| Neural networks to predict earthquakes in Chile J Reyes, A Morales-Esteban, F Martínez-Álvarez Applied Soft Computing 13 (2), 1314-1328, 2013 | 242 | 2013 |
| Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula F Martínez-Álvarez, J Reyes, A Morales-Esteban, C Rubio-Escudero Knowledge-Based Systems 50, 198-210, 2013 | 117 | 2013 |
| Pattern recognition to forecast seismic time series A Morales-Esteban, F Martínez-Álvarez, A Troncoso, JL Justo, ... Expert Systems with Applications 37 (12), 8333-8342, 2010 | 113 | 2010 |
| Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure G Asencio–Cortés, A Morales–Esteban, X Shang, F Martínez–Álvarez Computers & Geosciences 115, 198-210, 2017 | 105 | 2017 |
| Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks G Asencio-Cortés, F Martínez-Álvarez, A Troncoso, A Morales-Esteban Neural Computing and Applications 28 (5), 1043-1055, 2017 | 103 | 2017 |
| Improving microseismic event and quarry blast classification using Artificial Neural Networks based on Principal Component Analysis X Shang, X Li, A Morales-Esteban, G Chen Soil Dynamics and Earthquake Engineering 99, 142-149, 2017 | 90 | 2017 |
| Earthquake prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence A Morales-Esteban, F Martínez-Álvarez, J Reyes Tectonophysics 593, 121-134, 2013 | 78 | 2013 |
| A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning A Morales-Esteban, F Martínez-Álvarez, S Scitovski, R Scitovski Computers & geosciences 73, 132-141, 2014 | 76 | 2014 |
| A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction G Asencio-Cortés, F Martínez-Álvarez, A Morales-Esteban, J Reyes Knowledge-Based Systems 101, 15-30, 2016 | 71 | 2016 |
| Identifying P phase arrival of weak events: The Akaike Information Criterion picking application based on the Empirical Mode Decomposition X Li, X Shang, A Morales-Esteban, Z Wang Computers & Geosciences 100, 57-66, 2017 | 67 | 2017 |
| Detecting precursory patterns to enhance earthquake prediction in Chile E Florido, F Martínez-Álvarez, A Morales-Esteban, J Reyes, ... Computers & Geosciences 76, 112-120, 2015 | 63 | 2015 |
| Enhancing micro-seismic P-phase arrival picking: EMD-cosine function-based denoising with an application to the AIC picker X Shang, X Li, A Morales-Esteban, L Dong Journal of Applied Geophysics 150, 325-337, 2018 | 41 | 2018 |
| Comparing seismic parameters for different source zone models in the Iberian Peninsula JL Amaro-Mellado, A Morales-Esteban, G Asencio-Cortés, ... Tectonophysics 717, 449-472, 2017 | 41 | 2017 |
| An index-based method for evaluating seismic retrofitting techniques. Application to a reinforced concrete primary school in Huelva MV Requena-García-Cruz, A Morales-Esteban, P Durand-Neyra, ... PLoS One 14 (4), e0215120, 2019 | 40 | 2019 |
| Analysis of the soil structure-interaction effects on the seismic vulnerability of mid-rise RC buildings in Lisbon MV Requena-Garcia-Cruz, R Bento, P Durand-Neyra, A Morales-Esteban Structures 38, 599-617, 2022 | 37 | 2022 |
| Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system JL Amaro-Mellado, A Morales-Esteban, F Martínez-Álvarez Central European Journal of Operations Research, 1-20, 2017 | 37 | 2017 |
| Big data and natural disasters: New approaches for spatial and temporal massive data analysis F Martínez–Álvarez, A Morales–Esteban Computers & Geosciences 129, 38-39, 2019 | 36 | 2019 |
| Earthquake magnitude prediction based on artificial neural networks: A survey E Florido, JL Aznarte, A Morales-Esteban, F Martínez-Álvarez Croatian Operational Research Review 7 (2), 159-169, 2016 | 35 | 2016 |
| Improving earthquake prediction with principal component analysis: application to Chile G Asencio-Cortés, F Martínez-Álvarez, A Morales-Esteban, J Reyes, ... International Conference on Hybrid Artificial Intelligence Systems, 393-404, 2015 | 34 | 2015 |
| Computational intelligence techniques for predicting earthquakes F Martínez-Álvarez, A Troncoso, A Morales-Esteban, JC Riquelme International Conference on Hybrid Artificial Intelligence Systems, 287-294, 2011 | 34 | 2011 |
Francisco Martínez-ÁlvarezFull Professor, Data Science & Big Data Lab, Pablo de Olavide University of Seville, SpainVerified email at upo.es
