Statistical Mechanics and Entropy
Statistical Mechanics and Entropy is a research topic within Statistical and Nonlinear Physics. Science Explorer counts 18k research works in it since 1950. 10.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the statistical mechanics of systems with long-range interactions and nonextensive behavior, characterized by Tsallis statistics, generalized entropies, superstatistics, non-Gaussian statistics, and anomalous diffusion. It explores the thermodynamic equilibrium, Fokker-Planck equations, and phase transitions in such systems.
- Nonextensive Statistical Mechanics
- Long-Range Interactions
- Tsallis Statistics
- Generalized Entropies
- Superstatistics
- Non-Gaussian Statistics
- Anomalous Diffusion
- Thermodynamic Equilibrium
- Fokker-Planck Equations
- Phase Transitions
- Research works
- 18k fractional, since 1950
- In the world top 10%
- 1.8k per year above
- Top-10% rate
- 10.3% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -6% the tick is no change
- Largest producer
United States
24% of the 10 largest, 2022-now
Which countries lead Statistical Mechanics and Entropy research?
By volume, the United States and China publish the most (405 and 265 works in 2022-now).
By volume, 2022-now
- 1
United States 405 works
- 2
China 265 works
- 3
India 177 works
- 4
Italy 131 works
- 5
France 129 works
- 6
United Kingdom 125 works
- 7
Germany 115 works
- 8
Japan 114 works
- 9
Brazil 102 works
- 10
Russia 101 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 Statistical Mechanics and Entropy research?
By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Statistical Mechanics and Entropy research, followed by Russian Academy of Sciences and National University of Singapore.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 52 works
- 2
Russian Academy of Sciences
Russia 40 works
- 3
National University of Singapore
Singapore 23 works
- 4
Chinese Academy of Sciences
China 17 works
- 5
Sapienza University of Rome
Italy 16 works
- 6
The University of Tokyo
Japan 13 works
- 7
Max Planck Society
Germany 11 works
- 8
Consejo Nacional de Investigaciones Científicas y Técnicas
Argentina 11 works
- 9
Universidade de São Paulo
Brazil 10 works
- 10
National Academy of Sciences of Ukraine
Ukraine 10 works
Who are the leading researchers in Statistical Mechanics and Entropy?
The most-cited researchers publishing on Statistical Mechanics and Entropy include Yoshua Bengio, Karl John Friston and Trevor Hastie.
- 1
Yoshua Bengio
Canada 476k citations
- 2
Karl John Friston
United Kingdom 310k citations
- 3
Trevor Hastie
United States 301k citations
- 4
Xiaogang Wang
China 260k citations
- 5
Vladimir N. Vapnik
United States 227k citations
- 6
David H. Haussler
United States 209k citations
- 7
Harry Eugene Stanley
United States 198k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Statistical Mechanics and Entropy research done?
The largest centres of Statistical Mechanics and Entropy research in 2022-now are Beijing (China), Paris (France), Moscow (Russia) and Tokyo (Japan).
Where is the best place to study Statistical Mechanics and Entropy?
Among universities, judged by research, Princeton University, National University of Singapore and University of Oxford 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 | Princeton University |
65.7 | 43.6% | 9.6× | 9 | +35.5% |
| 2 | National University of Singapore |
59.2 | 1.7% | 8.9× | 23 | +705.9% |
| 3 | University of Oxford |
42.3 | 24.6% | 3.0× | 9 | +7.3% |
| 4 | Sapienza University of Rome |
40.5 | 15.4% | 6.3× | 16 | -17.6% |
| 5 | Politecnico di Torino |
38.1 | 14.3% | 8.7× | 9 | +25.4% |
| 6 | The University of Tokyo |
33.2 | 14.3% | 4.9× | 13 | -9.8% |
| 7 | National Intelligence University |
25.3 | 8.6% | 489.4× | 8 | - |
| 8 | Massachusetts Institute of Technology |
23.0 | 13.2% | 5.2× | 8 | -33.4% |
| 9 | Lomonosov Moscow State University |
16.1 | 7.8% | 4.5× | 8 | -32.9% |
| 10 | Universidade de São Paulo |
16.0 | 9.8% | 2.3× | 10 | -38.0% |
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 Statistical Mechanics and Entropy, country by countryIs Statistical Mechanics and Entropy research growing?
Output in 2022-2025 was 6% lower than in 2018-2021, peaking in 2026.
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 Statistical Mechanics and Entropy as a percentage of every work published that year, 0.0074% in 2024.
Fractional works of Statistical Mechanics and Entropy 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
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