World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6410
World Ranking
9337
National Ranking
578

Javier Escudero publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Javier Escudero sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Javier Escudero D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Javier Escudero sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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