DaSCI
X-twitter Linkedin Instagram Tiktok Facebook Youtube
InicioPersonalDirectorioFrancisco Jesús Martínez Murcia
Ampliar imagen
COMUNICACIÓN Y DIVULGACIÓN CIENTÍFICA

Francisco Jesús Martínez Murcia

Universidad de Granada

Publicaciones

Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation

International Journal of Neural Systems

  • 2025
  • journal-article
Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning
AUTHORS: Francisco J. Martinez-Murcia; Juan Eloy Arco; Carmen Jimenez-Mesa; Fermin Segovia; Ignacio A. Illan; Javier Ramirez; Juan Manuel Gorriz

International Journal of Neural Systems

  • 2024
  • journal-article
Frequency and Longitudinal Course of Behavioral and Neuropsychiatric Symptoms in Participants With Genetic Frontotemporal Dementia
AUTHORS: Sonja Schönecker; Francisco J. Martinez-Murcia; Jannis Denecke; Nicolai Franzmeier; Adrian Danek; Olivia Wagemann; Catharina Prix; Elisabeth Wlasich; Jonathan Vöglein; Sandra V. Loosli; Anna Brauer; Juan-Manuel Górriz Sáez; Arabella Bouzigues; Lucy L. Russell; Phoebe H. Foster; Eve Ferry-Bolder; John C. van Swieten; Lize C. Jiskoot; Harro Seelaar; Raquel Sanchez-Valle; Robert Laforce, Jr; Caroline Graff; Daniela Galimberti; Rik Vandenberghe; Alexandre de Mendonça; Pietro Tiraboschi; Isabel Santana; Alexander Gerhard; Sandro Sorbi; Markus Otto; Florence Pasquier; Simon Ducharme; Christopher Butler; Isabelle Le Ber; Elizabeth Finger; Maria Carmela Tartaglia; Mario Masellis; James B. Rowe; Matthis Synofzik; Fermin Moreno; Barbara Borroni; Jonathan D. Rohrer; Josef Priller; Günter U. Höglinger; Johannes Levin

Neurology

  • 2024
  • journal-article
Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
AUTHORS: Carmen Jimenez-Mesa; Juan E. Arco; Francisco Jesus Martinez-Murcia; John Suckling; Javier Ramirez; Juan Manuel Gorriz

Pharmacological Research

  • 2023
  • journal-article
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification
AUTHORS: Juan E. Arco; Andrés Ortiz; Javier Ramírez; Francisco J. Martínez-Murcia; Yu-Dong Zhang; Jordi Broncano; M. Álvaro Berbís; Javier Royuela-del-Val; Antonio Luna; Juan M. Górriz

IEEE Transactions on Emerging Topics in Computational Intelligence

  • 2023
  • journal-article
Uncertainty-driven ensembles of multi-scale deep architectures for image classification
AUTHORS: Arco, Juan E.; Ortiz, Andres; Ramirez, Javier; Martinez-Murcia, Francisco J.; Zhang, Yu-Dong; Gorriz, Juan M.

Information Fusion

  • 2023
  • journal-article
Capacity Estimation from Environmental Audio Signals Using Deep Learning
AUTHORS: Reyes-Daneri, C.; Martinez-Murcia, F. J.; Ortiz, A.

Lecture Notes in Computer Science

  • 2022
  • journal-article
Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis

