Dmitry S. Kamenetskiy

443 total citations
23 papers, 355 citations indexed

About

Dmitry S. Kamenetskiy is a scholar working on Computational Mechanics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Dmitry S. Kamenetskiy has authored 23 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 5 papers in Applied Mathematics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Dmitry S. Kamenetskiy's work include Computational Fluid Dynamics and Aerodynamics (19 papers), Advanced Numerical Methods in Computational Mathematics (17 papers) and Fluid Dynamics and Turbulent Flows (11 papers). Dmitry S. Kamenetskiy is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (19 papers), Advanced Numerical Methods in Computational Mathematics (17 papers) and Fluid Dynamics and Turbulent Flows (11 papers). Dmitry S. Kamenetskiy collaborates with scholars based in United States, Australia and France. Dmitry S. Kamenetskiy's co-authors include Michael A. Park, Forrester T. Johnson, Frédéric Alauzet, John E. Bussoletti, V. Venkatakrishnan, Adrien Loseille, Marshall C. Galbraith, W. Kyle Anderson, Todd Michal and Robin G. Melvin and has published in prestigious journals such as Journal of Fluid Mechanics, AIAA Journal and International Journal of Heat and Fluid Flow.

In The Last Decade

Dmitry S. Kamenetskiy

22 papers receiving 350 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dmitry S. Kamenetskiy United States 11 322 86 58 33 32 23 355
Marco Ceze United States 12 353 1.1× 70 0.8× 50 0.9× 34 1.0× 26 0.8× 26 392
Steve L. Karman United States 13 424 1.3× 183 2.1× 63 1.1× 102 3.1× 18 0.6× 52 490
Aravind Balan Germany 11 268 0.8× 33 0.4× 35 0.6× 18 0.5× 15 0.5× 21 309
S.P. Spekreijse Netherlands 9 270 0.8× 79 0.9× 64 1.1× 16 0.5× 20 0.6× 20 325
Todd Michal United States 10 342 1.1× 150 1.7× 58 1.0× 60 1.8× 9 0.3× 26 381
Tim A. Albring Germany 11 214 0.7× 161 1.9× 33 0.6× 5 0.2× 39 1.2× 21 302
Olivier Amoignon Sweden 8 260 0.8× 128 1.5× 32 0.6× 29 0.9× 36 1.1× 16 313
Mihai C. Duta United Kingdom 8 392 1.2× 181 2.1× 62 1.1× 9 0.3× 46 1.4× 14 494
Ken Gee United States 12 246 0.8× 216 2.5× 41 0.7× 7 0.2× 19 0.6× 38 374
S. Pirzadeh United States 8 479 1.5× 244 2.8× 157 2.7× 22 0.7× 15 0.5× 8 551

Countries citing papers authored by Dmitry S. Kamenetskiy

Since Specialization
Citations

This map shows the geographic impact of Dmitry S. Kamenetskiy'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 S. Kamenetskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry S. Kamenetskiy more than expected).

Fields of papers citing papers by Dmitry S. Kamenetskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry S. Kamenetskiy. 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 S. Kamenetskiy. The network helps show where Dmitry S. Kamenetskiy may publish in the future.

