Mikhail Zaslavsky
- Geophysics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Numerical Analysis top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Vladimir DruskinLeonid KnizhnermanChad LiebermanValeria SimonciniTarek M. HabashyAria AbubakarA. MamonovRob Remis
- Topics
- Electromagnetic Simulation and Numerical Methods (14 papers)Model Reduction and Neural Networks (12 papers)Geophysical and Geoelectrical Methods (10 papers)
- Partner nations
- United StatesNetherlandsBritish Virgin Islands
In The Last Decade
Mikhail Zaslavsky
27 papers receiving 383 citations
Peers
Comparison fields: 5 of 35
- Geophysics 176
- Electrical and Electronic Engineering 171
- Statistical and Nonlinear Physics 155
- Numerical Analysis 123
- Computational Theory and Mathematics 117
Countries citing papers authored by Mikhail Zaslavsky
This map shows the geographic impact of Mikhail Zaslavsky'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 Mikhail Zaslavsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Zaslavsky more than expected).
Fields of papers citing papers by Mikhail Zaslavsky
This network shows the impact of papers produced by Mikhail Zaslavsky. 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 Mikhail Zaslavsky. The network helps show where Mikhail Zaslavsky may publish in the future.
Co-authorship network of co-authors of Mikhail Zaslavsky
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Zaslavsky. A scholar is included among the top collaborators of Mikhail Zaslavsky 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 Mikhail Zaslavsky. Mikhail Zaslavsky 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 | Clustering of graph vertex subset via Krylov subspace model reduction. | 1 |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 11 | |
| 11 | 41 | |
| 12 | 13 | |
| 13 | On Adaptive Choice of Shifts in Rational Krylov Subspace Reduction of Evolutionary Problems | 2 |
| 14 | 62 | |
| 15 | 36 | |
| 16 | 78 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 1 |
About Mikhail Zaslavsky
Mikhail Zaslavsky is a scholar working on Geophysics, Statistical and Nonlinear Physics and Numerical Analysis, having authored 30 papers that have together received 428 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (14 papers), Model Reduction and Neural Networks (12 papers) and Geophysical and Geoelectrical Methods (10 papers). The work is most often cited by research in Numerical Analysis (123 citations), Geophysics (176 citations) and Statistical and Nonlinear Physics (155 citations). Mikhail Zaslavsky has collaborated with scholars based in United States, Netherlands and British Virgin Islands. Frequent co-authors include Vladimir Druskin, Leonid Knizhnerman, Chad Lieberman, Valeria Simoncini, Vladimir Druskin, Tarek M. Habashy, Aria Abubakar, A. Mamonov, Rob Remis and Sofia Davydycheva. Their work appears in journals such as Journal of Computational Physics, Geophysics and SIAM Journal on Numerical Analysis.
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.