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Fluid Dynamics and Turbulent Flows

Fluid Dynamics and Turbulent Flows is a research topic within Computational Mechanics. Science Explorer counts 107k research works in it since 1950. 24.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the dynamics and characteristics of turbulent flows, including boundary layer transition, heat transfer, large-eddy simulation, vortex dynamics, and Reynolds number scaling. It also explores topics such as particle image velocimetry, coherent structures, and hydrodynamic turbulence.

  • Turbulent Flows
  • Vortex Dynamics
  • Large-Eddy Simulation
  • Particle Image Velocimetry
  • Boundary Layer Transition
  • Heat Transfer
  • Fluid Mechanics
  • Reynolds Number Scaling
  • Coherent Structures
  • Hydrodynamic Turbulence
Research works
107k
fractional, since 1950
In the world top 10%
26k
per year above
Top-10% rate
24.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+21%
the tick is no change

Which countries lead Fluid Dynamics and Turbulent Flows research?

By volume, China and the United States publish the most (3.2k and 2.2k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.2k works
  2. 2 United States 2.2k works
  3. 3 India 1.9k works
  4. 4 France 641 works
  5. 5 Germany 584 works
  6. 6 United Kingdom 560 works
  7. 7 Russia 542 works
  8. 8 Pakistan 491 works
  9. 9 Japan 462 works
  10. 10 Saudi Arabia 401 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.

China: 29.3%United States: 20.2%India: 17.2%France: 5.8%6 others listed: 27.5%29%largest
China3,245 · 29.3%United States2,234 · 20.2%India1,907 · 17.2%France641 · 5.8%6 others listed3,040 · 27.5%

Shares of the rows listed above, not of the whole node.

Which institutions lead Fluid Dynamics and Turbulent Flows research?

By volume in 2022–2025, Beihang University publishes the most Fluid Dynamics and Turbulent Flows research, followed by Northwestern Polytechnical University and Nanjing University of Aeronautics and Astronautics.

Who are the leading researchers in Fluid Dynamics and Turbulent Flows?

The most-cited researchers publishing on Fluid Dynamics and Turbulent Flows include Stanley Osher, George Em Karniadakis and R. D. Blandford.

  1. 1 Stanley Osher United States 8k citations
  2. 2 George Em Karniadakis United States 6.3k citations
  3. 3 R. D. Blandford United States 4.8k citations
  4. 4 Tasawar Hayat Pakistan 4.6k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Fluid Dynamics and Turbulent Flows research done?

The largest centres of Fluid Dynamics and Turbulent Flows research in 2022–2025 are Beijing (China), Xi'an (China), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Zhukovskiy, Davanagere District and Hampton.

Largest cities, 2022–2025

  1. 1 Beijing China 817 works
  2. 2 Xi'an China 349 works
  3. 3 Shanghai China 270 works
  4. 4 Nanjing China 221 works
  5. 5 Islamabad Pakistan 204 works
  6. 6 Moscow Russia 197 works
  7. 7 Paris France 183 works
  8. 8 Chennai India 163 works
  9. 9 Tokyo Japan 151 works
  10. 10 Changsha China 141 works

Where it is the local speciality

  1. ZhukovskiyRU · 36.2 works124×
  2. Davanagere DistrictIN · 25.8 works67×
  3. HamptonUS · 59.1 works44×
  4. Wright-Patterson AFBUS · 45.7 works31×
  5. ÉcullyFR · 23.9 works30×
← less than its size predictsmore →

Location quotient: how much more of its research is in Fluid Dynamics and Turbulent Flows than the world average.

See Fluid Dynamics and Turbulent Flows on the map

Where is the best place to study Fluid Dynamics and Turbulent Flows?

Among universities, judged by research, King Khalid University, COMSATS University Islamabad and Quaid-i-Azam 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.

0%25%50%75%mean 36.35%fractional works in this node (log) →share in the world top 10% →King Khalid University: 68, 32.9%COMSATS University Islamabad: 48, 25.6%Quaid-i-Azam University: 30, 36.2%Beihang University: 179, 35.8%Northwestern Polytechnical University: 175, 34.8%Babol Noshirvani University of Technology: 10, 60.8%National University of Defense Technology: 104, 33.1%Nanjing University of Aeronautics and Astronautics: 134, 26.8%Future University in Egypt: 17, 38.1%Hazara University: 12, 39.4%Quaid-i-Azam Univers…Beihang UniversityKing Khalid UniversityCOMSATS University I…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 King Khalid UniversitySaudi Arabia 79.432.9%12.9×68 +247.5%
2 COMSATS University IslamabadPakistan 71.525.6%14.2×48 +198.7%
3 Quaid-i-Azam UniversityPakistan 70.436.2%13.7×30 +174.9%
4 Beihang UniversityChina 68.735.8%11.2×179 +25.7%
5 Northwestern Polytechnical UniversityChina 68.234.8%10.6×175 +25.7%
6 Babol Noshirvani University of TechnologyIran 67.360.8%7.8×10 +572.4%
7 National University of Defense TechnologyChina 66.233.1%9.3×104 +116.4%
8 Nanjing University of Aeronautics and AstronauticsChina 63.626.8%10.4×134 +50.3%
9 Future University in EgyptEgypt 61.738.1%21.8×17
10 Hazara UniversityPakistan 59.439.4%17.1×12

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 Fluid Dynamics and Turbulent Flows research growing?

Output in 2018–2022 was 21% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Fluid Dynamics and Turbulent Flows.

19801990200020102020
grewheldshrank

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.