Science Explorer Interactive view Map

Advanced Thermodynamics and Statistical Mechanics

Advanced Thermodynamics and Statistical Mechanics is a research topic within Statistical and Nonlinear Physics. Science Explorer counts 61k research works in it since 1950. 16.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on stochastic thermodynamics, fluctuation theorems, and their applications to nonequilibrium systems, quantum heat engines, information processing, maximum entropy production, and thermodynamic efficiency. It also covers experimental studies involving single-molecule experiments, feedback control, and nanoscale thermodynamics.

  • Stochastic Thermodynamics
  • Fluctuation Theorems
  • Nonequilibrium Systems
  • Quantum Heat Engines
  • Information Processing
  • Maximum Entropy Production
  • Thermodynamic Efficiency
  • Single-Molecule Experiments
  • Feedback Control
  • Nanoscale Thermodynamics
Research works
61k
fractional, since 1950
In the world top 10%
10k
per year above
Top-10% rate
16.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+9%
the tick is no change

Which countries lead Advanced Thermodynamics and Statistical Mechanics research?

By volume, China and the United States publish the most (1.2k and 1k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.2k works
  2. 2 United States 1k works
  3. 3 Germany 434 works
  4. 4 India 414 works
  5. 5 France 373 works
  6. 6 Italy 342 works
  7. 7 United Kingdom 285 works
  8. 8 Japan 274 works
  9. 9 Russia 238 works
  10. 10 Brazil 181 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: 25.4%United States: 21.2%Germany: 9.1%India: 8.7%6 others listed: 35.6%25%largest
China1,210 · 25.4%United States1,006 · 21.2%Germany434 · 9.1%India414 · 8.7%6 others listed1,693 · 35.6%

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

Which institutions lead Advanced Thermodynamics and Statistical Mechanics research?

By volume in 2022–2025, Centre National de la Recherche Scientifique publishes the most Advanced Thermodynamics and Statistical Mechanics research, followed by The University of Tokyo and Xi'an Jiaotong University.

Who are the leading researchers in Advanced Thermodynamics and Statistical Mechanics?

The most-cited researchers publishing on Advanced Thermodynamics and Statistical Mechanics include W. Kohn, Donald G. Truhlar and Kenji Watanabe.

  1. 1 W. Kohn United States 15k citations
  2. 2 Donald G. Truhlar United States 8.4k citations
  3. 3 Kenji Watanabe Japan 6.4k citations

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

Where is Advanced Thermodynamics and Statistical Mechanics research done?

The largest centres of Advanced Thermodynamics and Statistical Mechanics research in 2022–2025 are Beijing (China), Paris (France), Moscow (Russia) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Trieste.

Largest cities, 2022–2025

  1. 1 Beijing China 272 works
  2. 2 Paris France 144 works
  3. 3 Moscow Russia 113 works
  4. 4 Tokyo Japan 104 works
  5. 5 Shanghai China 87 works
  6. 6 London United Kingdom 87 works
  7. 7 Wuhan China 77 works
  8. 8 Rome Italy 67 works
  9. 9 Xi'an China 61 works
  10. 10 Madrid Spain 52 works

Where it is the local speciality

  1. TriesteIT · 25.1 works9.5×
← less than its size predictsmore →

Location quotient: how much more of its research is in Advanced Thermodynamics and Statistical Mechanics than the world average.

See Advanced Thermodynamics and Statistical Mechanics on the map

Where is the best place to study Advanced Thermodynamics and Statistical Mechanics?

Among universities, judged by research, University of Luxembourg, University of Geneva and Wuhan Institute of Technology 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%25%50%mean 29.29%fractional works in this node (log) →share in the world top 10% →University of Luxembourg: 15, 37.9%University of Geneva: 11, 57.3%Wuhan Institute of Technology: 15, 52.9%University of Stuttgart: 19, 24.4%Simon Fraser University: 14, 19.9%The University of Tokyo: 49, 16.6%HAW Hamburg: 23, 5.8%Weizmann Institute of Science: 8, 36.8%Xi'an Jiaotong University: 34, 27.8%Université Libre de Bruxelles: 15, 13.5%University of GenevaWuhan Institute of T…University of Luxemb…University of Stuttg…
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 University of LuxembourgLuxembourg 61.437.9%10.1×15 +18.1%
2 University of GenevaSwitzerland 61.257.3%5.0×11 +134.2%
3 Wuhan Institute of TechnologyChina 60.352.9%10.2×15 -37.8%
4 University of StuttgartGermany 48.924.4%8.2×19 +37.7%
5 Simon Fraser UniversityCanada 48.219.9%7.6×14 +108.9%
6 The University of TokyoJapan 47.616.6%6.1×49 +8.3%
7 HAW HamburgGermany 47.45.8%71.2×23
8 Weizmann Institute of ScienceIsrael 45.936.8%8.5×8 -44.0%
9 Xi'an Jiaotong UniversityChina 45.227.8%3.2×34 +80.3%
10 Université Libre de BruxellesBelgium 44.713.5%9.2×15 -7.4%

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 Advanced Thermodynamics and Statistical Mechanics research growing?

Output in 2018–2022 was 9% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Advanced Thermodynamics and Statistical Mechanics.

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.