D. M. Kuehn
- Computational Mechanics top 2%
- Aerospace Engineering top 5%
- Applied Mathematics top 2%
- Ocean Engineering top 10%
- Environmental Engineering
- Topics
- Computational Fluid Dynamics and Aerodynamics (7 papers)Fluid Dynamics and Turbulent Flows (5 papers)Plasma and Flow Control in Aerodynamics (3 papers)
- Journals
- Applied Physics LettersAIAA JournalApplied Optics
- Partner nations
- United States
In The Last Decade
D. M. Kuehn
12 papers receiving 593 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computational Mechanics 588
- Aerospace Engineering 354
- Applied Mathematics 223
- Ocean Engineering 62
- Environmental Engineering 56
Countries citing papers authored by D. M. Kuehn
This map shows the geographic impact of D. M. Kuehn'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 D. M. Kuehn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. M. Kuehn more than expected).
Fields of papers citing papers by D. M. Kuehn
This network shows the impact of papers produced by D. M. Kuehn. 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 D. M. Kuehn. The network helps show where D. M. Kuehn may publish in the future.
Co-authorship network of co-authors of D. M. Kuehn
This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Kuehn. A scholar is included among the top collaborators of D. M. Kuehn 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 D. M. Kuehn. D. M. Kuehn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 71 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 36 | |
| 5 | Boundary-layer separation and reattachment with and without ablation | 2 |
| 6 | Experimental and Theoretical Pressures on Blunt Cylinders for Equilibrium and Nonequilibrium Air at Hypersonic Speeds | 7 |
| 7 | 1 | |
| 8 | Experimental Investigation of the Pressure Rise Required for the Incipient Separation of Turbulent Boundary Layers in Two-Dimensional Supersonic Flow | 48 |
| 9 | Investigation of separated flows in supersonic and subsonic streams with emphasis on the effect of transitionbreakdown → | 498 |
| 10 | Investigation of the effects of profile shape on the aerodynamic and structural characteristics of thin, two-dimensional airfoils at supersonic speeds | 2 |
| 11 | Preliminary report on a study of separated flows in supersonic and subsonic streams | 7 |
| 12 | Comparison of the experimental and theoretical distribution of lift on a slender inclined body of revolution at M = 2 | 1 |
About D. M. Kuehn
D. M. Kuehn is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics, having authored 12 papers that have together received 678 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (7 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Plasma and Flow Control in Aerodynamics (3 papers). The work is most often cited by research in Computational Mechanics (588 citations), Applied Mathematics (223 citations) and Aerospace Engineering (354 citations). D. M. Kuehn has collaborated with scholars based in United States. Frequent co-authors include Dean R. Chapman, H. K. Larson, D. J. Monson and Edward W Perkins. Their work appears in journals such as Applied Physics Letters, AIAA Journal and Applied Optics.
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.