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. 9.8% 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%
- 6k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +10% the tick is no change
- Largest producer
China
38% of the 10 largest, 2022-now
Which countries lead Computational Fluid Dynamics and Aerodynamics research?
By volume, China and the United States publish the most (3k and 2k works in 2022-now).
By volume, 2022-now
- 1
China 3k works
- 2
United States 2k works
- 3
India 650 works
- 4
Russia 455 works
- 5
Germany 437 works
- 6
France 419 works
- 7
United Kingdom 351 works
- 8
Italy 285 works
- 9
Japan 255 works
- 10
South Korea 175 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-now, Russian Academy of Sciences publishes the most Computational Fluid Dynamics and Aerodynamics research, followed by Northwestern Polytechnical University and Nanjing University of Aeronautics and Astronautics.
By volume, 2022-now
- 1
Russian Academy of Sciences
Russia 205 works
- 2
Northwestern Polytechnical University
China 204 works
- 3
Nanjing University of Aeronautics and Astronautics
China 179 works
- 4
National University of Defense Technology
China 157 works
- 5
China Aerodynamics Research and Development Center
China 152 works
- 6
Beihang University
China 150 works
- 7
United States Department of Defense
United States 134 works
- 8
National Aeronautics and Space Administration
United States 134 works
- 9
Centre National de la Recherche Scientifique
France 134 works
- 10
Chinese Academy of Sciences
China 120 works
Who are the leading researchers in Computational Fluid Dynamics and Aerodynamics?
The most-cited researchers publishing on Computational Fluid Dynamics and Aerodynamics include Zhong Lin Wang, Xiaogang Wang and Kai You Wang.
- 1
Zhong Lin Wang
United States 491k citations
- 2
Xiaogang Wang
China 260k citations
- 3
Kai You Wang
China 224k citations
- 4
Hua Zhang
Singapore 196k citations
- 5
Qiang Zhang
China 184k citations
- 6
Jacob Cohen
Israel 170k 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-now 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-now
Where it is the local speciality
- ZhukovskiyRU · 31.4 works187×
- HamptonUS · 91.0 works107×
- Wright-Patterson AFBUS · 50.3 works56×
- MianyangCN · 177.1 works35×
- CranfieldGB · 31.8 works26×
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, Harbin Institute of Technology and Northwestern Polytechnical 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Computational Fluid Dynamics and Aerodynamics, country by countryIs Computational Fluid Dynamics and Aerodynamics research growing?
Output in 2022-2025 was 10% higher than in 2018-2021, 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.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Computational Fluid Dynamics and Aerodynamics as a percentage of every work published that year, 0.039% in 2024.
Fractional works of Computational Fluid Dynamics and Aerodynamics over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
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