World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6410
World Ranking
9338
National Ranking
581

Overview

Javier Escudero is affiliated with the University of Edinburgh in the United Kingdom. Their research primarily focuses on neuroscience and medicine, with substantial contributions to cognitive neuroscience, radiology, nuclear medicine and imaging, cellular and molecular neuroscience, psychiatry and mental health, and molecular biology.

The scientist has extensively published in topics related to functional brain connectivity studies, EEG and brain-computer interfaces, neural dynamics and brain function, advanced neuroimaging techniques and applications, dementia and cognitive impairment research, cerebrospinal fluid and hydrocephalus, and fetal and pediatric neurological disorders.

Javier Escudero has contributed to several research papers, including:

  • Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts (2020), Clinical Neurophysiology
  • Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel (2021), Alzheimer s & Dementia
  • Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer's disease, mild cognitive impairment and healthy ageing (2021), Journal of Neural Engineering
  • Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations (2024), Nature Medicine
  • Flow rate measurement of oil-gas-water wavy flow through a combined electrical and ultrasonic sensor (2021), Chemical Engineering Journal

Frequent coauthors with whom Javier Escudero has collaborated include:

  • Mario A. Parra
  • Tsz-Yan Milly Lo
  • Claudio Babiloni
  • Bahar Güntekin
  • Agustín Ibáñez

Their work has appeared in various publication venues, with multiple articles published in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • Preprints.org
  • Clinical Neurophysiology

Best Publications

  • Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography

    A. H. Al-Timemy;G. Bugmann;J. Escudero;N. Outram

  • Improving the Performance Against Force Variation of EMG Controlled Multifunctional Upper-Limb Prostheses for Transradial Amputees

    Ali H. Al-Timemy;Rami N. Khushaba;Guido Bugmann;Javier Escudero

  • Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals

    Hamed Azami;Mostafa Rostaghi;Daniel Abasolo;Javier Escudero

  • Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy.

    J Escudero;D Abásolo;R Hornero;P Espino

  • Role of EEG as Biomarker in the Early Detection and Classification of Dementia

    Noor Kamal Al-Qazzaz;Sawal Hamid Bin Md. Ali;Siti Anom Ahmad;Kalaivani Chellappan

  • Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease

    Roberto Hornero;Daniel Abásolo;Javier Escudero;Carlos Gómez

  • Amplitude-aware permutation entropy

    Hamed Azami;Javier Escudero

  • Improved Multiscale Permutation Entropy for Biomedical Signal Analysis: Interpretation and Application to Electroencephalogram Recordings

    Hamed Azami;Javier Escudero

  • Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task

    Noor Kamal Al-Qazzaz;Sawal Hamid Bin Mohd Ali;Siti Anom Ahmad;Mohd Shabiul Islam

  • Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis.

    Hamed Azami;Alberto Fernández;Javier Escudero

  • Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients.

    Daniel E. Abásolo;Javier Escudero;Roberto Hornero;Carlos Gómez

  • Cortical reorganization during PASAT task in MS patients with preserved working memory functions.

    Cristina Forn;Alfonso Barrós-Loscertales;Javier Escudero;Vicente Belloch

  • Spectral and Nonlinear Analyses of MEG Background Activity in Patients With Alzheimer's Disease

    R. Hornero;J. Escudero;A. Fernandez;J. Poza

  • Multiscale Fluctuation-based Dispersion Entropy and its Applications to Neurological Diseases

    Hamed Azami;Steven E. Arnold;Saeid Sanei;Zhuoqing Chang

  • Machine Learning-Based Method for Personalized and Cost-Effective Detection of Alzheimer's Disease

    J. Escudero;E. Ifeachor;J. P. Zajicek;C. Green

  • Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment

    María Andreina Méndez;Pilar Zuluaga;Roberto Hornero;Carlos Gómez

  • Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images

    Xiaobing Lu;Yongzhe Yang;Fengchun Wu;Minjian Gao

  • Refined composite multivariate generalized multiscale fuzzy entropy: A tool for complexity analysis of multichannel signals

    Hamed Azami;Javier Escudero

  • Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis

    J. Escudero;R. Hornero;D. Abasolo;A. Fernandez

  • Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA-WT during Working Memory Tasks.

    Noor Kamal Al-Qazzaz;Noor Kamal Al-Qazzaz;Sawal Hamid Bin Mohd Ali;Siti Anom Ahmad;Mohd Shabiul Islam

  • Matlab codes for "Improved Multiscale Permutation Entropy for Biomedical Signal Analysis: Interpretation and Application to Electroencephalogram Recordings"

    Hamed Azami;Javier Escudero

Frequent Co-Authors

Roberto Hornero
Roberto Hornero University of Valladolid
Keith Smith
Keith Smith University of Edinburgh
Alberto Fernández
Alberto Fernández Complutense University of Madrid
Mario A. Parra
Mario A. Parra University of Strathclyde
Miguel Angel Rodriguez-Perez
Miguel Angel Rodriguez-Perez University of Valladolid
Emmanuel Ifeachor
Emmanuel Ifeachor Plymouth University
John M. Starr
John M. Starr University of Edinburgh
Rhian M. Touyz
Rhian M. Touyz McGill University Health Centre
Joanna M. Wardlaw
Joanna M. Wardlaw University of Edinburgh
Saeid Sanei
Saeid Sanei Nottingham Trent University

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