Benchmarking and incentive regulation of quality of service: an application to the UK electricity distribution networks D Giannakis, T Jamasb, M Pollitt Energy policy 33 (17), 2256-2271, 2005 | 386 | 2005 |
Nonlinear Laplacian spectral analysis for time series with intermittency and low-frequency variability D Giannakis, AJ Majda Proceedings of the National Academy of Sciences 109 (7), 2222-2227, 2012 | 247 | 2012 |
Data-driven spectral decomposition and forecasting of ergodic dynamical systems D Giannakis Applied and Computational Harmonic Analysis 47 (2), 338-396, 2019 | 201 | 2019 |
Nonparametric forecasting of low-dimensional dynamical systems T Berry, D Giannakis, J Harlim Physical Review E 91 (3), 032915, 2015 | 123 | 2015 |
Delay-coordinate maps and the spectra of Koopman operators S Das, D Giannakis Journal of Statistical Physics 175 (6), 1107-1145, 2019 | 109 | 2019 |
Analog forecasting with dynamics-adapted kernels Z Zhao, D Giannakis Nonlinearity 29 (9), 2888, 2016 | 99 | 2016 |
The symmetries of image formation by scattering. I. Theoretical framework D Giannakis, P Schwander, A Ourmazd Optics express 20 (12), 12799-12826, 2012 | 93 | 2012 |
Galerkin approximation of dynamical quantities using trajectory data EH Thiede, D Giannakis, AR Dinner, J Weare The Journal of chemical physics 150 (24), 2019 | 85 | 2019 |
Spatiotemporal feature extraction with data-driven Koopman operators D Giannakis, J Slawinska, Z Zhao Feature Extraction: Modern Questions and Challenges, 103-115, 2015 | 78 | 2015 |
Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques R Alexander, D Giannakis Physica D: Nonlinear Phenomena 409, 132520, 2020 | 75 | 2020 |
Predicting the cloud patterns of the Madden‐Julian Oscillation through a low‐order nonlinear stochastic model N Chen, AJ Majda, D Giannakis Geophysical Research Letters 41 (15), 5612-5619, 2014 | 73 | 2014 |
Challenges for the kinetic unified dark matter model D Giannakis, W Hu Physical Review D—Particles, Fields, Gravitation, and Cosmology 72 (6), 063502, 2005 | 72 | 2005 |
Reproducing kernel Hilbert space compactification of unitary evolution groups S Das, D Giannakis, J Slawinska Applied and Computational Harmonic Analysis 54, 75-136, 2021 | 71 | 2021 |
The symmetries of image formation by scattering. II. Applications P Schwander, D Giannakis, CH Yoon, A Ourmazd Optics express 20 (12), 12827-12849, 2012 | 71 | 2012 |
Koopman analysis of the long-term evolution in a turbulent convection cell D Giannakis, A Kolchinskaya, D Krasnov, J Schumacher Journal of Fluid Mechanics 847, 735-767, 2018 | 61 | 2018 |
Koopman spectra in reproducing kernel Hilbert spaces S Das, D Giannakis Applied and Computational Harmonic Analysis 49 (2), 573-607, 2020 | 60 | 2020 |
Dynamics-adapted cone kernels D Giannakis SIAM Journal on Applied Dynamical Systems 14 (2), 556-608, 2015 | 53 | 2015 |
Nonlinear Laplacian spectral analysis: capturing intermittent and low‐frequency spatiotemporal patterns in high‐dimensional data D Giannakis, AJ Majda Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (3 …, 2013 | 49 | 2013 |
Arctic sea ice reemergence: The role of large-scale oceanic and atmospheric variability M Bushuk, D Giannakis, AJ Majda Journal of Climate 28 (14), 5477-5509, 2015 | 47 | 2015 |
Quantifying the predictive skill in long-range forecasting. Part II: Model error in coarse-grained Markov models with application to ocean-circulation regimes D Giannakis, AJ Majda Journal of climate 25 (6), 1814-1826, 2012 | 42 | 2012 |