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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
55
Citations
12163
World Ranking
4314
National Ranking
57

Xavier Serra 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 Xavier Serra 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: 340 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Xavier Serra 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 Xavier Serra 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Xavier Serra is affiliated with Pompeu Fabra University in Spain. Their scholarly work primarily focuses on the field of Computer Science, with significant contributions in subfields such as Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Music, and Cognitive Neuroscience.

The research topics covered by Serra include Music and Audio Processing, Speech and Audio Processing, Music Technology and Sound Studies, Speech Recognition and Synthesis, Diverse Musicological Studies, Neuroscience and Music Perception, and Time Series Analysis and Forecasting.

Serra has contributed to several research papers, notably:

  • "An Interpretable Deep Learning Model for Automatic Sound Classification" (2021, Electronics)
  • "Evaluation of CNN-based Automatic Music Tagging Models" (2020, arXiv (Cornell University))
  • "FSD50K: An Open Dataset of Human-Labeled Sound Events" (2021, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • "Saraga: Open Datasets for Research on Indian Art Music" (2021, Empirical Musicology Review)
  • "Multilabel Prototype Generation for data reduction in K-Nearest Neighbour classification" (2022, Pattern Recognition)

Frequent co-authors in Serra's publications include:

  • Marius Miron
  • Dmitry Bogdanov
  • Pedro Ramoneda
  • Frederic Font
  • Xavier Favory

Serra's research appears regularly in publication venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Repositori digital de la UPF (Universitat Pompeu Fabra)
  • Journal of Crohn's and Colitis
  • Gastroenterología y Hepatología

Regarding book publications, Serra has contributed to works published by the European Organization for Nuclear Research, including the "Proceedings of the 23nd International Society for Music Information Retrieval Conference" in 2022.

Best Publications

  • Spectral modeling synthesis: A sound analysis/synthesis based on a deterministic plus stochastic decomposition

    Xavier Serra;Julius O. Smith

  • Musical Sound Modeling with Sinusoids plus Noise

    Xavier Serra

  • A system for sound analysis/transformation/synthesis based on a deterministic plus stochastic decomposition

    Xavier Serra

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

    Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati

  • A Wavenet for Speech Denoising

    Dario Rethage;Jordi Pons;Xavier Serra

  • PARSHL: An analysis/synthesis program for non-harmonic sounds based on a sinusoidal representation

    Julius O. Smith;Xavier Serra

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

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

  • Freesound technical demo

    Frederic Font;Gerard Roma;Xavier Serra

  • Method of and apparatus for analyzing and synthesizing a sound by extracting and controlling a sound parameter

    Xavier Serra;Chris Williams;Robert Gross;Erling Wold

  • Cross recurrence quantification for cover song identification

    Joan Serrà;Xavier Serra;Ralph G Andrzejak

  • Freesound Datasets: A Platform for the Creation of Open Audio Datasets.

    Eduardo Fonseca;Jordi Pons;Xavier Favory;Frederic Font

  • SaxEx : a case-based reasoning system for generating expressive musical performances

    Josep Lluís Arcos;Ramon López de Mántaras;Xavier Serra

  • Towards instrument segmentation for music content description a critical review of instrument classification techniques

    Perfecto Herrera-Boyer;Xavier Amatriain;Eloi Batlle;Xavier Serra

  • Experimenting with musically motivated convolutional neural networks

    Jordi Pons;Thomas Lidy;Xavier Serra

  • End-to-end Learning for Music Audio Tagging at Scale

    Jordi Pons;Oriol Nieto;Matthew Prockup;Erik M. Schmidt

  • Sound and Music Recommendation with Knowledge Graphs

    Sergio Oramas;Vito Claudio Ostuni;Tommaso Di Noia;Xavier Serra

  • 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

  • General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

    Eduardo Fonseca;Manoj Plakal;Frederic Font;Daniel P. W. Ellis

  • Multimodal Deep Learning for Music Genre Classification

    Sergio Oramas;Francesco Barbieri;Oriol Nieto;Xavier Serra

  • Synthesis of the Singing Voice by Performance Sampling and Spectral Models

    J. Bonada;X. Serra

  • FSD50K: an Open Dataset of Human-Labeled Sound Events

    Eduardo Fonseca;Xavier Favory;Jordi Pons;Frederic Font

Frequent Co-Authors

Perfecto Herrera
Perfecto Herrera Pompeu Fabra University
Joan Serrà
Joan Serrà Telefónica (Spain)
Emilia Gómez
Emilia Gómez Pompeu Fabra University
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Julius O. Smith
Julius O. Smith Stanford University
Justin Salamon
Justin Salamon Adobe Systems (United States)
Gerhard Widmer
Gerhard Widmer Johannes Kepler University of Linz
Tuomas Virtanen
Tuomas Virtanen Tampere University
Ramon López de Mántaras
Ramon López de Mántaras Spanish National Research Council
Horacio Saggion
Horacio Saggion Pompeu Fabra University

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