Rifting of the South China Sea: new perspectives A Cullen, P Reemst, G Henstra, S Gozzard, A Ray Petroleum Geoscience 16 (3), 273-282, 2010 | 311 | 2010 |
Bayesian inversion of marine CSEM data with a trans-dimensional self parametrizing algorithm A Ray, K Key Geophysical Journal International 191 (3), 1135-1151, 2012 | 131 | 2012 |
Robust and accelerated Bayesian inversion of marine controlled-source electromagnetic data using parallel tempering A Ray, DL Alumbaugh, GM Hoversten, K Key Geophysics 78 (6), E271-E280, 2013 | 77 | 2013 |
Non-linear least squares ellipse fitting using the genetic algorithm with applications to strain analysis A Ray, DC Srivastava Journal of Structural Geology 30 (12), 1593-1602, 2008 | 66 | 2008 |
Bayesian inversion of marine CSEM data from the Scarborough gas field using a transdimensional 2-D parametrization A Ray, K Key, T Bodin, D Myer, S Constable Geophysical Journal International 199 (3), 1847-1860, 2014 | 62 | 2014 |
Trans-dimensional Bayesian inversion of airborne transient EM data from Taylor Glacier, Antarctica D Blatter, K Key, A Ray, N Foley, S Tulaczyk, E Auken Geophysical Journal International 214 (3), 1919-1936, 2018 | 61 | 2018 |
Frequency domain full waveform elastic inversion of marine seismic data from the Alba field using a Bayesian trans-dimensional algorithm A Ray, A Sekar, GM Hoversten, U Albertin Geophysical Journal International 205 (2), 915-937, 2016 | 60 | 2016 |
Bayesian joint inversion of controlled source electromagnetic and magnetotelluric data to image freshwater aquifer offshore New Jersey D Blatter, K Key, A Ray, C Gustafson, R Evans Geophysical Journal International 218 (3), 1822-1837, 2019 | 59 | 2019 |
Low frequency full waveform seismic inversion within a tree based Bayesian framework A Ray, S Kaplan, J Washbourne, U Albertin Geophysical Journal International 212 (1), 522-542, 2018 | 55 | 2018 |
Bayesian geophysical inversion with trans-dimensional Gaussian process machine learning A Ray, D Myer Geophysical Journal International 217 (3), 1706-1726, 2019 | 52 | 2019 |
Two-dimensional Bayesian inversion of magnetotelluric data using trans-dimensional Gaussian processes D Blatter, A Ray, K Key Geophysical Journal International 226 (1), 548-563, 2021 | 21 | 2021 |
A plume origin for hydrous melt at the lithosphere–asthenosphere boundary D Blatter, S Naif, K Key, A Ray Nature 604 (7906), 491-494, 2022 | 16 | 2022 |
Bayesian inversion using nested trans-dimensional Gaussian processes A Ray Geophysical Journal International 226 (1), 302-326, 2021 | 13 | 2021 |
Hierarchical Bayesian inversion of marine CSEM data over the Scarborough gas field-A lesson in correlated noise A Ray, K Key, T Bodin SEG International Exposition and Annual Meeting, SEG-2013-1439, 2013 | 13 | 2013 |
Lithospheric-scale controls on zinc–lead–silver deposits of the North Australian Zinc Belt: evidence from isotopic and geophysical data DL Huston, DC Champion, K Czarnota, M Hutchens, M Hoggard, B Ware, ... Exploring for the Future: Extended Abstracts. Edited by K. Czarnota, I …, 2020 | 6 | 2020 |
System and method for full waveform inversion of seismic data A Ray, ST Kaplan, JK Washbourne, UK Albertin US Patent App. 16/027,599, 2019 | 6 | 2019 |
A quantitative Bayesian approach for selecting a deterministic AEM inversion model A Ray, N Symington, Y Ley-Cooper, RC Brodie Geoscience Australia, 2020 | 4 | 2020 |
Probabilistic inversion of audio-frequency magnetotelluric data and application to cover thickness estimation for mineral exploration in Australia W Jiang, RC Brodie, J Duan, I Roach, N Symington, A Ray, J Goodwin Journal of Applied Geophysics 208, 104869, 2023 | 3 | 2023 |
Sicily Channel-integrated interpretation of gravity and magnetic data A Ray, S Witte, E McAllister EGM 2010 International Workshop, cp-165-00020, 2010 | 3 | 2010 |
Bayesian geophysical inversion with Gaussian process machine learning and trans-D Markov chain Monte Carlo A Ray, D Myer ASEG Extended Abstracts 2019 (1), 1-5, 2019 | 2 | 2019 |