Knowledge-Based Systems

  • 2022
  • journal-article
Frequency and Longitudinal Course of Motor Signs in Genetic Frontotemporal Dementia
AUTHORS: Sonja Schönecker; Francisco J. Martinez-Murcia; Boris-Stephan Rauchmann; Nicolai Franzmeier; Catharina Prix; Elisabeth Wlasich; Sandra V. Loosli; Katja Bochmann; Juan-Manuel Gorriz Saez; Robert Laforce, Jr; Simon Ducharme; Maria Carmela Tartaglia; Elizabeth Finger; Alexandre de Mendonça; Isabel Santana; Raquel Sanchez-Valle; Fermin Moreno; Sandro Sorbi; Fabrizio Tagliavini; Barbara Borroni; Markus Otto; Matthis Synofzik; Daniela Galimberti; Rik Vandenberghe; John van Swieten; Christopher Butler; Alexander Gerhard; Caroline Graff; Adrian Danek; Jonathan D. Rohrer; Mario Masellis; James Rowe; Johannes Levin; Sónia Afonso; Maria Rosario Almeida; Sarah Anderl-Straub; Christin Andersson; Anna Antonell; Silvana Archetti; Andrea Arighi; Mircea Balasa; Myriam Barandiaran; Nuria Bargalló; Robart Bartha; Benjamin Bender; Alberto Benussi; Luisa Benussi; Valentina Bessi; Giuliano Binetti; Sandra Black; Martina Bocchetta; Sergi Borrego-Ecija; Jose Bras; Rose Bruffaerts; Marta Cañada; Valentina Cantoni; Paola Caroppo; David Cash; Miguel Castelo-Branco; Rhian Convery; Thomas Cope; Maura Cosseddu; María de Arriba; Giuseppe Di Fede; Zigor Díaz; Alina Díez; Diana Duro; Chiara Fenoglio; Camilla Ferrari; Carlos Ferreira; Catarina B. Ferreira; Toby Flanagan; Nick C. Fox; Giorgio Fumagalli; Alazne Gabilondo; Roberto Gasparotti; Serge Gauthier; Stefano Gazzina; Giorgio Giaccone; Ana Gorostidi; Caroline Greaves; Rita Guerreiro; Carolin Heller; Tobias Hoegen; Begoña Indakoetxea; Vesna Jelic; Lize Jiskoot; Hans-Otto Karnath; Ron Keren; Tobias Langheinrich; Maria João Leitão; Albert Lladó; Gemma Lombardi; Carolina Maruta; Simon Mead; Lieke Meeter; Gabriel Miltenberger; Rick van Minkelen; Sara Mitchell; Katrina M. Moore; Benedetta Nacmias; Mollie Neason; Jennifer Nicholas; Linn Öijerstedt; Jaume Olives; Sebastien Ourselin; Alessandro Padovani; Jessica Panman; Janne Papma; Georgia Peakman; Irene Piaceri; Michela Pievani; Yolande Pijnenburg; Cristina Polito; Enrico Premi; Sara Prioni; Rosa Rademakers; Veronica Redaelli; Tim Rittman; Ekaterina Rogaeva; Pedro Rosa-Neto; Giacomina Ross; Martin N. Rossor; Beatriz Santiago; Elio Scarpini; Elisa Semler; Rachelle Shafei; Christen Shoesmith; Miguel Tábuas-Pereira; Mikel Tainta; Ricardo Taipa; David Tang-Wai; David L. Thomas; Paul Thompson; Hakan Thonberg; Carolyn Timberlake; Pietro Tiraboschi; Emily Todd; Philip Vandamme; Mathieu Vandenbulcke; Michele Veldsman; Ana Verdelho; Jorge Villanua; Jason D. Warren; Carlo Wilke; Ione Woollacott; Henrik Zetterberg; Miren Zulaica

Neurology

  • 2022
  • journal-article
Frequency and Longitudinal Course of Motor Signs in Genetic Frontotemporal Dementia.
AUTHORS: Sonja Schönecker; Francisco Jesús Martínez-Murcia; Boris-Stephan Rauchmann; Nicolai Franzmeier; Catharina Prix; Elisabeth Wlasich; Sandra V Loosli; Katja Bochmann; Juan M. Gorriz; Robert Jr Laforce; Simon Ducharme; Maria Carmela Tartaglia; Elizabeth Finger; Alexandre De Mendonça; Isabel Santana; Raquel Sanchez-Valle; Fermin Moreno; Sandro Sorbi; Fabrizio Tagliavini; Barbara Borroni; Markus Otto; Matthis Synofzik; Daniela Galimberti; Rik Vandenberghe; John Van Swieten; Christopher Butler; Alexander Gerhard; Caroline Graff; Adrian Danek; Jonathan D Rohrer; Mario Masellis; James Rowe; Johannes Levin; Genetic Frontotemporal Dementia Initiative (GENFI)

Wolters Kluwer

  • 2022
  • journal-article
Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images
AUTHORS: Simon-Rodriguez, Jose Antonio; Martinez-Murcia, Francisco Jesus; Ramirez, Javier; Castillo-Barnes, Diego; Gorriz, Juan Manuel

Lecture Notes in Computer Science

  • 2022
  • journal-article
Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images
AUTHORS: Castillo-Barnes, Diego; Jimenez-Mesa, Carmen; Martinez-Murcia, Francisco J.; Salas-Gonzalez, Diego; Ramirez, Javier; Gorriz, Juan M.

