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Radiative Heat Transfer Studies

Radiative Heat Transfer Studies is a research topic within Computational Mechanics. Science Explorer counts 21k research works in it since 1950. 12.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the analysis and modeling of radiative heat transfer, with an emphasis on inverse techniques, spectral properties, and interactions with participating media and turbulence. It includes research on Monte Carlo simulations, finite volume methods, and tomography-based reconstructions to study thermal radiation in various complex geometries and materials.

  • Radiative Heat Transfer
  • Inverse Analysis
  • Thermal Radiation
  • Monte Carlo Simulation
  • Participating Media
  • Finite Volume Method
  • Spectral Properties
  • Turbulence-Radiation Interaction
  • Tomography-Based Reconstruction
  • Heat Transfer Modeling
Research works
21k
fractional, since 1950
In the world top 10%
2.7k
per year above
Top-10% rate
12.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+2%
the tick is no change

Which countries lead Radiative Heat Transfer Studies research?

By volume, China and the United States publish the most (1k and 298 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1k works
  2. 2 United States 298 works
  3. 3 Russia 237 works
  4. 4 India 183 works
  5. 5 France 121 works
  6. 6 Germany 102 works
  7. 7 Türkiye 64 works
  8. 8 United Kingdom 63 works
  9. 9 Japan 60 works
  10. 10 Iran 54 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: 46.3%United States: 13.5%Russia: 10.8%India: 8.3%6 others listed: 21.1%46%largest
China1,020 · 46.3%United States298 · 13.5%Russia237 · 10.8%India183 · 8.3%6 others listed464 · 21.1%

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

Which institutions lead Radiative Heat Transfer Studies research?

By volume in 2022–2025, Harbin Institute of Technology publishes the most Radiative Heat Transfer Studies research, followed by Beihang University and Xi'an Jiaotong University.

By volume, 2022–2025

  1. 1 Harbin Institute of Technology China 36 works
  2. 2 Beihang University China 34 works
  3. 3 Xi'an Jiaotong University China 26 works
  4. 4 Northwestern Polytechnical University China 24 works
  5. 5 Shanghai Jiao Tong University China 23 works
  6. 6 Nanjing University of Aeronautics and Astronautics China 22 works
  7. 7 Tsinghua University China 19 works
  8. 8 North China Electric Power University China 19 works
  9. 9 Northeastern University China 19 works
  10. 10 Moscow Aviation Institute Russia 18 works

Who are the leading researchers in Radiative Heat Transfer Studies?

The most-cited researchers publishing on Radiative Heat Transfer Studies include İbrahim Dinçer.

  1. 1 İbrahim Dinçer 5.9k citations

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

Where is Radiative Heat Transfer Studies research done?

The largest centres of Radiative Heat Transfer Studies research in 2022–2025 are Beijing (China), Moscow (Russia), Xi'an (China) and Shanghai (China).

Largest cities, 2022–2025

  1. 1 Beijing China 228 works
  2. 2 Moscow Russia 86 works
  3. 3 Xi'an China 83 works
  4. 4 Shanghai China 72 works
  5. 5 Nanjing China 62 works
  6. 6 Harbin China 51 works
  7. 7 Wuhan China 44 works
  8. 8 Hangzhou China 36 works
  9. 9 Paris France 30 works
  10. 10 Tehran Iran 29 works
See Radiative Heat Transfer Studies on the map

Where is the best place to study Radiative Heat Transfer Studies?

Among universities, judged by research, Beihang University, Harbin Institute of Technology and North China Electric Power 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%mean 21.17%fractional works in this node (log) →share in the world top 10% →Beihang University: 34, 23.6%Harbin Institute of Technology: 36, 20.1%North China Electric Power University: 19, 23.7%Moscow Aviation Institute: 18, 7.4%King Fahd University of Petroleum and Minerals: 9, 26.4%Xi'an Jiaotong University: 26, 24.5%Northeast Electric Power University: 8, 29.7%Nanjing University of Aeronautics and Astronautics: 22, 18.7%Northeastern University: 19, 21.7%Northwestern Polytechnical University: 24, 15.9%North China Electric…Beihang UniversityHarbin Institute of …Moscow Aviation Inst…
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
1Beihang University China 69.823.6%10.3×34 -46.0%
2Harbin Institute of Technology China 63.820.1%7.4×36 +3.9%
3North China Electric Power University China 59.823.7%9.6×19 -51.4%
4Moscow Aviation Institute Russia 58.17.4%38.9×18 +140.4%
5King Fahd University of Petroleum and Minerals Saudi Arabia 58.126.4%8.4×9 -18.7%
6Xi'an Jiaotong University China 57.924.5%5.6×26 -9.0%
7Northeast Electric Power University China 57.829.7%21.7×8 -67.1%
8Nanjing University of Aeronautics and Astronautics China 54.118.7%8.3×22 -43.1%
9Northeastern University China 51.921.7%7.2×19 -40.0%
10Northwestern Polytechnical University China 49.515.9%7.1×24 -43.0%

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 Radiative Heat Transfer Studies research growing?

Output in 2018–2022 was 2% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Radiative Heat Transfer Studies.

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.