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Mathematical Dynamics and Fractals

Mathematical Dynamics and Fractals is a research topic within Mathematical Physics. Science Explorer counts 31k research works in it since 1950. 14.5% 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 dynamical systems and chaos theory, including chaos implications, ergodic theory, fractals, Lyapunov exponents, Markov chains, topological entropy, invariant measures, Teichmüller curves, and Hausdorff dimension.

  • Chaos
  • Dynamical Systems
  • Fractals
  • Ergodic Theory
  • Lyapunov Exponents
  • Markov Chains
  • Topological Entropy
  • Invariant Measures
  • Teichmüller Curves
  • Hausdorff Dimension
Research works
31k
fractional, since 1950
In the world top 10%
4.5k
per year above
Top-10% rate
14.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-2%
the tick is no change

Which countries lead Mathematical Dynamics and Fractals research?

By volume, China and the United States publish the most (649 and 581 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 649 works
  2. 2 United States 581 works
  3. 3 France 303 works
  4. 4 Russia 240 works
  5. 5 India 204 works
  6. 6 United Kingdom 159 works
  7. 7 Japan 133 works
  8. 8 Brazil 131 works
  9. 9 Germany 124 works
  10. 10 Italy 94 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: 24.8%United States: 22.2%France: 11.6%Russia: 9.2%6 others listed: 32.3%25%largest
China649 · 24.8%United States581 · 22.2%France303 · 11.6%Russia240 · 9.2%6 others listed844 · 32.3%

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

Which institutions lead Mathematical Dynamics and Fractals research?

By volume in 2022–2025, National Research University Higher School of Economics publishes the most Mathematical Dynamics and Fractals research, followed by Centre National de la Recherche Scientifique and Lomonosov Moscow State University.

By volume, 2022–2025

  1. 1 National Research University Higher School of Economics Russia 55 works
  2. 2 Centre National de la Recherche Scientifique France 47 works
  3. 3 Lomonosov Moscow State University Russia 30 works
  4. 4 Chongqing University China 19 works
  5. 5 South China University of Technology China 19 works
  6. 6 University of Warwick United Kingdom 19 works
  7. 7 Nanjing University of Science and Technology China 18 works
  8. 8 University of Monastir Tunisia 17 works
  9. 9 University of Chicago United States 16 works
  10. 10 University of Science and Technology of China China 15 works

Who are the leading researchers in Mathematical Dynamics and Fractals?

The most-cited researchers publishing on Mathematical Dynamics and Fractals include H. Eugene Stanley, Guanrong Chen and Benoît B. Mandelbrot.

  1. 1 H. Eugene Stanley 5.5k citations
  2. 2 Guanrong Chen 5.4k citations
  3. 3 Benoît B. Mandelbrot 4.2k citations
  4. 4 Steven J. Miller 3.8k citations

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

Where is Mathematical Dynamics and Fractals research done?

The largest centres of Mathematical Dynamics and Fractals research in 2022–2025 are Moscow (Russia), Paris (France), Beijing (China) and Nanjing (China).

Largest cities, 2022–2025

  1. 1 Moscow Russia 143 works
  2. 2 Paris France 106 works
  3. 3 Beijing China 63 works
  4. 4 Nanjing China 58 works
  5. 5 Guangzhou China 57 works
  6. 6 Tokyo Japan 42 works
  7. 7 Wuhan China 41 works
  8. 8 Shanghai China 38 works
  9. 9 New York United States 29 works
  10. 10 Warsaw Poland 29 works
See Mathematical Dynamics and Fractals on the map

Where is the best place to study Mathematical Dynamics and Fractals?

Among universities, judged by research, University of Monastir, National Research University Higher School of Economics and Northwest University 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%20%40%60%mean 23.65%fractional works in this node (log) →share in the world top 10% →University of Monastir: 17, 55.3%National Research University Higher School of Economics: 55, 4.9%Northwest University: 9, 52.2%Université Paris-Saclay: 15, 6.9%Lomonosov Moscow State University: 30, 12.5%Nanjing University of Science and Technology: 18, 33.6%University of St Andrews: 11, 23.5%University of Warwick: 19, 10.7%Sorbonne Université: 15, 16.4%University of Maryland, College Park: 15, 20.5%University of MonastirNorthwest UniversityUniversité Paris-Sac…National Research Un…
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
1University of Monastir Tunisia 78.355.3%30.5×17 +82.4%
2National Research University Higher School of Economics Russia 64.74.9%36.5×55 +302.0%
3Northwest University China 61.352.2%9.1×9 +63.0%
4Université Paris-Saclay France 58.16.9%10.8×15 +294.0%
5Lomonosov Moscow State University Russia 56.912.5%9.5×30 +54.1%
6Nanjing University of Science and Technology China 52.933.6%5.8×18 +158.9%
7University of St Andrews United Kingdom 50.023.5%13.6×11 +17.9%
8University of Warwick United Kingdom 48.310.7%11.5×19 -5.6%
9Sorbonne Université France 47.616.4%8.4×15 +16.0%
10University of Maryland, College Park United States 42.220.5%7.5×15 +10.0%

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 Mathematical Dynamics and Fractals research growing?

Output in 2018–2022 was 2% lower than in 2013–2017, peaking in 2023. The fastest-growing topics are Mathematical Dynamics and Fractals.

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.