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Fluid Dynamics Simulations and Interactions

Fluid Dynamics Simulations and Interactions is a research topic within Computational Mechanics. Science Explorer counts 31k research works in it since 1950. 16.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application and development of Smoothed Particle Hydrodynamics (SPH) in fluid dynamics, particularly in simulating free-surface flows, fluid-structure interactions, wave impacts, and multi-phase flows. It also explores numerical simulation techniques and the use of particle methods such as the Material Point Method and Incompressible SPH.

  • Smoothed Particle Hydrodynamics
  • SPH Method
  • Fluid-Structure Interaction
  • Free-Surface Flows
  • Numerical Simulation
  • Incompressible SPH
  • Particle Methods
  • Wave Impact
  • Multi-Phase Flows
  • Material Point Method
Research works
31k
fractional, since 1950
In the world top 10%
5.2k
per year above
Top-10% rate
16.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+28%
the tick is no change

Which countries lead Fluid Dynamics Simulations and Interactions research?

By volume, China and the United States publish the most (2.8k and 500 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.8k works
  2. 2 United States 500 works
  3. 3 India 373 works
  4. 4 Japan 247 works
  5. 5 United Kingdom 195 works
  6. 6 France 175 works
  7. 7 Germany 165 works
  8. 8 South Korea 155 works
  9. 9 Italy 149 works
  10. 10 Iran 138 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: 56.9%United States: 10.3%India: 7.7%Japan: 5.1%6 others listed: 20.1%57%largest
China2,771 · 56.9%United States500 · 10.3%India373 · 7.7%Japan247 · 5.1%6 others listed977 · 20.1%

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

Which institutions lead Fluid Dynamics Simulations and Interactions research?

By volume in 2022–2025, Harbin Engineering University publishes the most Fluid Dynamics Simulations and Interactions research, followed by Dalian University of Technology and Shanghai Jiao Tong University.

Who are the leading researchers in Fluid Dynamics Simulations and Interactions?

The most-cited researchers publishing on Fluid Dynamics Simulations and Interactions include Lars Hernquist, Ted Belytschko and Timon Rabczuk.

  1. 1 Lars Hernquist United States 4.5k citations
  2. 2 Ted Belytschko United States 4.1k citations
  3. 3 Timon Rabczuk Germany 2.7k citations

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

Where is Fluid Dynamics Simulations and Interactions research done?

The largest centres of Fluid Dynamics Simulations and Interactions research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Zhoushan, Dalian and Zhenjiang.

Largest cities, 2022–2025

  1. 1 Beijing China 431 works
  2. 2 Shanghai China 263 works
  3. 3 Nanjing China 197 works
  4. 4 Wuhan China 197 works
  5. 5 Harbin China 184 works
  6. 6 Dalian China 155 works
  7. 7 Xi'an China 142 works
  8. 8 Hangzhou China 98 works
  9. 9 Qingdao China 86 works
  10. 10 Guangzhou China 86 works

Where it is the local speciality

  1. ZhoushanCN · 26.4 works22×
  2. DalianCN · 155.4 works9.9×
  3. ZhenjiangCN · 61.4 works9.2×
  4. HarbinCN · 184.5 works7.6×
← less than its size predictsmore →

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

See Fluid Dynamics Simulations and Interactions on the map

Where is the best place to study Fluid Dynamics Simulations and Interactions?

Among universities, judged by research, University of Strathclyde, Dalian University of Technology and Jiangsu University of Science and Technology 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%20%40%mean 28.95%fractional works in this node (log) →share in the world top 10% →University of Strathclyde: 20, 33.8%Dalian University of Technology: 109, 30.0%Jiangsu University of Science and Technology: 44, 22.5%Harbin Engineering University: 114, 26.4%Zhejiang Ocean University: 25, 26.6%Shanghai Jiao Tong University: 104, 25.3%Hohai University: 54, 29.0%Nanjing University of Science and Technology: 49, 26.4%Sanya University: 10, 46.3%Ocean University of China: 41, 23.2%University of Strath…Dalian University of…Harbin Engineering U…Jiangsu University o…
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 University of StrathclydeUnited Kingdom 63.733.8%12.4×20 +133.5%
2 Dalian University of TechnologyChina 63.130.0%19.0×109 +7.5%
3 Jiangsu University of Science and TechnologyChina 62.622.5%23.6×44 +178.2%
4 Harbin Engineering UniversityChina 62.426.4%36.1×114 +28.4%
5 Zhejiang Ocean UniversityChina 62.026.6%25.2×25 +197.1%
6 Shanghai Jiao Tong UniversityChina 58.425.3%8.0×104 +57.0%
7 Hohai UniversityChina 57.529.0%16.2×54 +0.9%
8 Nanjing University of Science and TechnologyChina 56.826.4%9.9×49 +43.0%
9 Sanya UniversityChina 55.546.3%12.6×10
10 Ocean University of ChinaChina 55.323.2%13.5×41 +48.4%

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 Simulations and Interactions research growing?

Output in 2018–2022 was 28% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Fluid Dynamics Simulations and Interactions.

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.