State Space Reconstruction

State Space Reconstruction is a mathematical framework used in time-varying compartment models that, by embedding observed time series data into a higher-dimensional space, reconstructs the underlying system dynamics to infer the full state space from incomplete or indirect measurements.

192

Publications

11.8K

Citations

496

Authors

289

Institutions

Publications per year

2017–2026

47

Authors

496

  1. DK
    Dimitris Kugiumtzis

    Aristotle University of Thessaloniki, Greece

    7 publications · 649 citations

    7

    h-index

  2. HK
    Hölger Kantz

    Max Planck Institute for the Physics of Complex Systems, Germany

    3 publications · 638 citations

    3

    h-index

  3. UL
    Ulf Leonhardt

    University of St Andrews, United Kingdom

    3 publications · 120 citations

    3

    h-index

  4. MA
    Marcelo A. Savi

    Universidade Federal do Rio de Janeiro, Brazil

    3 publications · 44 citations

    3

    h-index

  5. GS
    George Sugihara

    Scripps Institution of Oceanography, United States

    3 publications · 628 citations

    3

    h-index

1–5 of 496

Venues

  1. Physical Review Letters

    PRL · 11 publications · 1.2K citations

    11

    h-index

  2. 7

    h-index

  3. Physical Review A

    PRA · 7 publications · 297 citations

    7

    h-index

  4. Physical Review E

    PRE · 7 publications · 408 citations

    7

    h-index

  5. Physica D Nonlinear Phenomena

    5 publications · 1.2K citations

    5

    h-index

1–5