International Journal of Neural Systems

  • 2022
  • journal-article
Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging
AUTHORS: Segovia, F.; Ramirez, J.; Salas-Gonzalez, D.; Illan, I. A.; Martinez-Murcia, F. J.; Rodriguez-Rivero, J.; Leiva, F. J.; Gaitan, C.; Gorriz, J. M.

Lecture Notes in Computer Science

  • 2022
  • journal-article
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing
AUTHORS: Formoso, Marco A.; Ortiz, Andres; Martinez-Murcia, Francisco J.; Britez, Diego Aquino; Escobar, Juan Jose; Luque, Juan Luis

Lecture Notes in Computer Science

  • 2022
  • journal-article
Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis
AUTHORS: Gallego-Molina, Nicolas J.; Ortiz, Andres; Martinez-Murcia, Francisco J.; Rodriguez-Rodriguez, Ignacio

Lecture Notes in Computer Science

  • 2022
  • journal-article
Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis
AUTHORS: Marco A. Formoso; Andrés Ortiz; Francisco J. Martinez-Murcia; Nicolás Gallego; Juan L. Luque

Sensors

  • 2021
  • journal-article
Temporal EigenPAC for Dyslexia Diagnosis
AUTHORS: Gallego-Molina, Nicolas J.; Formoso, Marco; Ortiz, Andres; Martinez-Murcia, Francisco J.; Luque, Juan L.

Lecture Notes in Computer Science

  • 2021
  • journal-article
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

International Journal of Neural Systems

  • 2020
  • journal-article
Longitudinal correlation between neurofilament light chain and UMSARS in Multiple System Atrophy
AUTHORS: Carla Palleis; Estrella Morenas-Rodriguez; Francisco Jesús Martínez Murcia; Armin Giese; Brigitte Nuscher; Christian Haass; Günter Höglinger; Kai Bötzel; Johannes Levin

Clinical Neurology and Neurosurgery

  • 2020
  • journal-article
Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders
AUTHORS: Francisco J. Martinez-Murcia; Andres Ortiz; Juan-Manuel Gorriz; Javier Ramirez; Diego Castillo-Barnes

IEEE Journal of Biomedical and Health Informatics

  • 2020
  • journal-article
Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology

International Journal of Neural Systems

  • 2019
  • journal-article
Comparison Between Affine and Non-affine Transformations Applied to I [ 123 ] -FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis

Understanding the Brain Function and Emotions

  • 2019
  • other
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling
AUTHORS: Ortiz, A.; Munilla, J.; Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.

International Journal of Neural Systems

  • 2019
  • journal-article
Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes
AUTHORS: Andrés Ortiz; Francisco J. Martínez Murcia; Jorge Munilla; Juan M. Górriz; Javier Ramírez

Neurocomputing

  • 2019
  • journal-article
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

Understanding the Brain Function and Emotions

  • 2019
  • other
Support Vector Machine Failure in Imbalanced Datasets

Understanding the Brain Function and Emotions

  • 2019
  • other
Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging

Journal of Alzheimer's Disease

  • 2018
  • journal-article
Convolutional Neural Networks for Neuroimaging in Parkinson’s Disease: Is Preprocessing Needed?
AUTHORS: Martinez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Ortiz, A.

