| Statistics for spatial functional data: some recent contributions P Delicado, R Giraldo, C Comas, J Mateu Environmetrics: The official journal of the International Environmetrics …, 2010 | 254 | 2010 |
| Spatial and spatio-temporal geostatistical modeling and kriging JM Montero, G Fernández-Avilés, J Mateu John Wiley & Sons, 2015 | 238 | 2015 |
| Ordinary kriging for function-valued spatial data R Giraldo, P Delicado, J Mateu Environmental and ecological statistics 18, 411-426, 2011 | 206 | 2011 |
| Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach M Bevilacqua, C Gaetan, J Mateu, E Porcu Journal of the American Statistical Association 107 (497), 268-280, 2012 | 179 | 2012 |
| A comparison between parametric and non-parametric approaches to the analysis of replicated spatial point patterns PJ Diggle, J Mateu, HE Clough Advances in Applied Probability 32 (2), 331-343, 2000 | 155 | 2000 |
| Spatial dynamics of soil salinity under arid and semi-arid conditions: geological and environmental implications MM Jordán, J Navarro-Pedreno, E García-Sánchez, J Mateu, P Juan Environmental geology 45, 448-456, 2004 | 154 | 2004 |
| Statistical challenges of administrative and transaction data DJ Hand Journal of the Royal Statistical Society Series A: Statistics in Society 181 …, 2018 | 133 | 2018 |
| A Bayesian information criterion for singular models M Drton, M Plummer Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 129 | 2017 |
| Detection of cosmic filaments using the Candy model RS Stoica, VJ Martinez, J Mateu, E Saar arXiv preprint astro-ph/0405370, 2004 | 113 | 2004 |
| Nonseparable stationary anisotropic space–time covariance functions E Porcu, P Gregori, J Mateu Stochastic Environmental Research and Risk Assessment 21 (2), 113-122, 2006 | 110 | 2006 |
| Case studies in spatial point process modeling A Baddeley, P Gregori, J Mateu, R Stoica, D Stoyan Springer, 2006 | 110 | 2006 |
| Continuous time-varying kriging for spatial prediction of functional data: An environmental application R Giraldo, P Delicado, J Mateu Journal of agricultural, biological, and environmental statistics 15, 66-82, 2010 | 106 | 2010 |
| Geospatial analysis of extreme weather events in Nigeria (1985–2015) using self-organizing maps A Akande, AC Costa, J Mateu, R Henriques Advances in Meteorology 2017, 2017 | 103 | 2017 |
| Spatio-temporal point process statistics: a review JA González, FJ Rodríguez-Cortés, O Cronie, J Mateu Spatial Statistics 18, 505-544, 2016 | 102 | 2016 |
| A universal kriging approach for spatial functional data W Caballero, R Giraldo, J Mateu Stochastic environmental research and risk assessment 27, 1553-1563, 2013 | 95 | 2013 |
| Thoracic epidural analgesia in coronary artery bypass graft surgery: seven years' experience MC Pastor, MJ Sanchez, MA Casas, J Mateu, ML Bataller Journal of cardiothoracic and vascular anesthesia 17 (2), 154-159, 2003 | 95 | 2003 |
| The spatial pattern of a forest ecosystem J Mateu, JL Uso, F Montes Ecological Modelling 108 (1-3), 163-174, 1998 | 95 | 1998 |
| Kriging with external drift for functional data for air quality monitoring R Ignaccolo, J Mateu, R Giraldo Stochastic environmental research and risk assessment 28, 1171-1186, 2014 | 94 | 2014 |
| Geostatistical methods to identify and map spatial variations of soil salinity P Juan, J Mateu, MM Jordan, J Mataix-Solera, I Meléndez-Pastor, ... Journal of Geochemical Exploration 108 (1), 62-72, 2011 | 91 | 2011 |
| Spatio-temporal log-Gaussian Cox processes for modelling wildfire occurrence: the case of Catalonia, 1994–2008 L Serra, M Saez, J Mateu, D Varga, P Juan, C Díaz-Ávalos, H Rue Environmental and ecological statistics 21, 531-563, 2014 | 83 | 2014 |
