| Indicator simulation accounting for multiple-point statistics JM Ortiz, CV Deutsch Mathematical Geology 36, 545-565, 2004 | 104 | 2004 |
| Calculation of uncertainty in the variogram J Ortiz, CV Deutsch Mathematical Geology 34 (2), 169-183, 2002 | 79 | 2002 |
| Geostatistical estimation of mineral resources with soft geological boundaries: a comparative study JM Ortiz, X Emery JOURNAL-SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY 106 (8), 577, 2006 | 78 | 2006 |
| Parallel implementation of simulated annealing to reproduce multiple-point statistics O Peredo, JM Ortiz Computers & geosciences 37 (8), 1110-1121, 2011 | 62 | 2011 |
| Quantifying uncertainty in mineral resources by use of classification schemes and conditional simulations X Emery, JM Ortiz, JJ Rodríguez Mathematical geology 38, 445-464, 2006 | 58 | 2006 |
| A comparison between ACO and Dijkstra algorithms for optimal ore concentrate pipeline routing D Baeza, CF Ihle, JM Ortiz Journal of Cleaner Production 144, 149-160, 2017 | 57 | 2017 |
| Adapting a texture synthesis algorithm for conditional multiple point geostatistical simulation Á Parra, JM Ortiz Stochastic environmental research and risk assessment 25, 1101-1111, 2011 | 56 | 2011 |
| Estimation of mineral resources using grade domains: critical analysis and a suggested methodology JM Emery, X. & Ortiz Journal of the Southern African Institute of Mining and Metallurgy 105 (4 …, 2005 | 54 | 2005 |
| Verifying the high-order consistency of training images with data for multiple-point geostatistics C Pérez, G Mariethoz, JM Ortiz Computers & Geosciences 70, 190-205, 2014 | 50 | 2014 |
| Weighted sample variograms as a tool to better assess the spatial variability of soil properties X Emery, JM Ortiz Geoderma 140 (1-2), 81-89, 2007 | 44 | 2007 |
| Copper mining: 100% solar electricity by 2030? J Haas, S Moreno-Leiva, T Junne, PJ Chen, G Pamparana, W Nowak, ... Applied energy 262, 114506, 2020 | 43 | 2020 |
| Block size selection and its impact on open-pit design and mine planning JM Jara, RM*, Couble, A.*, Emery, X.**, Magri, EJ** & Ortiz Journal of the Southern African Institute of Mining and Metallurgy 106 (3 …, 2006 | 41 | 2006 |
| Machine learning and deep learning methods in mining operations: A data-driven SAG mill energy consumption prediction application S Avalos, W Kracht, JM Ortiz Mining, Metallurgy & Exploration 37 (4), 1197-1212, 2020 | 40 | 2020 |
| Multiple-point geostatistical simulation of dykes: application at Sungun porphyry copper system, Iran H Rezaee, O Asghari, M Koneshloo, JM Ortiz Stochastic environmental research and risk assessment 28, 1913-1927, 2014 | 40 | 2014 |
| Assessment of RMR and its uncertainty by using geostatistical simulation in a mining project M Egaña, JM Ortiz Journal of GeoEngineering 8 (3), 83-90, 2013 | 37 | 2013 |
| Characterization of high order correlation for enhanced indicator simulation. CJM Ortiz | 35 | 2003 |
| Urban dynamic estimation using mobile phone logs and locally varying anisotropy OF Peredo, JA García, R Stuven, JM Ortiz Geostatistics Valencia 2016, 949-964, 2017 | 32 | 2017 |
| Geostatistical modelling of rock type domains with spatially varying proportions: application to a porphyry copper deposit X Emery, JM Ortiz, AM Cáceres Journal of the Southern African Institute of Mining and Metallurgy 108 (5 …, 2008 | 31 | 2008 |
| Histogram and variogram inference in the multigaussian model X Emery, JM Ortiz Stochastic environmental research and risk assessment 19, 48-58, 2005 | 31 | 2005 |
| Optimization of a SAG mill energy system: Integrating rock hardness, solar irradiation, climate change, and demand-side management JM Ortiz, W Kracht, G Pamparana, J Haas Mathematical Geosciences 52, 355-379, 2020 | 27 | 2020 |
Clayton V DeutschUniversity of AlbertaDirección de correo verificada de ualberta.ca
