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Metallurgical Processes and Thermodynamics

Metallurgical Processes and Thermodynamics is a research topic within Mechanical Engineering. Science Explorer counts 43k research works in it since 1950. 11.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development, application, and optimization of thermochemical software and databases in metallurgical processes, particularly in the context of steel casting, slag chemistry, inclusion control, solidification modeling, mold fluxes, and heat recovery. The research encompasses a wide range of topics such as thermodynamic modeling, phase equilibrium, fluid flow, and the utilization of waste heat in the steelmaking industry.

  • Thermochemical
  • Metallurgy
  • Databases
  • Steel Casting
  • Slag Chemistry
  • Inclusion Control
  • Solidification Modeling
  • Mold Fluxes
  • Heat Recovery
  • Continuous Casting
Research works
43k
fractional, since 1950
In the world top 10%
4.9k
per year above
Top-10% rate
11.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+1%
the tick is no change

Which countries lead Metallurgical Processes and Thermodynamics research?

By volume, China and the United States publish the most (2.7k and 436 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.7k works
  2. 2 United States 436 works
  3. 3 Russia 404 works
  4. 4 India 277 works
  5. 5 Japan 249 works
  6. 6 Germany 194 works
  7. 7 South Korea 130 works
  8. 8 Australia 128 works
  9. 9 Canada 117 works
  10. 10 France 113 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: 57.0%United States: 9.1%Russia: 8.5%India: 5.8%6 others listed: 19.5%57%largest
China2,718 · 57.0%United States436 · 9.1%Russia404 · 8.5%India277 · 5.8%6 others listed932 · 19.5%

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

Which institutions lead Metallurgical Processes and Thermodynamics research?

By volume in 2022–2025, University of Science and Technology Beijing publishes the most Metallurgical Processes and Thermodynamics research, followed by Northeastern University and Central South University.

Who are the leading researchers in Metallurgical Processes and Thermodynamics?

The most-cited researchers publishing on Metallurgical Processes and Thermodynamics include Dierk Raabe.

  1. 1 Dierk Raabe Germany 4.5k citations

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

Where is Metallurgical Processes and Thermodynamics research done?

The largest centres of Metallurgical Processes and Thermodynamics research in 2022–2025 are Beijing (China), Shenyang (China), Changsha (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Anshan, Leoben and Freiberg.

Largest cities, 2022–2025

  1. 1 Beijing China 738 works
  2. 2 Shenyang China 324 works
  3. 3 Changsha China 142 works
  4. 4 Shanghai China 138 works
  5. 5 Wuhan China 132 works
  6. 6 Moscow Russia 122 works
  7. 7 Kunming China 101 works
  8. 8 Chongqing China 98 works
  9. 9 Xi'an China 95 works
  10. 10 Yekaterinburg Russia 91 works

Where it is the local speciality

  1. AnshanCN · 72.1 works75×
  2. LeobenAT · 42.7 works65×
  3. FreibergDE · 28.6 works56×
  4. Ma'anshan CityCN · 46.4 works41×
  5. TangshanCN · 54.7 works37×
  6. BaotouCN · 41.9 works37×
← less than its size predictsmore →

Location quotient: how much more of its research is in Metallurgical Processes and Thermodynamics than the world average.

See Metallurgical Processes and Thermodynamics on the map

Where is the best place to study Metallurgical Processes and Thermodynamics?

Among universities, judged by research, Central South University, Northeastern University and University of Oulu 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%10%20%30%mean 11.94%fractional works in this node (log) →share in the world top 10% →Central South University: 129, 10.0%Northeastern University: 286, 10.4%University of Oulu: 17, 19.8%University of Science and Technology Beijing: 385, 9.1%Chongqing University: 78, 8.6%Shanghai University: 60, 13.9%Ural Federal University: 29, 3.7%Montanuniversität Leoben: 39, 10.6%University of Miskolc: 9, 24.7%Wuhan University of Science and Technology: 96, 8.6%University of OuluNortheastern Univers…Central South Univer…University of Scienc…
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 Central South UniversityChina 58.410.0%13.1×129 +78.6%
2 Northeastern UniversityChina 58.210.4%54.1×286 +6.0%
3 University of OuluFinland 58.119.8%11.2×17 +40.1%
4 University of Science and Technology BeijingChina 57.29.1%81.4×385 -16.0%
5 Chongqing UniversityChina 53.88.6%11.9×78 +66.5%
6 Shanghai UniversityChina 53.813.9%13.8×60 +3.9%
7 Ural Federal UniversityRussia 52.13.7%16.4×29 +261.5%
8 Montanuniversität LeobenAustria 51.910.6%99.8×39 +27.0%
9 University of MiskolcHungary 51.424.7%12.0×9 -57.4%
10 Wuhan University of Science and TechnologyChina 49.88.6%47.9×96 -6.4%

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 Metallurgical Processes and Thermodynamics research growing?

Output in 2018–2022 was 1% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Metallurgical Processes and Thermodynamics.

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.