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Topic · Computational Mechanics

Combustion and flame dynamics

Combustion and flame dynamics is a research topic within Computational Mechanics. Science Explorer counts 53k research works in it since 1950. 23.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the dynamics and stability of turbulent combustion systems, including topics such as large-eddy simulation, premixed combustion, flame dynamics, heat transfer, chemical kinetics, and the control of combustion instabilities. It also covers microscale combustion and the impact of swirl-stabilized combustion on thermoacoustic instabilities.

  • Large-Eddy Simulation
  • Turbulent Flames
  • Combustion Instabilities
  • Premixed Combustion
  • Flame Dynamics
  • Microscale Combustion
  • Heat Transfer
  • Chemical Kinetics
  • Swirl-Stabilized Combustion
  • Thermoacoustic Instabilities
Research works
53k
fractional, since 1950
In the world top 10%
12k
per year above
Top-10% rate
23.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+18%
the tick is no change

Which countries lead Combustion and flame dynamics research?

By volume, China and the United States publish the most (2.9k and 1.1k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.9k works
  2. 2 United States 1.1k works
  3. 3 Germany 470 works
  4. 4 India 468 works
  5. 5 Russia 409 works
  6. 6 France 328 works
  7. 7 United Kingdom 321 works
  8. 8 Japan 255 works
  9. 9 Italy 238 works
  10. 10 South Korea 210 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: 42.9%United States: 16.7%Germany: 7.0%India: 7.0%6 others listed: 26.4%43%largest
China2,865 · 42.9%United States1,112 · 16.7%Germany470 · 7.0%India468 · 7.0%6 others listed1,761 · 26.4%

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

Which institutions lead Combustion and flame dynamics research?

By volume in 2022–2025, Shanghai Jiao Tong University publishes the most Combustion and flame dynamics research, followed by Tsinghua University and Beihang University.

By volume, 2022–2025

  1. 1 Shanghai Jiao Tong UniversityChina 135 works
  2. 2 Tsinghua UniversityChina 123 works
  3. 3 Beihang UniversityChina 122 works
  4. 4 Xi'an Jiaotong UniversityChina 109 works
  5. 5 King Abdullah University of Science and TechnologySaudi Arabia 81 works
  6. 6 Harbin Institute of TechnologyChina 79 works
  7. 7 Northwestern Polytechnical UniversityChina 79 works
  8. 8 Tianjin UniversityChina 77 works
  9. 9 Huazhong University of Science and TechnologyChina 68 works
  10. 10 Nanjing University of Aeronautics and AstronauticsChina 68 works

Where is Combustion and flame dynamics research done?

The largest centres of Combustion and flame dynamics 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 Hangzhou and Orléans.

Largest cities, 2022–2025

  1. 1 Beijing China 699 works
  2. 2 Xi'an China 246 works
  3. 3 Shanghai China 225 works
  4. 4 Nanjing China 167 works
  5. 5 Moscow Russia 146 works
  6. 6 Harbin China 134 works
  7. 7 Wuhan China 126 works
  8. 8 Novosibirsk Russia 109 works
  9. 9 Tianjin China 108 works
  10. 10 Hangzhou China 105 works

Where it is the local speciality

  1. Hangzhou26.7 works22×
  2. OrléansFR · 26.9 works22×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Combustion and flame dynamics than the world average.

See Combustion and flame dynamics on the map

Where is the best place to study Combustion and flame dynamics?

Among universities, judged by research, King Abdullah University of Science and Technology, University of Canterbury and Henan Polytechnic 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%20%40%60%mean 34.74%fractional works in this node (log) →share in the world top 10% →King Abdullah University of Science and Technology: 80, 29.7%University of Canterbury: 16, 54.7%Henan Polytechnic University: 25, 33.0%Beihang University: 122, 31.0%National University of Defense Technology: 54, 37.6%Jiangsu University: 53, 36.5%Northwestern Polytechnical University: 79, 34.0%Xi'an Jiaotong University: 109, 32.5%Shanghai Jiao Tong University: 135, 27.1%Tianjin University: 77, 31.3%University of Canter…Henan Polytechnic Un…Beihang UniversityKing Abdullah Univer…
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 Abdullah University of Science and TechnologySaudi Arabia 79.629.7%35.8×80 +335.5%
2 University of CanterburyNew Zealand 78.154.7%12.2×16 +271.8%
3 Henan Polytechnic UniversityChina 65.533.0%10.7×25 +290.0%
4 Beihang UniversityChina 64.531.0%13.7×122 -0.7%
5 National University of Defense TechnologyChina 63.937.6%8.7×54 +113.7%
6 Jiangsu UniversityChina 63.036.5%8.7×53 +74.8%
7 Northwestern Polytechnical UniversityChina 62.834.0%8.5×79 +58.5%
8 Xi'an Jiaotong UniversityChina 62.532.5%8.4×109 +32.3%
9 Shanghai Jiao Tong UniversityChina 62.427.1%7.8×135 +71.3%
10 Tianjin UniversityChina 62.431.3%8.1×77 +95.2%

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 Combustion and flame dynamics research growing?

Output in 2018–2022 was 18% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Combustion and flame dynamics.

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.