World's Best Scientists 2026 revealed!
Juan Ignacio Godino-Llorente

Juan Ignacio Godino-Llorente

D-Index & Metrics

Computer Science

D-Index
37
Citations
5048
World Ranking
10867
National Ranking
174

Juan Ignacio Godino-Llorente 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 Juan Ignacio Godino-Llorente 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: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Juan Ignacio Godino-Llorente 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 Juan Ignacio Godino-Llorente 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Juan Ignacio Godino-Llorente is affiliated with the Technical University of Madrid in Spain. Their research spans multiple areas primarily focused on medicine and computer science, with a significant emphasis on artificial intelligence applications in healthcare.

The main fields of study in their work are:

  • Medicine
  • Computer Science

Their research also covers several subfields, including:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Physiology
  • Biomedical Engineering
  • Experimental and Cognitive Psychology

Juan Ignacio Godino-Llorente's major topics of research include:

  • Voice and Speech Disorders
  • Speech Recognition and Synthesis
  • COVID-19 diagnosis using AI
  • Radiomics and Machine Learning in Medical Imaging
  • Phonetics and Phonology Research
  • Dysphagia Assessment and Management
  • Artificial Intelligence in Healthcare and Education

Their recent papers illustrate a range of contributions to biomedical engineering, signal processing, and artificial intelligence. Selected publications are:

  • "Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects," 2021, published in Biomedical Signal Processing and Control
  • "Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach," 2020, published in PubMed Central
  • "Cardiopulmonary Activity Monitoring Using Millimeter Wave Radars," 2020, published in Remote Sensing
  • "Laryngeal Image Processing of Vocal Folds Motion," 2020, published in Applied Sciences
  • "On the design of automatic voice condition analysis systems. Part III: review of acoustic modelling strategies," 2021, published in Biomedical Signal Processing and Control

Frequent collaborators in their research include:

  • Julián D. Arias-Londoño
  • Jorge A. Gómez-García
  • Laureano Moro-Velázquez
  • Alejandro Guerrero-López
  • Francisco Grandas-Pérez

Their work appears consistently in several notable publication venues such as:

  • arXiv (Cornell University)
  • Biomedical Signal Processing and Control
  • IEEE Access
  • Scientific Data
  • Data in Brief

Best Publications

  • Dimensionality Reduction of a Pathological Voice Quality Assessment System Based on Gaussian Mixture Models and Short-Term Cepstral Parameters

    J.I. Godino-Llorente;P. Gomez-Vilda;M. Blanco-Velasco

  • Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors

    J.I. Godino-Llorente;P. Gomez-Vilda

  • Methodological issues in the development of automatic systems for voice pathology detection

    Nicolás Sáenz-Lechón;Juan I. Godino-Llorente;Víctor Osma-Ruiz;Pedro Gómez-Vilda

  • Characterization of Healthy and Pathological Voice Through Measures Based on Nonlinear Dynamics

    P. Henriquez;J.B. Alonso;M.A. Ferrer;C.M. Travieso

  • Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and Mel-Cepstral Coefficients

    J D Arias-Londoño;J I Godino-Llorente;N Sáenz-Lechón;V Osma-Ruiz

  • Glottal Source biometrical signature for voice pathology detection

    Pedro Gómez-Vilda;Roberto Fernández-Baillo;Victoria Rodellar-Biarge;Víctor Nieto Lluis

  • Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

    Laureano Moro-Velazquez;Jorge A. Gomez-Garcia;Julian D. Arias-Londoño;Najim Dehak

  • Cepstral peak prominence: A comprehensive analysis

    Rubén Fraile;Juan Ignacio Godino-Llorente

  • An improved watershed algorithm based on efficient computation of shortest paths

    Víctor Osma-Ruiz;Juan I. Godino-Llorente;Nicolás Sáenz-Lechón;Pedro Gómez-Vilda

  • Selection of Dynamic Features Based on Time–Frequency Representations for Heart Murmur Detection from Phonocardiographic Signals

    A. F. Quiceno-Manrique;J. I. Godino-Llorente;M. Blanco-Velasco;G. Castellanos-Dominguez

  • Digital auscultation analysis for heart murmur detection.

    Edilson Delgado-Trejos;A.F. Quiceno-Manrique;J.I. Godino-Llorente;M. Blanco-Velasco

  • The effectiveness of the glottal to noise excitation ratio for the screening of voice disorders.

    Juan Ignacio Godino-Llorente;Víctor Osma-Ruiz;Nicolás Sáenz-Lechón;Pedro Gómez-Vilda

  • ECG compression with retrieved quality guaranteed

    M. Blanco-Velasco;F. Cruz-Roldan;J.I. Godino-Llorente;K.E. Barner

  • On combining information from modulation spectra and mel-frequency cepstral coefficients for automatic detection of pathological voices

    Julián David Arias-Londoño;Juan I Godino-Llorente;Maria Markaki;Yannis Stylianou

  • Acoustic analysis of voice using WPCVox: a comparative study with Multi Dimensional Voice Program.

    Juan Ignacio Godino-Llorente;Víctor Osma-Ruiz;Nicolás Sáenz-Lechón;Ignacio Cobeta-Marco

  • Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease

    Laureano Moro-Velázquez;Jorge Andrés Gómez-García;Juan Ignacio Godino-Llorente;Jesús Villalba

  • Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach

    Julian D. Arias-Londono;Jorge A. Gomez-Garcia;Laureano Moro-Velazquez;Juan I. Godino-Llorente

  • An improved method for voice pathology detection by means of a HMM-based feature space transformation

    Julián D. Arias-Londoño;Juan I. Godino-Llorente;Nicolás Sáenz-Lechón;Víctor Osma-Ruiz

  • Feature Extraction From Parametric Time–Frequency Representations for Heart Murmur Detection

    L. D. Avendaño-Valencia;J. I. Godino-Llorente;M. Blanco-Velasco;G. Castellanos-Dominguez

  • An integrated tool for the diagnosis of voice disorders

    Juan I. Godino-Llorente;Nicolás Sáenz-Lechón;Víctor Osma-Ruiz;Santiago Aguilera-Navarro

  • Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and

    Mel-Cepstral Coefficients;Juan I. Godino-Llorente

Frequent Co-Authors

Najim Dehak
Najim Dehak Johns Hopkins University
Kenneth E. Barner
Kenneth E. Barner University of Delaware
Juan Rafael Orozco-Arroyave
Juan Rafael Orozco-Arroyave University of Antioquia
Yannis Stylianou
Yannis Stylianou University of Crete
Ignacio Santamaria
Ignacio Santamaria University of Cantabria
Miguel Ferrer
Miguel Ferrer University of Las Palmas de Gran Canaria
Elmar Nöth
Elmar Nöth University of Erlangen-Nuremberg

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