| Application of the r largest-order statistics for long-term predictions of significant wave height CG Soares, MG Scotto Coastal Engineering 51 (5-6), 387-394, 2004 | 188 | 2004 |
| Thinning-based models in the analysis of integer-valued time series: a review MG Scotto, CH Weiß, S Gouveia Statistical Modelling 15 (6), 590-618, 2015 | 185 | 2015 |
| Modelling uncertainty in long-term predictions of significant wave height CG Soares, M Scotto Ocean Engineering 28 (3), 329-342, 2001 | 144 | 2001 |
| The structure of climate variability across scales CLE Franzke, S Barbosa, R Blender, HB Fredriksen, T Laepple, ... Reviews of Geophysics 58 (2), e2019RG000657, 2020 | 109 | 2020 |
| Bivariate binomial autoregressive models MG Scotto, CH Weiß, ME Silva, I Pereira Journal of Multivariate Analysis 125, 233-251, 2014 | 81 | 2014 |
| Integer-valued self-exciting threshold autoregressive processes M Monteiro, MG Scotto, I Pereira Communications in Statistics-Theory and Methods 41 (15), 2717-2737, 2012 | 75 | 2012 |
| Integer-valued autoregressive processes with periodic structure M Monteiro, MG Scotto, I Pereira Journal of Statistical Planning and Inference 140 (6), 1529-1541, 2010 | 74 | 2010 |
| Summarising changes in air temperature over Central Europe by quantile regression and clustering SM Barbosa, MG Scotto, AM Alonso Natural Hazards and Earth System Sciences 11 (12), 3227-3233, 2011 | 73 | 2011 |
| Bayesian inference for long-term prediction of significant wave height MG Scotto, CG Soares Coastal Engineering 54 (5), 393-400, 2007 | 70 | 2007 |
| Clinical and neurophysiological evaluation of progression in amyotrophic lateral sclerosis M de Carvalho, M Scotto, A Lopes, M Swash Muscle & nerve 28 (5), 630-633, 2003 | 68 | 2003 |
| Quantitating progression in ALS M de Carvalho, M Scotto, A Lopes, M Swash Neurology 64 (10), 1783-1785, 2005 | 67 | 2005 |
| Modelling the long-term time series of significant wave height with non-linear threshold models MG Scotto, CG Soares Coastal Engineering 40 (4), 313-327, 2000 | 61 | 2000 |
| Self-exciting threshold binomial autoregressive processes TA Möller, ME Silva, CH Weiß, MG Scotto, I Pereira AStA Advances in Statistical Analysis 100, 369-400, 2016 | 51 | 2016 |
| Air pollution and emergency admissions for cardiorespiratory diseases in Lisbon (Portugal) CA Alves, MG Scotto, MC Freitas Química Nova 33, 337-344, 2010 | 51 | 2010 |
| Non-linear time series K Turkman, MG Scotto, ZB Patrícia Springer Publications, 2014 | 47 | 2014 |
| Trends in ozone concentrations in the Iberian Peninsula by quantile regression and clustering A Monteiro, A Carvalho, I Ribeiro, M Scotto, S Barbosa, A Alonso, ... Atmospheric environment 56, 184-193, 2012 | 42 | 2012 |
| Clustering time series of sea levels: extreme value approach MG Scotto, AM Alonso, SM Barbosa Journal of waterway, port, coastal, and ocean engineering 136 (4), 215-225, 2010 | 39 | 2010 |
| Clinical patterns in progressive muscular atrophy (PMA): a prospective study M De Carvalho, M Scotto, M Swash Amyotrophic Lateral Sclerosis 8 (5), 296-299, 2007 | 39 | 2007 |
| Neurophysiological markers in familial amyloid polyneuropathy patients: early changes IM Conceição, JF Castro, M Scotto, M de Carvalho Clinical neurophysiology 119 (5), 1082-1087, 2008 | 38 | 2008 |
| Extremes of Some Sub‐Sampled Time Series MG Scotto, KF Turkman, CW Anderson Journal of Time Series Analysis 24 (5), 579-590, 2003 | 38 | 2003 |