International Journal of Neural Systems

  • 2018
  • journal-article
Discriminative Sparse Features for Alzheimer’s Disease Diagnosis Using Multimodal Image Data
AUTHORS: Ortiz, Andres; Lozano, F.; Gorriz, Juan M.; Ramirez, Javier; Martinez Murcia, Francisco J.; Alzheimers Dis Neuroimaging

Current Alzheimer Research

  • 2018
  • journal-article
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares

Journal of Neuroscience Methods

  • 2018
  • journal-article
Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson’s Disease

Frontiers in Neuroinformatics

  • 2018
  • journal-article
Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach

2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018

  • 2018
  • conference-paper
A heavy tailed expectation maximization hidden markov random field model with applications to segmentation of MRI

Frontiers in Neuroinformatics

  • 2017
  • journal-article
A semi-supervised learning approach for model selection based on class-hypothesis testing

Expert Systems With Applications

  • 2017
  • journal-article
Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  • 2017
  • conference-paper
Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism

SPIE Medical Imaging

  • 2017
  • conference-paper
Automatic separation of parkinsonian patients and control subjects based on the striatal morphology

Natural and Artificial Computation for Biomedicine and Neuroscience, Pt I

  • 2017
  • book-chapter
Case-based statistical learning applied to SPECT image classification

SPIE Medical Imaging 2017

  • 2017
  • conference-paper
Case-based statistical learning: A non parametric implementation applied to SPECT images

Natural and Artificial Computation for Biomedicine and Neuroscience

  • 2017
  • conference-paper
Case-Based Statistical Learning: A Non-Parametric Implementation with a Conditional-Error Rate SVM

Ieee Access

  • 2017
  • journal-article
Evaluating Alzheimer’s disease diagnosis using texture analysis

Medical Image Understanding and Analysis

  • 2017
  • conference-paper
Functional brain imaging synthesis based on image decomposition and kernel modeling: Application to neurodegenerative diseases

Frontiers in Neuroinformatics

  • 2017
  • journal-article
mapBrain
AUTHORS: Francisco Jesús Martínez-Murcia

Zenodo

  • 2017
  • other
Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism

Frontiers in neuroinformatics

  • 2017
  • journal-article
On a heavy-tailed intensity normalization of the parkinson’s progression markers initiative brain database

Natural and Artificial Computation for Biomedicine and Neuroscience, Pt I

  • 2017
  • book-chapter
On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance‐weighted principal component analysis
AUTHORS: Francisco Jesús Martinez‐Murcia; Meng‐Chuan Lai; Juan Manuel Górriz; Javier Ramírez; Adam M. H. Young; Sean C. L. Deoni; Christine Ecker; Michael V. Lombardo; Simon Baron‐Cohen; Declan G. M. Murphy; Edward T. Bullmore; John Suckling

Human Brain Mapping

  • 2017
  • journal-article
Preprocessing of 18F-DMFP-PET data based on Hidden Markov random fields and the Gaussian distribution

Frontiers in aging neuroscience

  • 2017
  • journal-article
Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes

Medical Image Understanding and Analysis

  • 2017
  • conference-paper
A Spherical Brain Mapping of MR Images for the Detection of Alzheimer’s Disease.
AUTHORS: Martinez-Murcia FJ; Górriz JM; Ramírez J; Ortiz A; For The Alzheimer's Disease Neuroimaging Initiative

Current Alzheimer research

  • 2016
  • journal-article
A spherical brain mapping of MR images for the detection of Alzheimer’s disease
AUTHORS: Martinez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Ortiz, A.

Current Alzheimer Research

  • 2016
  • journal-article
A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer’s Disease
AUTHORS: Martinez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Ortiz, A.

International Journal of Neural Systems

  • 2016
  • journal-article
An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer’s Disease
AUTHORS: Salas-Gonzalez, Diego; Segovia Román, Fermín; Martínez-Murcia, Francisco Jesús; Lang, Elmar W.; Górriz Sáez, Juan Manuel; Ramírez Pérez de Inestrosa, Javier

Current Alzheimer research

  • 2016
  • journal-article
An optimal approach for selecting discriminant regions for the diagnosis of alzheimer’s disease
AUTHORS: Salas-Gonzalez, D.; Segovia, F.; Martínez-Murcia, F.J.; Lang, E.W.; Górriz, J.M.; Ramírez, J.

