Francisco Martínez-Álvarez

Cited by

	All	Since 2019
Citations	6818	5569
h-index	43	38
i10-index	96	90

1300

650

325

975

2011201220132014201520162017201820192020202120222023202438 26 78 87 160 204 222 372 505 746 947 1014 1239 1087

Public access

View all

81 articles

28 articles

available

not available

Based on funding mandates

Co-authors

Alicia Troncoso (ORCID: 0000-0002-9...Full Professor, Data Science & Big Data Lab, Universidad Pablo de OlavideVerified email at upo.es
José C. RiquelmeUniversidad de SevillaVerified email at us.es
Gualberto Asencio-Cortés, Ph.D. (000...Universidad Pablo de Olavide, Sevilla, EspañaVerified email at upo.es
José Francisco Torres MaldonadoData Science & Big Data Lab, Pablo de Olavide UniversityVerified email at upo.es
Antonio Morales-EstebanUniversity of SevilleVerified email at us.es
María Martínez BallesterosUniversidad de SevillaVerified email at us.es
Cristina Rubio-EscuderoSenior Lecturer, University of SevillaVerified email at us.es
David Gutiérrez-AvilésUniversidad de SevillaVerified email at us.es
Jorge ReyesProfesor de Física, Universidad de ChileVerified email at uchile.cl
Abderrazak SEBAAEcole Supérieure en Sciences et Technologies de l'Informatique et du Numérique -ESTIN- BejaiaVerified email at estin.dz
Rubén Pérez ChacónAssistant ProfessorVerified email at upo.es
Talat IqbalCentre for Earthquake Studies (CES)Verified email at ncp.edu.pk
Asim KhawajaGFZ German Research Center for GeosciencesVerified email at gfz-potsdam.de
Rudolf ScitovskiFull professor at the Department of Mathematics, University of OsijekVerified email at mathos.hr
Irena KoprinskaSchool of Computer Science, University of SydneyVerified email at sydney.edu.au
Manuel Jesús Jiménez NavarroUniversity of SevilleVerified email at us.es
Ricardo L. Talavera-Llames (0000-00...Universidad Pablo de Olavide, Sevilla, España.Verified email at upo.es
Dr. Neeraj Dhanraj BokdeTechnology Innovative Institute, Abu DhabiVerified email at tii.ae
Laura Melgar-GarcíaUniversidad Politécnica de MadridVerified email at upm.es
José-Lázaro Amaro-MelladoUniversidad de SevillaVerified email at us.es

Francisco Martínez-Álvarez

Full Professor, Data Science & Big Data Lab, Pablo de Olavide University of Seville, Spain

Verified email at upo.es - Homepage

Data mining Time series XAI Big data analytics Geoinformatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep learning for time series forecasting: a survey JF Torres, D Hadjout, A Sebaa, F Martínez-Álvarez, A Troncoso Big Data 9 (1), 3-21, 2021	627	2021
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area DT Bui, ND Hoang, F Martínez-Álvarez, PTT Ngo, PV Hoa, TD Pham, ... Science of The Total Environment 701, 134413, 2020	361	2020
Energy time series forecasting based on pattern sequence similarity F Martínez-Álvarez, A Troncoso, JC Riquelme, JS Aguilar-Ruiz IEEE Transactions on Knowledge and Data Engineering 23 (8), 1230-1243, 2011	338*	2011
Multi-step forecasting for big data time series based on ensemble learning A Galicia, R Talavera-Llames, A Troncoso, I Koprinska, ... Knowledge-Based Systems 163, 830-841, 2019	248	2019
Earthquake magnitude prediction in Hindukush region using machine learning techniques KM Asim, F Martínez-Álvarez, A Basit, T Iqbal Natural Hazards 85, 471-486, 2017	247	2017
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
A survey on data mining techniques applied to electricity-related time series forecasting F Martínez-Álvarez, A Troncoso, G Asencio-Cortés, JC Riquelme Energies 8 (11), 13162-13193, 2015	220	2015
A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data MS Tehrany, S Jones, F Shabani, F Martínez-Álvarez, D Tien Bui Theoretical and Applied Climatology 137, 637-653, 2019	185	2019
Coronavirus optimization algorithm: a bioinspired metaheuristic based on the COVID-19 propagation model F Martínez-Álvarez, G Asencio-Cortés, JF Torres, D Gutiérrez-Avilés, ... Big data 8 (4), 308-322, 2020	162	2020
Earthquake prediction model using support vector regressor and hybrid neural networks KM Asim, A Idris, T Iqbal, F Martínez-Álvarez PloS one 13 (7), e0199004, 2018	160	2018
A scalable approach based on deep learning for big data time series forecasting JF Torres, A Galicia, A Troncoso, F Martínez-Álvarez Integrated Computer-Aided Engineering 25 (4), 335-348, 2018	138	2018
Big data analytics for discovering electricity consumption patterns in smart cities R Pérez-Chacón, JM Luna-Romera, A Troncoso, F Martínez-Álvarez, ... Energies 11 (3), 683, 2018	127	2018
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables J García-Gutiérrez, F Martínez-Álvarez, A Troncoso, JC Riquelme Neurocomputing 167, 24-31, 2015	119	2015
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	115	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, 2018	105	2018
Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks G Asencio-Cortes, F Martinez-Alvarez, A Troncoso, A Morales-Esteban Neural Computing and Applications 28, 1043-1055, 2017	103	2017
A deep LSTM network for the Spanish electricity consumption forecasting JF Torres, F Martínez-Álvarez, A Troncoso Neural Computing and Applications 34 (13), 10533-10545, 2022	93	2022
Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification KM Asim, A Idris, T Iqbal, F Martínez-Álvarez Soil Dynamics and Earthquake Engineering 111, 1-7, 2018	93	2018
A novel imputation methodology for time series based on pattern sequence forecasting N Bokde, MW Beck, FM Álvarez, K Kulat Pattern recognition letters 116, 88-96, 2018	88	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors