World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10835
World Ranking
7440
National Ranking
3241

Justin Salamon 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 Justin Salamon 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: 109 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Justin Salamon 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 Justin Salamon 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Justin Salamon is affiliated with Adobe Systems in the United States and focuses on research primarily within the field of Computer Science. Their work concentrates heavily on subfields such as Signal Processing, Developmental Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, and Ecological Modeling.

Their research topics include Music and Audio Processing, Animal Vocal Communication and Behavior, Speech and Audio Processing, Music Technology and Sound Studies, Species Distribution and Climate Change, Speech Recognition and Synthesis, and Marine animal studies overview.

Salamon has published numerous papers across various venues, with a strong presence in repositories and conferences devoted to scientific dissemination such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), the Journal of Applied Ecology, the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the IEEE/ACM Transactions on Audio Speech and Language Processing.

Notable recent publications include:

  • HEAR: Holistic Evaluation of Audio Representations (2022) - arXiv (Cornell University)
  • Automated acoustic monitoring captures timing and intensity of bird migration (2022) - Journal of Applied Ecology
  • Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes (2020) - arXiv (Cornell University)
  • SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context (2020) - arXiv (Cornell University)
  • It's Time for Artistic Correspondence in Music and Video (2022) - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their frequent collaborators include Juan Pablo Bello, Vincent Lostanlen, Andrew Farnsworth, Nicholas J. Bryan, and Aurora Cramer, reflecting active partnerships within interdisciplinary and technical domains.

Salamon's publication record demonstrates a consistent focus on audio and sound data analysis. The topics extend into ecological applications, such as monitoring of animal vocalizations and bird migration timing, intersecting technology development with biological and environmental monitoring.

Their work in signal processing and computer vision supports advancements in audio representation evaluation, sound event detection, and synthetic soundscape benchmarks, contributing to broader efforts in artificial intelligence and ecological modeling.

Best Publications

  • Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

    Justin Salamon;Juan Pablo Bello

  • A Dataset and Taxonomy for Urban Sound Research

    Justin Salamon;Christopher Jacoby;Juan Pablo Bello

  • 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

  • MIR_EVAL: A Transparent Implementation of Common MIR Metrics.

    Colin Raffel;Brian McFee;Eric J. Humphrey;Justin Salamon

  • MedleyDB: A MULTITRACK DATASET FOR ANNOTATION-INTENSIVE MIR RESEARCH

    Rachel M. Bittner;Justin Salamon;Mike Tierney;Matthias Mauch

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

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

  • Look, Listen, and Learn More: Design Choices for Deep Audio Embeddings

    Jason Cramer;Ho-Hsiang Wu;Justin Salamon;Juan Pablo Bello

  • Crepe: A Convolutional Representation for Pitch Estimation

    Jong Wook Kim;Justin Salamon;Peter Li;Juan Pablo Bello

  • Unsupervised feature learning for urban sound classification

    Justin Salamon;Juan Pablo Bello

  • Sound event detection in domestic environments with weakly labeled data and soundscape synthesis

    Nicolas Turpault;Romain Serizel;Ankit Parag Shah;Justin Salamon

  • SONYC: a system for monitoring, analyzing, and mitigating urban noise pollution

    Juan P. Bello;Claudio Silva;Oded Nov;R. Luke Dubois

  • Scaper: A library for soundscape synthesis and augmentation

    Justin Salamon;Duncan MacConnell;Mark Cartwright;Peter Li

  • Deep Salience Representations for F0 Estimation in Polyphonic Music.

    Rachel M. Bittner;Brian McFee;Justin Salamon;Peter Li

  • Adaptive Pooling Operators for Weakly Labeled Sound Event Detection

    Brian McFee;Justin Salamon;Juan Pablo Bello

  • The implementation of low-cost urban acoustic monitoring devices

    Charlie Mydlarz;Justin Salamon;Juan Pablo Bello

  • Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency

    M Mauch;C Cannam;R Bittner;G Fazekas

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

    Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati

  • Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring.

    Justin Salamon;Juan Pablo Bello;Andrew Farnsworth;Matt Robbins

  • Feature learning with deep scattering for urban sound analysis

    Justin Salamon;Juan Pablo Bello

Frequent Co-Authors

Juan Pablo Bello
Juan Pablo Bello New York University
Emilia Gómez
Emilia Gómez Pompeu Fabra University
Xavier Serra
Xavier Serra Pompeu Fabra University
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Hakan Erdogan
Hakan Erdogan Google (United States)
Oded Nov
Oded Nov New York University
John R. Hershey
John R. Hershey Google (United States)
Cláudio T. Silva
Cláudio T. Silva New York University
Perfecto Herrera
Perfecto Herrera Pompeu Fabra University
Bryan C. Russell
Bryan C. Russell Adobe Systems (United States)

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