World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7690
World Ranking
10088
National Ranking
161

Emilia Gómez 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 Emilia Gómez 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: 272 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Emilia Gómez 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 Emilia Gómez 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Emilia Gómez is affiliated with Pompeu Fabra University in Spain and has a substantial body of work in computer science. Their research covers a range of subfields including signal processing, artificial intelligence, computer vision and pattern recognition, safety research, and music.

The scientist's work spans multiple main topics, with notable focus on:

  • Music and Audio Processing
  • Music Technology and Sound Studies
  • Ethics and Social Impacts of AI
  • Speech and Audio Processing
  • Neuroscience and Music Perception
  • Diverse Musicological Studies
  • Adversarial Robustness in Machine Learning

Emilia Gómez has published frequently in the following venues:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Transactions of the International Society for Music Information Retrieval
  • Scientific Reports

Their most recent papers include the following titles:

  • "Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications" (2021) published in IEEE Signal Processing Magazine
  • "Futures of artificial intelligence through technology readiness levels" (2020) published in Telematics and Informatics
  • "Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging" (2022) published in Frontiers in Cardiovascular Medicine
  • "Does AI Qualify for the Job?" (2020) published in Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • "Social Media Use and adolescents' mental health and well-being: An umbrella review" (2024) published in Computers in Human Behavior Reports

Emilia Gómez collaborates regularly with several researchers, with the most frequent coauthors being:

  • Helena Cuesta
  • Lorenzo Porcaro
  • Songül Tolan
  • Carlos Castillo
  • Isabelle Hupont

Best Publications

  • Melody Extraction From Polyphonic Music Signals Using Pitch Contour Characteristics

    J. Salamon;E. Gomez

  • Essentia: An Audio Analysis Library for Music Information Retrieval.

    Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati

  • Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification

    J. Serra;E. Gomez;P. Herrera;X. Serra

  • Music Information Retrieval: Recent Developments and Applications

    Markus Schedl;Emilia Gómez;Julián Urbano

  • Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges

    Justin Salamon;Emilia Gomez;Daniel P. W. Ellis;Gael Richard

  • Melody Transcription From Music Audio: Approaches and Evaluation

    G.E. Poliner;D.P.W. Ellis;A.F. Ehmann;E. Gomez

  • Symbolic Representation of Musical Chords: A Proposed Syntax for Text Annotations.

    Christopher Harte;Mark B. Sandler;Samer A. Abdallah;Emilia Gómez

  • Monoaural Audio Source Separation Using Deep Convolutional Neural Networks

    Pritish Chandna;Marius Miron;Jordi Janer;Emilia Gómez

  • Tonal Description of Polyphonic Audio for Music Content Processing

    Emilia Gómez

  • Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond

    Joan Serrà;Emilia Gómez;Perfecto Herrera

  • Semantic audio content-based music recommendation and visualization based on user preference examples

    Dmitry Bogdanov;MartíN Haro;Ferdinand Fuhrmann;Anna Xambó

  • Timbre analysis of music audio signals with convolutional neural networks

    Jordi Pons;Olga Slizovskaia;Rong Gong;Emilia Gomez

  • ESSENTIA: an open-source library for sound and music analysis

    Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati

  • Estimating The Tonality Of Polyphonic Audio Files Cognitive Versus Machine Learning Modelling Strategies

    Emilia Gómez;Perfecto Herrera

  • Melody Description and Extraction in the Context of Music Content Processing

    Emilia Gómez;Anssi Klapuri;Benoît Meudic

  • Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications

    Juan Sebastia Gomez-Canon;Estefania Cano;Tuomas Eerola;Perfecto Herrera

  • Audio Fingerprinting Concepts and Applications

    Pedro Cano;Eloi Batlle;Emilia Gómez;Leandro de C. T. Gomes

  • Artificial intelligence and music : open questions of copyright law and engineering praxis

    Bob L. T. Sturm;Maria Iglesias;Oded Ben-Tal;Marius Miron

  • Futures of artificial intelligence through technology readiness levels

    Fernando Martínez-Plumed;Emilia Gómez;José Hernández-Orallo

  • Musical genre classification using melody features extracted from polyphonic music signals

    Justin Salamon;Bruno Rocha;Emilia Gomez

  • Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks

    Songül Tolan;Annarosa Pesole;Fernando Martínez-Plumed;Enrique Fernández-Macías

  • Tonal representations for music retrieval: from version identification to query-by-humming

    Justin Salamon;Joan Serrà;Emilia Gómez

  • ISMIR 2004 Audio Description Contest

    Pedro Cano;Emilia Gómez;Fabien Gouyon;Perfecto Herrera

Frequent Co-Authors

Perfecto Herrera
Perfecto Herrera Pompeu Fabra University
Xavier Serra
Xavier Serra Pompeu Fabra University
Justin Salamon
Justin Salamon Adobe Systems (United States)
Joan Serrà
Joan Serrà Telefónica (Spain)
José Hernández-Orallo
José Hernández-Orallo Universitat Politècnica de València
Markus Schedl
Markus Schedl Johannes Kepler University of Linz
Carlos Castillo
Carlos Castillo Pompeu Fabra University
Juan Pablo Bello
Juan Pablo Bello New York University
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Björn Schuller
Björn Schuller Imperial College London

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