Science Explorer Interactive view Map

Turbomachinery Performance and Optimization

Turbomachinery Performance and Optimization is a research topic within Aerospace Engineering. Science Explorer counts 20k research works in it since 1950. 35.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the aerodynamics and heat transfer phenomena in turbomachinery, with specific emphasis on topics such as turbine performance, film cooling techniques, boundary layer transition modeling, stall and surge control, and separation control. It also includes research on blade tip heat transfer, axial compressor behavior, and the application of large-eddy simulations in understanding complex flow phenomena.

  • Turbine
  • Film Cooling
  • Transition Model
  • Axial Compressor
  • Heat Transfer
  • Stall and Surge
  • Boundary Layer
  • Separation Control
  • Blade Tip
  • Large-Eddy Simulation
Research works
20k
fractional, since 1950
In the world top 10%
7k
per year above
Top-10% rate
35.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+11%
the tick is no change

Which countries lead Turbomachinery Performance and Optimization research?

By volume, China and the United States publish the most (1.4k and 340 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.4k works
  2. 2 United States 340 works
  3. 3 Germany 212 works
  4. 4 United Kingdom 184 works
  5. 5 India 182 works
  6. 6 Italy 118 works
  7. 7 France 76 works
  8. 8 Japan 68 works
  9. 9 South Korea 67 works
  10. 10 Iran 57 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: 51.4%United States: 12.7%Germany: 7.9%United Kingdom: 6.9%6 others listed: 21.2%51%largest
China1,376 · 51.4%United States340 · 12.7%Germany212 · 7.9%United Kingdom184 · 6.9%6 others listed567 · 21.2%

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

Which institutions lead Turbomachinery Performance and Optimization research?

By volume in 2022–2025, Beihang University publishes the most Turbomachinery Performance and Optimization research, followed by Northwestern Polytechnical University and Xi'an Jiaotong University.

Who are the leading researchers in Turbomachinery Performance and Optimization?

The most-cited researchers publishing on Turbomachinery Performance and Optimization include Parviz Moin, Richard M. Murray and Lin Ye.

  1. 1 Parviz Moin United States 2.4k citations
  2. 2 Richard M. Murray United States 1.7k citations
  3. 3 Lin Ye Australia 1.7k citations

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

Where is Turbomachinery Performance and Optimization research done?

The largest centres of Turbomachinery Performance and Optimization 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 Genoa, Mianyang and Cologne.

Largest cities, 2022–2025

  1. 1 Beijing China 424 works
  2. 2 Xi'an China 252 works
  3. 3 Shanghai China 123 works
  4. 4 Nanjing China 90 works
  5. 5 Harbin China 87 works
  6. 6 London United Kingdom 51 works
  7. 7 Munich Germany 48 works
  8. 8 Hangzhou China 39 works
  9. 9 Tokyo Japan 39 works
  10. 10 Tehran Iran 39 works

Where it is the local speciality

  1. GenoaIT · 24.1 works13×
  2. MianyangCN · 21.5 works12×
  3. CologneDE · 38.5 works11×
  4. Xi'anCN · 251.5 works10×
← less than its size predictsmore →

Location quotient: how much more of its research is in Turbomachinery Performance and Optimization than the world average.

See Turbomachinery Performance and Optimization on the map

Where is the best place to study Turbomachinery Performance and Optimization?

Among universities, judged by research, Xi'an Jiaotong University, Beihang University 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.

0%20%40%60%mean 45.39%fractional works in this node (log) →share in the world top 10% →Xi'an Jiaotong University: 108, 48.3%Beihang University: 132, 50.6%Northwestern Polytechnical University: 123, 49.0%Harbin Institute of Technology: 48, 56.4%Nanjing University of Aeronautics and Astronautics: 74, 44.9%Tsinghua University: 63, 44.1%Shanghai Jiao Tong University: 66, 44.7%University of Bath: 13, 42.6%Civil Aviation University of China: 13, 47.5%University of Genoa: 22, 25.8%Harbin Institute of …Beihang UniversityNorthwestern Polytec…Xi'an Jiaotong Unive…
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 Xi'an Jiaotong UniversityChina 74.748.3%21.5×108 +40.4%
2 Beihang UniversityChina 73.350.6%37.9×132 -22.0%
3 Northwestern Polytechnical UniversityChina 72.949.0%34.1×123 -9.9%
4 Harbin Institute of TechnologyChina 69.056.4%9.4×48 -6.1%
5 Nanjing University of Aeronautics and AstronauticsChina 68.344.9%26.4×74 +22.5%
6 Tsinghua UniversityChina 67.544.1%10.3×63 +14.7%
7 Shanghai Jiao Tong UniversityChina 67.144.7%9.8×66 +6.5%
8 University of BathUnited Kingdom 62.242.6%18.1×13 +67.7%
9 Civil Aviation University of ChinaChina 60.747.5%28.3×13 +100.0%
10 University of GenoaItaly 57.425.8%21.2×22 +129.1%

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 Turbomachinery Performance and Optimization research growing?

Output in 2018–2022 was 11% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Turbomachinery Performance and Optimization.

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.