| Transport in time-dependent dynamical systems: Finite-time coherent sets G Froyland, N Santitissadeekorn, A Monahan Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (4), 2010 | 201 | 2010 |
| Coherent sets for nonautonomous dynamical systems G Froyland, S Lloyd, N Santitissadeekorn Physica D: Nonlinear Phenomena 239 (16), 1527-1541, 2010 | 128 | 2010 |
| Applied and computational measurable dynamics EM Bollt, N Santitissadeekorn Society for Industrial and Applied Mathematics, 2013 | 121 | 2013 |
| Three-dimensional characterization and tracking of an Agulhas Ring G Froyland, C Horenkamp, V Rossi, N Santitissadeekorn, AS Gupta Ocean Modelling 52, 69-75, 2012 | 74 | 2012 |
| Optimally coherent sets in geophysical flows: A transfer-operator approach to delimiting the stratospheric polar vortex N Santitissadeekorn, G Froyland, A Monahan Physical Review E 82 (5), 056311, 2010 | 42 | 2010 |
| Two-stage filtering for joint state-parameter estimation N Santitissadeekorn, C Jones Monthly Weather Review 143 (6), 2028-2042, 2015 | 36 | 2015 |
| Exploring data assimilation and forecasting issues for an urban crime model DJB Lloyd, N Santitissadeekorn, MB Short European Journal of Applied Mathematics 27 (3), 451-478, 2016 | 35 | 2016 |
| A coherent structure approach for parameter estimation in Lagrangian Data Assimilation J Maclean, N Santitissadeekorn, CKRT Jones Physica D: Nonlinear Phenomena 360, 36-45, 2017 | 24 | 2017 |
| Identifying stochastic basin hopping by partitioning with graph modularity N Santitissadeekorn, EM Bollt Physica D: Nonlinear Phenomena 231 (2), 95-107, 2007 | 21 | 2007 |
| Optimal mixing enhancement G Froyland, N Santitissadeekorn SIAM Journal on Applied Mathematics, 1444-1470, 2017 | 19 | 2017 |
| Calibration of cellular automata urban growth models from urban genesis onwards-a novel application of Markov chain Monte Carlo approximate Bayesian computation J Yu, A Hagen-Zanker, N Santitissadeekorn, S Hughes Computers, environment and urban systems 90, 101689, 2021 | 15 | 2021 |
| Approximate filtering of conditional intensity process for Poisson count data: Application to urban crime N Santitissadeekorn, DJB Lloyd, MB Short, S Delahaies Computational statistics & data analysis 144, 106850, 2020 | 12 | 2020 |
| Characterization of mixing in a simple paddle mixer using experimentally derived velocity fields D Bohl, A Mehta, N Santitissadeekorn, E Bollt | 11 | 2011 |
| Analysis and modeling of an experimental device by finite-time lyapunov exponent method N Santitissadeekorn, D Bohl, EM Bollt International Journal of Bifurcation and Chaos 19 (03), 993-1006, 2009 | 11 | 2009 |
| The infinitesimal operator for the semigroup of the Frobenius-Perron operator from image sequence data: Vector fields and transport barriers from movies N Santitissadeekorn, EM Bollt Chaos: An Interdisciplinary Journal of Nonlinear Science 17 (2), 2007 | 10 | 2007 |
| Sequential data assimilation for 1D self-exciting processes with application to urban crime data N Santitissadeekorn, MB Short, DJB Lloyd Computational statistics & data analysis 128, 163-183, 2018 | 9 | 2018 |
| Absolute flux optimising curves of flows on a surface S Balasuriya, G Froyland, N Santitissadeekorn Journal of Mathematical Analysis and Applications 409 (1), 119-139, 2014 | 9 | 2014 |
| A data-driven framework to manage uncertainty due to limited transferability in urban growth models J Yu, A Hagen-Zanker, N Santitissadeekorn, S Hughes Computers, environment and urban systems 98, 101892, 2022 | 4 | 2022 |
| Ensemble-based method for the inverse Frobenius–Perron operator problem: Data-driven global analysis from spatiotemporal “movie” data N Santitissadeekorn, EM Bollt Physica D: Nonlinear Phenomena 411, 132603, 2020 | 4 | 2020 |
| Combining dynamic mode decomposition with ensemble Kalman filtering for tracking and forecasting SA Falconer, DJB Lloyd, N Santitissadeekorn Physica D: Nonlinear Phenomena 449, 133741, 2023 | 3 | 2023 |
