World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
12591
World Ranking
1809
National Ranking
37

Roberto Hornero publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Roberto Hornero sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 346 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Roberto Hornero D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Roberto Hornero sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Roberto Hornero is affiliated with the University of Valladolid in Spain. Their research primarily intersects the fields of neuroscience and medicine, encompassing a total of 144 and 114 publications respectively. Within these main fields, Hornero's work extensively covers subfields such as cognitive neuroscience, physiology, biomedical engineering, endocrine and autonomic systems, and radiology, nuclear medicine and imaging.

Their research topics include:

  • EEG and Brain-Computer Interfaces
  • Obstructive Sleep Apnea Research
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Neuroscience of respiration and sleep
  • Neuroscience and Neural Engineering
  • Non-Invasive Vital Sign Monitoring

Roberto Hornero frequently publishes in several scientific journals. The leading venues for their work include:

  • Journal of Neural Engineering
  • Computers in Biology and Medicine
  • Biomedical Signal Processing and Control
  • Entropy
  • Computer Methods and Programs in Biomedicine

Among recent publications authored by or involving Hornero are:

  • EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Brain-computer interfaces based on code-modulated visual evoked potentials (c-VEP): a literature review, 2021, Journal of Neural Engineering
  • A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea, 2021, IEEE Journal of Biomedical and Health Informatics
  • A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow, 2020, Scientific Reports
  • EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering

Hornero collaborates regularly with other researchers, with top co-authors being Gonzalo C. Gutiérrez-Tobal, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, David Gozal, and Daniel Álvarez. Their scientific network and collaborations contribute to their multidisciplinary approach in both neuroscience and biomedical applications.

Best Publications

  • Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

    Meindert Niemeijer;Bram van Ginneken;Michael J Cree;Atsushi Mizutani

  • Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis

    M. Aboy;R. Hornero;D. Abasolo;D. Alvarez

  • Analysis of EEG background activity in Alzheimer's disease patients with Lempel-Ziv complexity and central tendency measure.

    Daniel Abásolo;Roberto Hornero;Carlos Gómez;María García

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

    J Escudero;D Abásolo;R Hornero;P Espino

  • Retinal image analysis based on mixture models to detect hard exudates.

    Clara I. Sánchez;María García;Agustín Mayo;María Isabel López

  • Neural network based detection of hard exudates in retinal images

    María García;Clara I. Sánchez;María I. López;Daniel Abásolo

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

    Roberto Hornero;Daniel Abásolo;Javier Escudero;Carlos Gómez

  • Use of the Higuchi's fractal dimension for the analysis of MEG recordings from Alzheimer's disease patients.

    Carlos Gómez;Ángela Mediavilla;Roberto Hornero;Daniel Abásolo

  • A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis.

    Clara I. Sánchez;Roberto Hornero;María I. López;Mateo Aboy

  • Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension

    R. Hornero;M. Aboy;D. Abasolo;J. McNames

  • MEG spectral profile in Alzheimer's disease and mild cognitive impairment.

    Alberto Fernández;Roberto Hornero;Agustín Mayo;Jesús Poza

  • EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces

    Eduardo Santamaria-Vazquez;Victor Martinez-Cagigal;Fernando Vaquerizo-Villar;Roberto Hornero

  • Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease

    Jesús Poza;Roberto Hornero;Daniel Abásolo;Alberto Fernández

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

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

  • Automated Multiclass Classification of Spontaneous EEG Activity in Alzheimer's Disease and Mild Cognitive Impairment.

    Saúl J. Ruiz-Gómez;Carlos Gómez;Jesús Poza;Jesús Poza;Gonzalo C. Gutiérrez-Tobal

  • Multivariate Analysis of Blood Oxygen Saturation Recordings in Obstructive Sleep Apnea Diagnosis

    Daniel Álvarez;Roberto Hornero;J Víctor Marcos;Félix del Campo

  • Utility of Approximate Entropy From Overnight Pulse Oximetry Data in the Diagnosis of the Obstructive Sleep Apnea Syndrome

    R. Hornero;D. Alvarez;D. Abasolo;F. del Campo

  • Optimal parameters study for sample entropy-based atrial fibrillation organization analysis

    Raúl Alcaraz;Daniel Abásolo;Roberto Hornero;José J. Rieta

  • Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy

    C.I. Sanchez;R. Hornero;M.I. Lopez;J. Poza

  • Nonlinear characteristics of blood oxygen saturation from nocturnal oximetry for obstructive sleep apnoea detection.

    D Álvarez;R Hornero;D Abásolo;F del Campo

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

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

  • Retinal Image Analysis to Detect and Quantify Lesions Associated With Diabetic Retinopathy

    M. Lopez;C. Sanchez;R. Hornero

Frequent Co-Authors

Alberto Fernández
Alberto Fernández Complutense University of Madrid
Javier Escudero
Javier Escudero University of Edinburgh
David Gozal
David Gozal Marshall University
Leila Kheirandish-Gozal
Leila Kheirandish-Gozal University of Missouri
Clara I. Sánchez
Clara I. Sánchez University of Amsterdam
Fernando Maestú
Fernando Maestú Complutense University of Madrid
James McNames
James McNames Portland State University
Guy A. Dumont
Guy A. Dumont University of British Columbia
Miguel López
Miguel López University of Santiago de Compostela
Georg Northoff
Georg Northoff University of Ottawa

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