| Ergodic and mixing properties of the Boussinesq equations with a degenerate random forcing J Földes, N Glatt-Holtz, G Richards, E Thomann Journal of Functional Analysis 269 (8), 2427-2504, 2015 | 58 | 2015 |
| On unique ergodicity in nonlinear stochastic partial differential equations N Glatt-Holtz, JC Mattingly, G Richards Journal of Statistical Physics 166, 618-649, 2017 | 53 | 2017 |
| Invariance of the Gibbs measure for the periodic quartic gKdV G Richards Annales de l'Institut Henri Poincaré C, Analyse non linéaire 33 (3), 699-766, 2016 | 33 | 2016 |
| Asymptotic analysis for randomly forced MHD J Foldes, S Friedlander, N Glatt-Holtz, G Richards SIAM Journal on Mathematical Analysis 49 (6), 4440-4469, 2017 | 22 | 2017 |
| On invariant Gibbs measures for the generalized KdV equations T Oh, G Richards, L Thomann arXiv preprint arXiv:1509.06873, 2015 | 21 | 2015 |
| Assessing the limitations of effective number of samples for finding the uncertainty of the mean of correlated data BL Smith, DR Neal, MA Feero, G Richards Measurement Science and Technology 29 (12), 125304, 2018 | 20 | 2018 |
| Invariance of the Gibbs measure for the periodic quartic gKdV G Richards arXiv preprint arXiv:1209.4337, 2012 | 19 | 2012 |
| Error propagation dynamics of PIV-based pressure field calculation (3): What is the minimum resolvable pressure in a reconstructed field? M Nie, JP Whitehead, G Richards, BL Smith, Z Pan Experiments in Fluids 63 (11), 168, 2022 | 18* | 2022 |
| Ergodicity in randomly forced Rayleigh–Bénard convection J Földes, NE Glatt-Holtz, G Richards, JP Whitehead Nonlinearity 29 (11), 3309, 2016 | 18 | 2016 |
| On the long-time statistical behavior of smooth solutions of the weakly damped, stochastically-driven KdV equation N Glatt-Holtz, VR Martinez, GH Richards arXiv preprint arXiv:2103.12942, 2021 | 12 | 2021 |
| Large Prandtl number asymptotics in randomly forced turbulent convection J Földes, NE Glatt-Holtz, G Richards Nonlinear Differential Equations and Applications NoDEA 26, 1-43, 2019 | 12* | 2019 |
| Development and comparative selection of surrogate models using artificial neural network for an integrated regenerative transcritical cycle Y Zhang, J Bryan, G Richards, H Wang Applied Energy 317, 119146, 2022 | 11 | 2022 |
| Mass concentration for the Davey-Stewartson system G Richards | 11 | 2011 |
| Well-posedness of the stochastic KdV–Burgers equation G Richards Stochastic Processes and their Applications 124 (4), 1627-1647, 2014 | 7 | 2014 |
| Invariance of the Gibbs measure for the periodic quartic gKdV, to appear in Ann G Richards Inst. H. Poincaré Anal. Non Linéaire, 0 | 7 | |
| Orbit Estimation from Angles-Only Observations Using Nonlinear Filtering Schemes L Tonc, G Richards | 3 | 2019 |
| Hydrodynamic stability in the presence of a stochastic forcing: a case study in convection J Földes, N Glatt-Holtz, G Richards, J Whitehead arXiv preprint arXiv:1704.03840, 2017 | 3* | 2017 |
| Ergodicity in randomly forced Rayleigh-Benard convection J Foldes, NE Glatt-Holtz, G Richards, JP Whitehead Nonlinearity 29 (11), 3309-3345, 2016 | 3 | 2016 |
| Development of surrogate-optimization models for a novel transcritical power cycle integrated with a small modular reactor Y Zhang, J Bryan, G Richards, H Wang Energy and AI 15, 100311, 2024 | 2 | 2024 |
| Can solutions of the one-dimensional wave equation with nonlinear multiplicative noise blow up C Mueller, G Richards Open Prob. Math 2, 1-4, 2014 | 2 | 2014 |
