| Data-based analysis, modelling and forecasting of the COVID-19 outbreak C Anastassopoulou, L Russo, A Tsakris, C Siettos PloS one 15 (3), e0230405, 2020 | 1155 | 2020 |
| Mathematical modeling of infectious disease dynamics CI Siettos, L Russo Virulence 4 (4), 295-306, 2013 | 562 | 2013 |
| A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990 A Alexandridis, D Vakalis, CI Siettos, GV Bafas Applied Mathematics and Computation 204 (1), 191-201, 2008 | 290 | 2008 |
| Coarse Brownian dynamics for nematic liquid crystals: Bifurcation, projective integration, and control via stochastic simulation CI Siettos, MD Graham, IG Kevrekidis The Journal of chemical physics 118 (22), 10149-10156, 2003 | 111 | 2003 |
| Microscopic/stochastic timesteppers and coarse control: a kinetic Monte Carlo example CI Siettos, A Armaou, AG Makeev, IG Kevrekidis arXiv preprint nlin/0207017, 2002 | 108 | 2002 |
| Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach L Russo, C Anastassopoulou, A Tsakris, GN Bifulco, EF Campana, ... Plos one 15 (10), e0240649, 2020 | 92 | 2020 |
| Wildland fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics A Alexandridis, L Russo, D Vakalis, GV Bafas, CI Siettos International Journal of Wildland Fire 20 (5), 633-647, 2011 | 92 | 2011 |
| Coarse-scale PDEs from fine-scale observations via machine learning S Lee, M Kooshkbaghi, K Spiliotis, CI Siettos, IG Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (1), 2020 | 89 | 2020 |
| Modeling the 2014 ebola virus epidemic–agent-based simulations, temporal analysis and future predictions for liberia and sierra leone C Siettos, C Anastassopoulou, L Russo, C Grigoras, E Mylonakis PLoS currents 7, ecurrents. outbreaks. 8d5984114855fc425e699e1a18cdc6c9, 2015 | 81 | 2015 |
| Time‐steppers and ‘coarse’control of distributed microscopic processes A Armaou, C I. Siettos, I G. Kevrekidis International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2004 | 66 | 2004 |
| Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines G Fabiani, F Calabrò, L Russo, C Siettos Journal of Scientific Computing 89, 44, 2021 | 65 | 2021 |
| Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients F Calabrò, G Fabiani, C Siettos Computer Methods in Applied Mechanics and Engineering 387, 114188, 2021 | 64 | 2021 |
| Fuzzy reasoning CP Pappis, CI Siettos Search Methodologies: Introductory Tutorials in Optimization and Decision …, 2013 | 63 | 2013 |
| Classification of aged wine distillates using fuzzy and neural network systems CG Raptis, CI Siettos, CT Kiranoudis, GV Bafas Journal of food Engineering 46 (4), 267-275, 2000 | 56 | 2000 |
| Multiscale modeling of brain dynamics: from single neurons and networks to mathematical tools C Siettos, J Starke Wiley Interdisciplinary Reviews: Systems Biology and Medicine 8 (5), 438-458, 2016 | 54 | 2016 |
| Judging the judges’ performance in rhythmic gymnastics K Flessas, D Mylonas, G Panagiotaropoulou, D Tsopani, A Korda, ... Medicine & Science in Sports & Exercise 47 (3), 640-648, 2015 | 54 | 2015 |
| Enabling dynamic process simulators to perform alternative tasks: A time-stepper-based toolkit for computer-aided analysis CI Siettos, CC Pantelides, IG Kevrekidis Industrial & engineering chemistry research 42 (26), 6795-6801, 2003 | 52 | 2003 |
| Can social microblogging be used to forecast intraday exchange rates? P Papaioannou, L Russo, G Papaioannou, CI Siettos Netnomics: Economic Research and Electronic Networking 14, 47-68, 2013 | 47 | 2013 |
| Firebreak and fuelbreak D Ascoli, L Russo, F Giannino, C Siettos, F Moreira Encyclopedia of wildfires and wildland-urban interface (WUI) fires, 444-452, 2020 | 42 | 2020 |
| Numerical bifurcation analysis of PDEs from lattice Boltzmann model simulations: a parsimonious machine learning approach E Galaris, G Fabiani, I Gallos, I Kevrekidis, C Siettos Journal of Scientific Computing 92 (2), 34, 2022 | 41 | 2022 |
