Dynamic Systems Approach

The Dynamic Systems Approach is a theoretical framework that models perceptual-motor learning as the emergent, self-organizing interaction of multiple subsystems within a complex, nonlinear dynamical system, distinguished by its emphasis on time-scaled variability, environmental constraints, and the coordination of behavior through phase transitions.

2.8K

Publications

175.5K

Citations

6.9K

Authors

2.2K

Institutions

Publications per year

2017–2026

628

Authors

6.9K

  1. PV
    Paul van Geert

    University of Groningen, Netherlands

    14 publications · 977 citations

    12

    h-index

  2. AL
    Anna Lichtwarck‐Aschoff

    Radboud University Nijmegen, Netherlands

    10 publications · 634 citations

    10

    h-index

  3. GS
    Gregor Schöner

    Ruhr University Bochum, Germany

    11 publications · 2.7K citations

    10

    h-index

  4. LK
    Leōnidas Kyriakidēs

    University of Cyprus, Cyprus

    8 publications · 517 citations

    8

    h-index

  5. TH
    Tom Hollenstein

    Queen's University, Canada

    6 publications · 935 citations

    6

    h-index

1–5 of 6.9K

Venues

  1. Automatica

    23 publications · 6.9K citations

    19

    h-index

  2. IEEE Transactions on Automatic Control

    20 publications · 2.8K citations

    17

    h-index

  3. AIChE Journal

    17 publications · 981 citations

    15

    h-index

  4. IEEE Transactions on Systems Man and Cybernetics

    16 publications · 1.4K citations

    14

    h-index

  5. Frontiers in Psychology

    13 publications · 687 citations

    13

    h-index

1–5