Nail K. Yamaleev
- Computational Mechanics top 1%
- Applied Mathematics top 5%
- Aerospace Engineering top 10%
- Numerical Analysis top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Mark H. CarpenterBoris DiskinEric J. NielsenCharles A. SwansonTravis C. FisherJan NordströmSteven H. FrankelFrederick Ferguson
- Topics
- Computational Fluid Dynamics and Aerodynamics (33 papers)Fluid Dynamics and Turbulent Flows (26 papers)Advanced Numerical Methods in Computational Mathematics (13 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Nail K. Yamaleev
41 papers receiving 734 citations
Peers
Comparison fields: 5 of 49
- Computational Mechanics 671
- Applied Mathematics 193
- Aerospace Engineering 184
- Numerical Analysis 103
- Statistical and Nonlinear Physics 72
Countries citing papers authored by Nail K. Yamaleev
This map shows the geographic impact of Nail K. Yamaleev'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 Nail K. Yamaleev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nail K. Yamaleev more than expected).
Fields of papers citing papers by Nail K. Yamaleev
This network shows the impact of papers produced by Nail K. Yamaleev. 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 Nail K. Yamaleev. The network helps show where Nail K. Yamaleev may publish in the future.
Co-authorship network of co-authors of Nail K. Yamaleev
This figure shows the co-authorship network connecting the top 25 collaborators of Nail K. Yamaleev. A scholar is included among the top collaborators of Nail K. Yamaleev 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 Nail K. Yamaleev. Nail K. Yamaleev 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 | 2 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 14 | |
| 6 | 11 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 114 | |
| 10 | 3 | |
| 11 | 30 | |
| 12 | 0 | |
| 13 | Local-in-time Adjoint-based Method for Optimal Control/Design Optimization of Unsteady Compressible Flows | 1 |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 5 |
About Nail K. Yamaleev
Nail K. Yamaleev is a scholar working on Computational Mechanics, Numerical Analysis and Applied Mathematics, having authored 42 papers that have together received 767 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (33 papers), Fluid Dynamics and Turbulent Flows (26 papers) and Advanced Numerical Methods in Computational Mathematics (13 papers). The work is most often cited by research in Computational Mechanics (671 citations), Numerical Analysis (103 citations) and Applied Mathematics (193 citations). Nail K. Yamaleev has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Mark H. Carpenter, Boris Diskin, Eric J. Nielsen, Charles A. Swanson, Travis C. Fisher, Jan Nordström, Steven H. Frankel, Frederick Ferguson, Timothy S. Fisher and Ram Mohan. Their work appears in journals such as Journal of Computational Physics, AIAA Journal and International Journal of Multiphase Flow.
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.