Complexity Measures

Complexity Measures is a quantitative framework within chaos theory that characterizes the degree of structural intricacy and dynamical unpredictability in nonlinear systems by distinguishing them from simpler deterministic or stochastic processes.

1.2K

Publications

85.2K

Citations

2.9K

Authors

1.3K

Institutions

Publications per year

2017–2026

348

Authors

2.9K

  1. JK
    Jürgen Kurths

    Potsdam Institute for Climate Impact Research, Germany

    15 publications · 2.2K citations

    15

    h-index

  2. OA
    Osvaldo A. Rosso

    Universidad de Buenos Aires, Argentina

    11 publications · 1.7K citations

    11

    h-index

  3. PS
    Pengjian Shang

    Beijing Jiaotong University, China

    10 publications · 258 citations

    10

    h-index

  4. JP
    James P. Crutchfield

    University of California, Davis, United States

    9 publications · 1.8K citations

    9

    h-index

  5. HV
    Heikki V. Huikuri

    University of Oulu, Finland

    8 publications · 700 citations

    8

    h-index

1–5 of 2.9K

Venues

  1. 20

    h-index

  2. arXiv (Cornell University)

    Repository · 32 publications · 1.3K citations

    18

    h-index

  3. Entropy

    31 publications · 1.1K citations

    17

    h-index

  4. 16

    h-index

  5. Chaos Solitons & Fractals

    17 publications · 1.1K citations

    15

    h-index

1–5