Heat Transfer and Mathematical Modeling
Heat Transfer and Mathematical Modeling is a research topic within Mechanical Engineering. Science Explorer counts 3.5k research works in it since 1951. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of topics in mechanical engineering and materials science, including ultrasonic treatment, polymer adsorption, finite element method, thermal protection, nanoparticle synthesis, elasticity theory, heat transfer, composite materials, numerical modeling, and aerospace industry.
- Ultrasonic Treatment
- Polymer Adsorption
- Finite Element Method
- Thermal Protection
- Nanoparticle Synthesis
- Elasticity Theory
- Heat Transfer
- Composite Materials
- Numerical Modeling
- Aerospace Industry
- Research works
- 3.5k fractional, since 1951
- In the world top 10%
- 345 per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -2% the tick is no change
- Largest producer
Russia
58% of the 10 largest, 2022-now
Which countries lead Heat Transfer and Mathematical Modeling research?
By volume, Russia and Ukraine publish the most (438 and 143 works in 2022-now).
By volume, 2022-now
- 1
Russia 438 works
- 2
Ukraine 143 works
- 3
United States 43 works
- 4
Uzbekistan 30 works
- 5
China 25 works
- 6
Kazakhstan 25 works
- 7
Azerbaijan 15 works
- 8
Belarus 14 works
- 9
India 10 works
- 10
Poland 10 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Heat Transfer and Mathematical Modeling research?
By volume in 2022-now, Russian Academy of Sciences publishes the most Heat Transfer and Mathematical Modeling research, followed by Moscow Aviation Institute and National Academy of Sciences of Ukraine.
By volume, 2022-now
- 1
Russian Academy of Sciences
Russia 78 works
- 2
Moscow Aviation Institute
Russia 68 works
- 3
National Academy of Sciences of Ukraine
Ukraine 31 works
- 4
Bauman Moscow State Technical University
Russia 17 works
- 5
Weatherford College
United States 16 works
- 6
Lomonosov Moscow State University
Russia 16 works
- 7
Samara State Technical University
Russia 14 works
- 8
National Aerospace University – Kharkiv Aviation Institute
Ukraine 11 works
- 9
State University "Kyiv Aviation Institute"
Ukraine 9 works
- 10
Oles Honchar Dnipro National University
Ukraine 9 works
Who are the leading researchers in Heat Transfer and Mathematical Modeling?
The most-cited researchers publishing on Heat Transfer and Mathematical Modeling include Richard Bellman.
- 1
Richard Bellman
United States 80k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Heat Transfer and Mathematical Modeling research done?
The largest centres of Heat Transfer and Mathematical Modeling research in 2022-now are Moscow (Russia), Kyiv (Ukraine), Saint Petersburg (Russia) and Kharkiv (Ukraine). Among places with at least 20 works in it, it is an unusually large share of all research in Samara, Kharkiv and Moscow.
Largest cities, 2022-now
- 1
Moscow
Russia 200 works
- 2
Kyiv
Ukraine 49 works
- 3
Saint Petersburg
Russia 28 works
- 4
Kharkiv
Ukraine 24 works
- 5
Samara
Russia 22 works
- 6
Kazan’
Russia 19 works
- 7
Lviv
Ukraine 17 works
- 8
Tashkent
Uzbekistan 16 works
- 9
Weatherford
United States 16 works
- 10
Almaty
Kazakhstan 15 works
Where it is the local speciality
- SamaraRU · 22.0 works63×
- KharkivUA · 24.0 works29×
- MoscowRU · 199.9 works24×
- KyivUA · 49.5 works21×
Location quotient: how much more of its research is in Heat Transfer and Mathematical Modeling than the world average.
Where is the best place to study Heat Transfer and Mathematical Modeling?
Among universities, judged by research, Moscow Aviation Institute, Weatherford College and National Aerospace University – Kharkiv Aviation Institute 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.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Moscow Aviation Institute |
80.5 | 25.4% | 594.9× | 68 | +39.4% |
| 2 | Weatherford College |
30.5 | 8.4% | 16.4× | 16 | +183.3% |
| 3 | National Aerospace University – Kharkiv Aviation Institute |
27.9 | 6.9% | 266.5× | 11 | +175.0% |
| 4 | Lomonosov Moscow State University |
22.4 | 4.6% | 25.1× | 16 | -19.3% |
| 5 | Oles Honchar Dnipro National University |
16.8 | 11.1% | 151.3× | 9 | +5.5% |
| 6 | State University "Kyiv Aviation Institute" |
11.9 | 0.8% | 83.2× | 9 | +64.9% |
| 7 | Bauman Moscow State Technical University |
11.8 | 2.4% | 124.3× | 17 | -67.1% |
| 8 | Samara State Technical University |
11.7 | 0.3% | 237.7× | 14 | +1.8% |
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Heat Transfer and Mathematical Modeling, country by countryIs Heat Transfer and Mathematical Modeling research growing?
Output in 2022-2025 was 2% lower than in 2018-2021, peaking in 2025.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Heat Transfer and Mathematical Modeling as a percentage of every work published that year, 0.0020% in 2024.
Fractional works of Heat Transfer and Mathematical Modeling over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
Ask a question or share a note about Heat Transfer and Mathematical Modeling. Posts are plain text and can be reported.