Science Explorer Interactive view Map

Heat Transfer and Numerical Methods

Heat Transfer and Numerical Methods is a research topic within Computational Mechanics. Science Explorer counts 4.6k research works in it since 1950. 6.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers the fundamentals of heat transfer, numerical methods for thermal analysis, and applications of network simulation method in solving heat and solute transport problems. It also includes topics related to fluid mechanics, finite element analysis, conduction heat transfer, thermal insulation, and heat sink design.

  • Heat Transfer
  • Numerical Methods
  • Fluid Mechanics
  • Thermal Analysis
  • Network Simulation Method
  • Finite Element Analysis
  • Conduction Heat Transfer
  • Thermal Insulation
  • Heat Sink Design
  • Solute Transport
Research works
4.6k
fractional, since 1950
In the world top 10%
303
per year above
Top-10% rate
6.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+14%
the tick is no change

Which countries lead Heat Transfer and Numerical Methods research?

By volume, Indonesia and the United States publish the most (143 and 106 works in 2022–2025).

By volume, 2022–2025

  1. 1 Indonesia 143 works
  2. 2 United States 106 works
  3. 3 China 52 works
  4. 4 India 43 works
  5. 5 Germany 33 works
  6. 6 Russia 31 works
  7. 7 ?? 25 works
  8. 8 Japan 20 works
  9. 9 United Kingdom 18 works
  10. 10 Italy 16 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.

Indonesia: 29.4%United States: 21.8%China: 10.6%India: 8.8%6 others listed: 29.3%29%largest
Indonesia143 · 29.4%United States106 · 21.8%China52 · 10.6%India43 · 8.8%6 others listed143 · 29.3%

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

Which institutions lead Heat Transfer and Numerical Methods research?

By volume in 2022–2025, Politeknik Energi dan Mineral Akamigas publishes the most Heat Transfer and Numerical Methods research, followed by University of Montana and State University of Malang.

Where is Heat Transfer and Numerical Methods research done?

The largest centres of Heat Transfer and Numerical Methods research in 2022–2025 are Jakarta (Indonesia), Cepu (??), Beijing (China) and Malang (Indonesia).

Largest cities, 2022–2025

  1. 1 Jakarta Indonesia 19 works
  2. 2 Cepu ?? 12 works
  3. 3 Beijing China 12 works
  4. 4 Malang Indonesia 11 works
  5. 5 Moscow Russia 9 works
  6. 6 Surabaya Indonesia 9 works
  7. 7 Missoula United States 9 works
  8. 8 Yogyakarta Indonesia 8 works
  9. 9 Medan Indonesia 7 works
  10. 10 Bandung Indonesia 7 works
See Heat Transfer and Numerical Methods on the map

Where is the best place to study Heat Transfer and Numerical Methods?

Among universities, judged by research, Politeknik Energi dan Mineral Akamigas and University of Montana 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.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Politeknik Energi dan Mineral Akamigas?? 26.00.0%809.2×12
2 University of MontanaUnited States 10.00.0%139.9×9 -72.2%

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 Heat Transfer and Numerical Methods research growing?

Output in 2018–2022 was 14% higher than in 2013–2017, peaking in 2026. The fastest-growing topics are Heat Transfer and Numerical Methods.

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.