| A SIR model assumption for the spread of COVID-19 in different communities I Cooper, A Mondal, CG Antonopoulos Chaos, Solitons & Fractals 139, 110057, 2020 | 902 | 2020 |
| Geometrical properties of local dynamics in Hamiltonian systems: The Generalized Alignment Index (GALI) method C Skokos, TC Bountis, C Antonopoulos Physica D: Nonlinear Phenomena 231 (1), 30-54, 2007 | 221 | 2007 |
| Detecting order and chaos in Hamiltonian systems by the SALI method C Skokos, C Antonopoulos, TC Bountis, MN Vrahatis Journal of Physics A: Mathematical and General 37 (24), 6269, 2004 | 215 | 2004 |
| Corrigendum: Chimera-like states in modular neural networks J Hizanidis, NE Kouvaris, G Zamora-López, A Díaz-Guilera, ... Scientific reports 6, 22314, 2016 | 204* | 2016 |
| How does the Smaller Alignment Index (SALI) distinguish order from chaos? C Skokos, C Antonopoulos, TC Bountis Prog. Theor. Phys. Supp. 150, 439-443, 2003 | 105 | 2003 |
| Detecting chaos, determining the dimensions of tori and predicting slow diffusion in Fermi–Pasta–Ulam lattices by the Generalized Alignment Index method C Skokos, T Bountis, C Antonopoulos The European Physical Journal Special Topics 165 (1), 5-14, 2008 | 87 | 2008 |
| Stability of simple periodic orbits and chaos in an FPU lattice C Antonopoulos, T Bountis Phys. Rev. E 73, 056206, 2006 | 59* | 2006 |
| Chaotic dynamics of N-degree of freedom Hamiltonian systems C Antonopoulos, T Bountis, C Skokos Int. J. Bif. Chaos 16 (6), 1777-1793, 2006 | 54 | 2006 |
| Successful network inference from time-series data using Mutual Information Rate E Bianco-Martinez, N Rubido, CG Antonopoulos, MS Baptista Chaos 26, 043102, 2016 | 52 | 2016 |
| Probing the local dynamics of periodic orbits by the Generalized Alignment Index (GALI) method T Manos, C Skokos, C Antonopoulos Int. J. Bif. Chaos 22 (09), 2012 | 50 | 2012 |
| Evidence of q-exponential statistics in Greek seismicity CG Antonopoulos, G Michas, F Vallianatos, T Bountis Physica A: Statistical Mechanics and its Applications 409, 71-77, 2014 | 47 | 2014 |
| Do brain networks evolve by maximizing their information flow capacity? CG Antonopoulos, S Srivastava, SES Pinto, MS Baptista PLOS Computational Biology 11 (8), e1004372, 2015 | 42 | 2015 |
| Bistable firing pattern in a neural network model PR Protachevicz, FS Borges, EL Lameu, P Ji, KC Iarosz, AH Kihara, ... Frontiers in computational neuroscience 13, 19, 2019 | 39 | 2019 |
| Opinion formation in multiplex networks with general initial distributions CG Antonopoulos, Y Shang Scientific reports 8 (1), 2852, 2018 | 38 | 2018 |
| Spike timing-dependent plasticity induces non-trivial topology in the brain BMS Borges R. R., Borges F. S., Lameu E. L., Batista A. M., Iarosz K. C ... Neural Networks 88, 58-64, 2017 | 37 | 2017 |
| Quasi-stationary chaotic states in multi-dimensional Hamiltonian systems C Antonopoulos, T Bountis, V Basios Physica A: Statistical Mechanics and its Applications 390 (20), 3290-3307, 2011 | 36 | 2011 |
| Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic I Cooper, A Mondal, CG Antonopoulos Chaos, Solitons & Fractals 139, 110298, 2020 | 34 | 2020 |
| Influence of autapses on synchronization in neural networks with chemical synapses PR Protachevicz, KC Iarosz, IL Caldas, CG Antonopoulos, AM Batista, ... Frontiers in Systems Neuroscience 14, 604563, 2020 | 29 | 2020 |
| Detecting resonances in conservative maps using evolutionary algorithms YG Petalas, CG Antonopoulos, TC Bountis, MN Vrahatis Phys. Let. A 373 (3), 334-341, 2009 | 28 | 2009 |
| Complex statistics in Hamiltonian barred galaxy models T Bountis, T Manos, C Antonopoulos Celest. Mech. Dynam. Astron. 113 (1), 63-80, 2011 | 26 | 2011 |
Charalampos (Haris) SkokosProfessor of Applied Mathematics, Department of Mathematics, University of Cape Town, South AfricaVerified email at uct.ac.za