Current Alzheimer Research

  • 2016
  • journal-article
Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow

International Conference on EUropean Transnational Education

  • 2016
  • conference-paper
Automated diagnosis of Parkinsonian syndromes by deep sparse filtering-based features

Innovation in Medicine and Healthcare 2016

  • 2016
  • book-chapter
Computer-Aided Diagnosis in Neuroimaging

Computer-aided Technologies-Applications in Engineering and Medicine

  • 2016
  • book-chapter
Ensemble tree learning techniques for magnetic resonance image analysis

Innovation in Medicine and Healthcare 2015

  • 2016
  • conference-paper
Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)

  • 2016
  • conference-paper
MRI brain segmentation using hidden Markov random fields with alpha-stable distributions

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)

  • 2016
  • conference-paper
On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis.
AUTHORS: Francisco Jesús Martínez-Murcia; Meng-Chuan Lai; Juan Manuel Górriz; Javier Ramírez; Adam MH Young; Sean CL Deoni; Christine Ecker; Michael V Lombardo; MRC AIMS Consortium; Simon Baron-Cohen; Declan GM Murphy; Edward T Bullmore; John Suckling

Apollo - University of Cambridge Repository

  • 2016
  • journal-article
PETRA: A web-based system supporting computer aided diagnosis of Alzheimer’s disease

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)

  • 2016
  • conference-paper
Simulating functional brain images in Alzheimer’s disease

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)

  • 2016
  • conference-paper
Statistical feature selection and classification models for Alzheimer’s disease progression assessment

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)

  • 2016
  • conference-paper
A volumetric radial LBP projection of MRI brain images for the diagnosis of Alzheimer’s disease

Artificial Computation in Biology and Medicine, Pt I (Iwinac 2015)

  • 2015
  • book-chapter
Building a FP-CIT SPECT Brain Template Using a Posterization Approach

Neuroinformatics

  • 2015
  • journal-article
Affine registration of [123I]FP-CIT SPECT brain images.
AUTHORS: Salas-Gonzalez D; Górriz JM; Ramírez J; A Illán I; Padilla P; Martínez-Murcia FJ; Lang EW
  • 2014
  • journal-article
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging
AUTHORS: Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Ortiz, A.

Neurocomputing

  • 2014
  • journal-article
Automatic ROI selection in structural brain MRI using SOM 3D projection

PloS one

  • 2014
  • journal-article
Multimodal image data fusion for Alzheimer’s Disease diagnosis by sparse representation

2nd KES International Conference on Innovation in Medicine and Healthcare, InMed 2014

  • 2014
  • conference-paper
Parametrization of textural patterns in123I-ioflupane imaging for the automatic detection of Parkinsonism
AUTHORS: Martinez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Moreno-Caballero, M.; Gómez-Río, M.

Medical Physics

  • 2014
  • journal-article
PETRA: Multivariate analyses for neuroimaging data

Proceeding of 2nd International Work-Conference on Bioinformatics and Biomedical Engineering

  • 2014
  • conference-paper
Projecting MRI brain images for the detection of Alzheimer’s Disease

Studies in Health Technology and Informatics

  • 2014
  • conference-paper
Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease
AUTHORS: Rojas, A.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Martínez-Murcia, F.J.; Ortiz, A.; Gómez Río, M.; Moreno-Caballero, M.

Expert Systems with Applications

  • 2013
  • journal-article
Functional activity maps based on significance measures and Independent Component Analysis
AUTHORS: Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Puntonet, C.G.; Illán, I.A.

Computer Methods and Programs in Biomedicine

  • 2013
  • journal-article
LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease
AUTHORS: Ortiz, A.; Górriz, J.M.; Ramírez, J.; Martínez-Murcia, F.J.

Pattern Recognition Letters

  • 2013
  • journal-article
Texture features based detection of Parkinson’s disease on DaTSCAN images
AUTHORS: Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Puntonet, C.G.

Natural and Artificial Computation in Engineering and Medical Applications

  • 2013
  • other
Computer Aided Diagnosis tool for Alzheimer’s Disease based on Mann-Whitney-Wilcoxon U-Test

Expert Systems with Applications

  • 2012
  • journal-article
Intensity normalization of FP-CIT SPECT in patients with Parkinsonism using the α-stable distribution

2012 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

  • 2012
  • conference-paper
Contacto
fjesusmartinez@ugr.es
Google Scholar
ORCID
R.ID