World's Best Scientists 2026 revealed!

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Physics

D-Index
94
Citations
35183
World Ranking
1974
National Ranking
159

Research.com Recognitions

  • 2019 - Member of Academia Europaea
  • 2012 - Fellow of the Royal Society of Edinburgh
  • 2004 - Fellow, The World Academy of Sciences
  • 1991 - Fellow of American Physical Society (APS) Citation For contributions to the fundamental aspects and significant applications of chaotic dynamics, and in the development of novel and effective computer techniques for the numerical study of dynamical systems

Overview

Celso Grebogi is affiliated with the University of Aberdeen in the United Kingdom. Their research primarily spans the field of Physics and Astronomy, with a particular focus on Statistical and Nonlinear Physics. Additional subfields include Computer Networks and Communications, Cognitive Neuroscience, Mathematical Physics, and Control and Systems Engineering.

Their work covers several main topics, among which are:

  • Quantum chaos and dynamical systems
  • Chaos control and synchronization
  • Nonlinear Dynamics and Pattern Formation
  • Mathematical Dynamics and Fractals
  • Stochastic dynamics and bifurcation
  • Ecosystem dynamics and resilience
  • EEG and Brain-Computer Interfaces

Grebogi has published research papers in a variety of scientific journals. Frequent publication venues include:

  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • Nonlinear Dynamics
  • Chaos Solitons & Fractals
  • arXiv (Cornell University)
  • SSRN Electronic Journal

Representative recent papers include:

  • "Machine learning prediction of critical transition and system collapse," 2021, Physical Review Research
  • "A Graph-Temporal Fused Dual-Input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals," 2020, IEEE Transactions on Circuits & Systems II Express Briefs
  • "Multiattention Adaptation Network for Motor Imagery Recognition," 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Tipping point and noise-induced transients in ecological networks," 2020, Journal of The Royal Society Interface
  • "Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder," 2020, Nonlinear Dynamics

Frequent coauthors who have collaborated extensively with Grebogi include:

  • Denghui Li
  • Hai-Peng Ren
  • Jianhua Xie
  • Zhongke Gao
  • Ying-Cheng Lai

In terms of recognition, Grebogi holds membership and fellowship distinctions from various scientific academies and societies. These include:

  • Member of Academia Europaea (2019)
  • Fellow of the Royal Society of Edinburgh (2012)
  • Fellow, The World Academy of Sciences (2004)
  • Fellow of American Physical Society (APS) (1991) with citation for contributions to chaotic dynamics and computer techniques for studying dynamical systems

Best Publications

  • Crises, sudden changes in chaotic attractors, and transient chaos

    Celso Grebogi;Edward Ott;James A. Yorke

  • The control of chaos: theory and applications

    S. Boccaletti;C. Grebogi;Ying-Cheng Lai;H. Mancini

  • Using small perturbations to control chaos

    Troy Shinbrot;Troy Shinbrot;Celso Grebogi;James A. Yorke;Edward Ott

  • CHAOTIC ATTRACTORS IN CRISIS

    Celso Grebogi;Edward Ott;James A. Yorke

  • Strange attractors that are not chaotic

    Celso Grebogi;Edward Ott;Steven Pelikan;James A. Yorke

  • Fractal basin boundaries

    Steven W. McDonald;Celso Grebogi;Edward Ott;James A. Yorke

  • Communicating with chaos.

    Scott Hayes;Celso Grebogi;Edward Ott

  • Critical exponents for crisis-induced intermittency

    Celso Grebogi;Edward Ott;Filipe Romeiras;James A. Yorke

  • Controlling chaotic dynamical systems

    Filipe J. Romeiras;Filipe J. Romeiras;Celso Grebogi;Edward Ott;W. P. Dayawansa

  • Chaos, strange attractors, and fractal basin boundaries in nonlinear dynamics.

    Celso Grebogi;Edward Ott;James A. Yorke

  • Using chaos to direct trajectories to targets.

    Troy Shinbrot;Edward Ott;Celso Grebogi;James A. Yorke

  • Final state sensitivity: An obstruction to predictability

    Celso Grebogi;Steven W. McDonald;Edward Ott;James A. Yorke

  • Unstable periodic orbits and the dimensions of multifractal chaotic attractors

    Celso Grebogi;Edward Ott;James A. Yorke

  • Fractal Basin Boundaries, Long-Lived Chaotic Transients, And Unstable-Unstable Pair Bifurcation

    Celso Grebogi;Edward Ott;James A. Yorke

  • Grazing bifurcations in impact oscillators

    Wai Chin;Edward Ott;Helena E. Nusse;Celso Grebogi

  • Experimental Control of Chaos for Communication

    Scott Hayes;Celso Grebogi;Edward Ott;Andrea Mark

  • Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing

    Wen Xu Wang;Rui Yang;Ying Cheng Lai;Ying Cheng Lai;Vassilios Kovanis

  • Shadowing of physical trajectories in chaotic dynamics: Containment and refinement

    Celso Grebogi;Stephen M. Hammel;James A. Yorke;Tim Sauer

  • Controlling Chaotic Dynamical Systems

    Filipe J. Romeiras;Edward Ott;Celso Grebogi;W. P. Dayawansa

  • Fractal Basin Boundaries

    Celso Grebogi;Edward Ott;James A. Yorke

Frequent Co-Authors

Ying-Cheng Lai
Ying-Cheng Lai Arizona State University
Edward Ott
Edward Ott University of Maryland, College Park
James A. Yorke
James A. Yorke University of Maryland, College Park
Liang Huang
Liang Huang Huazhong University of Science and Technology
Mingzhou Ding
Mingzhou Ding University of Florida
Zoltán Toroczkai
Zoltán Toroczkai University of Notre Dame
Troy Shinbrot
Troy Shinbrot Rutgers, The State University of New Jersey
Timothy Sauer
Timothy Sauer George Mason University
William L. Ditto
William L. Ditto North Carolina State University
Alistair J. P. Brown
Alistair J. P. Brown University of Exeter

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