A sequential indicator simulation program for categorical variables with point and block data: BlockSIS. - Clayton V. Deutsch (Comput. Geosci., 2006)

Scaling multiple-point statistics to different univariate proportions. - Julián M. Ortiz; Steven Lyster; Clayton V. Deutsch (Comput. Geosci., 2007)

A methodology to construct training images for vein-type deposits. - Jeff B. Boisvert; O. Leuangthong; Julián M. Ortiz; Clayton V. Deutsch (Comput. Geosci., 2008)

A library of training images for fluvial and deepwater reservoirs and associated code. - Michael J. Pyrcz; Jeff B. Boisvert; Clayton V. Deutsch (Comput. Geosci., 2008)

An intrinsic model of coregionalization that solves variance inflation in collocated cokriging. - Olena Babak; Clayton V. Deutsch (Comput. Geosci., 2009)

ALLUVSIM: A program for event-based stochastic modeling of fluvial depositional systems. - Michael J. Pyrcz; Jeff B. Boisvert; Clayton V. Deutsch (Comput. Geosci., 2009)

Programs for kriging and sequential Gaussian simulation with locally varying anisotropy using non-Euclidean distances. - Jeff B. Boisvert; Clayton V. Deutsch (Comput. Geosci., 2011)

Plotting and checking the bivariate distributions of multiple Gaussian data. - Jared L. Deutsch; Clayton V. Deutsch (Comput. Geosci., 2011)

A flexible sequential Gaussian simulation program: USGSIM. - John G. Manchuk; Clayton V. Deutsch (Comput. Geosci., 2012)

Calculating a robust correlation coefficient and quantifying its uncertainty. - Eric B. Niven; Clayton V. Deutsch (Comput. Geosci., 2012)

Accounting for non-exclusivity in sequential indicator simulation of categorical variables. - Olena Babak; John G. Manchuk; Clayton V. Deutsch (Comput. Geosci., 2013)

Optimal ordering of realizations for visualization and presentation. - George de Barros; Clayton V. Deutsch (Comput. Geosci., 2017)

A grid mapping algorithm for modeling with geometric transforms. - Ryan M. Barnett; Mark Murphy; Clayton V. Deutsch (Comput. Geosci., 2019)

Boundary modeling with moving least squares. - John G. Manchuk; Clayton V. Deutsch (Comput. Geosci., 2019)

Decomposition of multivariate spatial data into latent factors. - Felipe Cabral Pinto; Johnathan G. Manchuk; Clayton V. Deutsch (Comput. Geosci., 2021)

Spatial multivariate data imputation using deep learning and lambda distribution. - Mostafa Hadavand; Clayton V. Deutsch (Comput. Geosci., 2023)

Laudatio for Prof. João Felipe Coimbra Leite Costa, recipient of the John Cedric Griffiths teaching Award. - Amílcar Soares 002; Clayton V. Deutsch (Comput. Geosci., 2024)

Automatic variogram calculation and modeling. - Luis Davila Saavedra; Clayton V. Deutsch (Comput. Geosci., 2025)