Computational Fluid Dynamics and Aerodynamics
Computational Fluid Dynamics and Aerodynamics is a research topic within Computational Mechanics. Science Explorer counts 61k research works in it since 1950. 24.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers advances in computational fluid dynamics, including high-order schemes, turbulence modeling, shock-wave interactions, adaptive mesh refinement, supersonic combustion, finite volume methods, detached-eddy simulation, hyperbolic conservation laws, aerostructural analysis, and the use of radial basis functions.
- High-Order Schemes
- Turbulence Modeling
- Shock-Wave Interactions
- Adaptive Mesh Refinement
- Supersonic Combustion
- Finite Volume Methods
- Detached-Eddy Simulation
- Hyperbolic Conservation Laws
- Aerostructural Analysis
- Radial Basis Functions
- Research works
- 61k fractional, since 1950
- In the world top 10%
- 15k per year above
- Top-10% rate
- 24.0% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +9% the tick is no change
Which countries lead Computational Fluid Dynamics and Aerodynamics research?
By volume, China and the United States publish the most (2.6k and 1.6k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.6k works
- 2 United States 1.6k works
- 3 India 579 works
- 4 Russia 432 works
- 5 Germany 383 works
- 6 France 378 works
- 7 United Kingdom 306 works
- 8 Italy 257 works
- 9 Japan 221 works
- 10 South Korea 151 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Computational Fluid Dynamics and Aerodynamics research?
By volume in 2022–2025, Northwestern Polytechnical University publishes the most Computational Fluid Dynamics and Aerodynamics research, followed by Nanjing University of Aeronautics and Astronautics and National University of Defense Technology.
By volume, 2022–2025
- 1 Northwestern Polytechnical University China 178 works
- 2 Nanjing University of Aeronautics and Astronautics China 154 works
- 3 National University of Defense Technology China 136 works
- 4 China Aerodynamics Research and Development Center China 129 works
- 5 Beihang University China 126 works
- 6 Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) Germany 94 works
- 7 Shanghai Jiao Tong University China 64 works
- 8 Harbin Institute of Technology China 62 works
- 9 Langley Research Center United States 59 works
- 10 Institute of Theoretical and Applied Mechanics Russia 57 works
Who are the leading researchers in Computational Fluid Dynamics and Aerodynamics?
The most-cited researchers publishing on Computational Fluid Dynamics and Aerodynamics include Stanley Osher, George Em Karniadakis and Ted Belytschko.
- 1 Stanley Osher 8k citations
- 2 George Em Karniadakis 6.3k citations
- 3 Ted Belytschko 4.1k citations
- 4 Thomas J.R. Hughes 3.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Computational Fluid Dynamics and Aerodynamics research done?
The largest centres of Computational Fluid Dynamics and Aerodynamics research in 2022–2025 are Beijing (China), Xi'an (China), Nanjing (China) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Zhukovskiy, Hampton and Wright-Patterson AFB.
Largest cities, 2022–2025
Where it is the local speciality
- ZhukovskiyRU · 30.5 works187×
- HamptonUS · 81.0 works109×
- Wright-Patterson AFBUS · 42.5 works52×
- MianyangCN · 149.1 works33×
- CranfieldGB · 28.5 works26×
- Colorado SpringsUS · 21.8 works16×
Location quotient: how much more of its research is in Computational Fluid Dynamics and Aerodynamics than the world average.
Where is the best place to study Computational Fluid Dynamics and Aerodynamics?
Among universities, judged by research, National University of Defense Technology, Northwestern Polytechnical University and Beihang University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | National University of Defense Technology China | 70.8 | 33.2% | 21.8× | 136 | +67.3% |
| 2 | Northwestern Polytechnical University China | 68.1 | 29.7% | 19.4× | 178 | +1.7% |
| 3 | Beihang University China | 66.1 | 31.8% | 14.2× | 126 | -10.5% |
| 4 | Nanjing University of Aeronautics and Astronautics China | 63.7 | 24.2% | 21.5× | 154 | +7.1% |
| 5 | Southern University of Science and Technology China | 59.1 | 36.2% | 7.3× | 31 | — |
| 6 | Indian Institute of Technology Kanpur India | 58.0 | 20.1% | 12.3× | 32 | +108.8% |
| 7 | Cranfield University United Kingdom | 56.9 | 22.2% | 25.9× | 28 | +33.3% |
| 8 | Air Force Engineering University China | 55.8 | 40.0% | 10.6× | 12 | +6.4% |
| 9 | University of Stuttgart Germany | 55.5 | 31.6% | 9.1× | 26 | +11.1% |
| 10 | Indian Institute of Space Science and Technology India | 55.5 | 23.9% | 21.4× | 8 | +344.3% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Computational Fluid Dynamics and Aerodynamics research growing?
Output in 2018–2022 was 9% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Computational Fluid Dynamics and Aerodynamics.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.