World's Best Scientists 2026 revealed!
Perfecto Herrera

Perfecto Herrera

D-Index & Metrics

Computer Science

D-Index
40
Citations
6406
World Ranking
9338
National Ranking
144

Perfecto Herrera 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 Perfecto Herrera 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Perfecto Herrera 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 Perfecto Herrera 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

Perfecto Herrera is affiliated with Pompeu Fabra University in Spain and has contributed extensively to the field of computer science, with a specific focus on music and audio processing. Their research encompasses areas such as signal processing, cognitive neuroscience, computer vision, artificial intelligence, and music.

The scientist's work often intersects with diverse topics including music and audio processing, neuroscience and music perception, music technology and sound studies, speech and audio processing, diverse musicological studies, emotion and mood recognition, and animal vocal communication and behavior.

Recent publications include:

  • Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications, 2021, IEEE Signal Processing Magazine
  • TROMPA-MER: an open dataset for personalized music emotion recognition, 2022, Journal of Intelligent Information Systems
  • Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • TROMPA-MER: an open dataset for personalized Music Emotion Recognition, 2022, Research Square (Research Square)

Frequent coauthors with whom they have collaborated include:

  • Juan Sebastián Gómez-Cañón
  • Estefanía Cano
  • Emília Gómez
  • Daniel Gómez-Marín
  • Sergi Jordà

Publication venues regularly featuring their work are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Signal Processing Magazine
  • Transactions of the International Society for Music Information Retrieval
  • Journal of Intelligent Information Systems
  • Research Square (Research Square)

Their research contributions span 21 publications primarily classified under computer science, emphasizing 13 publications in signal processing, 6 in cognitive neuroscience, 5 in computer vision and pattern recognition, 3 under artificial intelligence, and 3 related to music. This distribution highlights a cross-disciplinary approach towards understanding and developing technology related to music and audio analysis.

Best Publications

  • 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

  • Multimodal Music Mood Classification Using Audio and Lyrics

    C. Laurier;J. Grivolla;P. Herrera

  • A new approach to evaluating novel recommendations

    Òscar Celma;Perfecto Herrera

  • The roles of superficial amygdala and auditory cortex in music-evoked fear and joy.

    Stefan Koelsch;Stefan Koelsch;Stavros Skouras;Stavros Skouras;Thomas Fritz;Perfecto Herrera

  • Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012

    F. Gouyon;Perfecto Herrera;L. G. Martins;M. Müller

  • MUSIC MOOD REPRESENTATIONS FROM SOCIAL TAGS

    Cyril Laurier;Mohamed Sordo;Joan Serrà;Perfecto Herrera

  • 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

  • Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques

    Perfecto Herrera;Alexandre Yeterian;Fabien Gouyon

  • Instrument Sound Description in the Context of MPEG-7

    Geoffroy Peeters;Stephen McAdams;Perfecto Herrera

  • 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

  • A COMPARISON OF SOUND SEGREGATION TECHNIQUES FOR PREDOMINANT INSTRUMENT RECOGNITION IN MUSICAL AUDIO SIGNALS

    Juan J. Bosch;Jordi Janer;Ferdinand Fuhrmann;Perfecto Herrera

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

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

  • Foafing the music: A music recommendation system based on RSS feeds and user preferences

    Òscar Celma;Miquel Ramírez;Perfecto Herrera

  • Unifying Low-Level and High-Level Music Similarity Measures

    D. Bogdanov;J. Serra;N. Wack;P. Herrera

  • ISMIR 2004 Audio Description Contest

    Pedro Cano;Emilia Gómez;Fabien Gouyon;Perfecto Herrera

  • Automatic labeling of unpitched percussion sounds

    P. Herrera;Amaury Dehamel;Fabien Gouyon

  • Roadmap for Music Information ReSearch

    Xavier Serra;Michela Magas;Emmanouil Benetos;Magdalena Chudy

  • Vibrato Extraction and Parameterization in the Spectral Modeling Synthesis framework

    Perfecto Herrera;J. Bonada

Frequent Co-Authors

Emilia Gómez
Emilia Gómez Pompeu Fabra University
Xavier Serra
Xavier Serra Pompeu Fabra University
Joan Serrà
Joan Serrà Telefónica (Spain)
Massimiliano Zanin
Massimiliano Zanin University of the Balearic Islands
Justin Salamon
Justin Salamon Adobe Systems (United States)
François Pachet
François Pachet Sorbonne University
Gerhard Widmer
Gerhard Widmer Johannes Kepler University of Linz
Stefan Koelsch
Stefan Koelsch University of Bergen
Stephen McAdams
Stephen McAdams McGill University
Arthur M. Jacobs
Arthur M. Jacobs Freie Universität Berlin

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