Maxim A. Olshanskii
- Computational Mechanics top 0.2%
- Advanced Numerical Methods in Computational Mathematics 85
- Computational Fluid Dynamics and Aerodynamics 40
- Fluid Dynamics and Turbulent Flows 18
- Lattice Boltzmann Simulation Studies 13
- Numerical Analysis top 1%
- Numerical methods for differential equations 13
- Computational Theory and Mathematics top 0.5%
- Advanced Mathematical Modeling in Engineering 28
- Matrix Theory and Algorithms 13
- Mechanics of Materials top 5%
- Numerical methods in engineering 14
- Co-authors
- Arnold ReuskenMichele BenziLeo G. RebholzYuri VassilevskiGert LubeJörg GrandeXianmin XuJohannes Löwe
- Journals
- Journal of Computational Physics (8 papers)Biophysical Journal (2 papers)Computer Methods in Applied Mechanics and Engineering (14 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Maxim A. Olshanskii
104 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 84
- Computational Mechanics 2.2k
- Numerical Analysis 534
- Computational Theory and Mathematics 911
- Fluid Flow and Transfer Processes 103
- Mechanics of Materials 403
Countries citing papers authored by Maxim A. Olshanskii
This map shows the geographic impact of Maxim A. Olshanskii'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 Maxim A. Olshanskii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim A. Olshanskii more than expected).
Fields of papers citing papers by Maxim A. Olshanskii
This network shows the impact of papers produced by Maxim A. Olshanskii. 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 Maxim A. Olshanskii. The network helps show where Maxim A. Olshanskii may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maxim A. Olshanskii, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 8 | |
| 14 | 2018 | 49 | |
| 15 | 2018 | 24 | |
| 16 | Application of barycenter refined meshes in linear elasticity and incompressible fluid dynamics | 2011 | 11 |
| 17 | 2008 | 2 | |
| 18 | 2004 | 87 | |
| 19 | 2002 | 24 | |
| 20 | 1999 | 35 |
About Maxim A. Olshanskii
Maxim A. Olshanskii is a scholar working on Computational Mechanics, Numerical Analysis and Computational Mathematics, having authored 110 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (85 papers), Computational Fluid Dynamics and Aerodynamics (40 papers), Advanced Mathematical Modeling in Engineering (28 papers), Fluid Dynamics and Turbulent Flows (18 papers), Numerical methods in engineering (14 papers), Lattice Boltzmann Simulation Studies (13 papers), Numerical methods for differential equations (13 papers) and Matrix Theory and Algorithms (13 papers). The work is most often cited by research in Computational Mechanics (2.2k citations), Numerical Analysis (534 citations) and Computational Theory and Mathematics (911 citations). Maxim A. Olshanskii has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Arnold Reusken, Michele Benzi, Leo G. Rebholz, Yuri Vassilevski, Gert Lube, Jörg Grande, Xianmin Xu, Johannes Löwe, Monika Neda and Carolina C. Manica. Their work appears in journals such as Journal of Computational Physics, Biophysical Journal and Computer Methods in Applied Mechanics and Engineering.
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.