Co-authorship network of co-authors of Dmitry S. Kamenetskiy

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry S. Kamenetskiy. A scholar is included among the top collaborators of Dmitry S. Kamenetskiy 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 S. Kamenetskiy. Dmitry S. Kamenetskiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Crouch, J. D., et al.. (2024). Weakly nonlinear behaviour of transonic buffet on airfoils. Journal of Fluid Mechanics. 999.
2.
Kamenetskiy, Dmitry S., Frédéric Alauzet, Adrien Loseille, et al.. (2022). Anisotropic Goal-Based Mesh Adaptation Metric Clarification and Development. AIAA SCITECH 2022 Forum. 5 indexed citations
3.
Michal, Todd, Dmitry S. Kamenetskiy, Marshall C. Galbraith, et al.. (2021). Comparing Unstructured Adaptive Mesh Solutions for the High Lift Common Research Airfoil. AIAA Journal. 59(9). 3566–3584. 22 indexed citations
4.
Park, Michael A., Aravind Balan, Frédéric Alauzet, et al.. (2021). Verification of Viscous Goal-Based Anisotropic Mesh Adaptation. AIAA Scitech 2021 Forum. 4 indexed citations
5.
Galbraith, Marshall C., Michael A. Park, Aravind Balan, et al.. (2020). Verification of Unstructured Grid Adaptation Components. AIAA Journal. 58(9). 3947–3962. 21 indexed citations
6.
Huang, Arthur C., et al.. (2020). A Variational Multiscale Method with Discontinuous Subscales for Output-Based Adaptation of Aerodynamic Flows. AIAA Scitech 2020 Forum. 20 indexed citations
7.
Huang, Arthur C., et al.. (2020). Correction: A Variational Multiscale Method with Discontinuous Subscales for Output-Based Adaptation of Aerodynamic Flows. AIAA Scitech 2020 Forum. 5 indexed citations
8.
Kamenetskiy, Dmitry S., Marshall C. Galbraith, Michael A. Park, et al.. (2020). Comparing Unstructured Adaptive Mesh Solutions for the High Lift Common Research Model Airfoil. AIAA AVIATION 2020 FORUM. 7 indexed citations
9.
Balan, Aravind, Michael A. Park, W. Kyle Anderson, et al.. (2020). Verification of Anisotropic Mesh Adaptation for Turbulent Simulations over ONERA M6 Wing. AIAA Journal. 58(4). 1550–1565. 32 indexed citations
10.
Park, Michael A., Aravind Balan, W. Kyle Anderson, et al.. (2019). Verification of Unstructured Grid Adaptation Components. AIAA Scitech 2019 Forum. 17 indexed citations
11.
Kamenetskiy, Dmitry S., et al.. (2018). Generation of Anisotropic Adaptive Meshes for the First AIAA Geometry and Mesh Generation Workshop. 2018 AIAA Aerospace Sciences Meeting. 7 indexed citations
12.
Park, Michael A., et al.. (2018). Unstructured Grid Adaptation and Solver Technology for Turbulent Flows. 2018 AIAA Aerospace Sciences Meeting. 20 indexed citations
13.
Alauzet, Frédéric, et al.. (2018). Comparing Anisotropic Error Estimates for the Onera M6 Wing RANS Simulations. 2018 AIAA Aerospace Sciences Meeting. 13 indexed citations
14.
Kamenetskiy, Dmitry S., et al.. (2017). Comparison of Fixed and Adaptive Unstructured Grid Results for Drag Prediction Workshop 6. 55th AIAA Aerospace Sciences Meeting. 5 indexed citations
15.
Michal, Todd, et al.. (2017). Comparison of Fixed and Adaptive Unstructured Grid Results for Drag Prediction Workshop 6. Journal of Aircraft. 55(4). 1420–1432. 15 indexed citations
16.
Williams, David, Dmitry S. Kamenetskiy, & Philippe R. Spalart. (2016). On stagnation pressure increases in calorically perfect, ideal gases. International Journal of Heat and Fluid Flow. 58. 40–53. 6 indexed citations
17.
Young, David P., et al.. (2015). A Study Based on the AIAA Aerodynamic Design Optimization Discussion Group Test Cases. 53rd AIAA Aerospace Sciences Meeting. 3 indexed citations
18.
Vassberg, John, et al.. (2015). Study Based on the AIAA Aerodynamic Design Optimization Discussion Group Test Cases. AIAA Journal. 53(7). 1910–1935. 50 indexed citations
19.
Kamenetskiy, Dmitry S., et al.. (2013). Numerical Evidence of Multiple Solutions for the Reynolds-Averaged Navier-Stokes Equations for High-Lift Configurations. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 8 indexed citations
20.
Johnson, Forrester T., Dmitry S. Kamenetskiy, Robin G. Melvin, et al.. (2011). Observations Regarding Algorithms Required for Robust CFD Codes. Mathematical Modelling of Natural Phenomena. 6(3). 2–27. 16 indexed citations

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.

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