev Sakhnovich
46 papers receiving 246 citations
Peers
Comparison fields: 5 of 33
- Mathematical Physics 219
- Computational Theory and Mathematics 125
- Applied Mathematics 120
- Statistical and Nonlinear Physics 114
- Atomic and Molecular Physics, and Optics 54
Countries citing papers authored by Lev Sakhnovich
This map shows the geographic impact of Lev Sakhnovich'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 Lev Sakhnovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lev Sakhnovich more than expected).
Fields of papers citing papers by Lev Sakhnovich
This network shows the impact of papers produced by Lev Sakhnovich. 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 Lev Sakhnovich. The network helps show where Lev Sakhnovich may publish in the future.
Co-authorship network of co-authors of Lev Sakhnovich
This figure shows the co-authorship network connecting the top 25 collaborators of Lev Sakhnovich. A scholar is included among the top collaborators of Lev Sakhnovich 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 Lev Sakhnovich. Lev Sakhnovich 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 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 2 |
About Lev Sakhnovich
Lev Sakhnovich is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Applied Mathematics, having authored 61 papers that have together received 333 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (22 papers), Quantum chaos and dynamical systems (12 papers) and advanced mathematical theories (9 papers). The work is most often cited by research in Mathematical Physics (219 citations), Applied Mathematics (120 citations) and Statistical and Nonlinear Physics (114 citations). Lev Sakhnovich has collaborated with scholars based in United States, Ukraine and Poland. Frequent co-authors include Vladimir Bolotnikov, James Rovnyak, Vadim Olshevsky, J. William Helton, L. A. Sakhnovich, Israel Gohberg, Daniel Alpay and Alexander Sakhnovich. Their work appears in journals such as IEEE Transactions on Information Theory, Physics Letters A and Journal of Mathematical Analysis and Applications.
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.