World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5540
World Ranking
13465
National Ranking
856

Emmanouil Benetos 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 Emmanouil Benetos 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: 337 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.

Emmanouil Benetos 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 Emmanouil Benetos 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Best Publications

  • Detection and Classification of Acoustic Scenes and Events

    Dan Stowell;Dimitrios Giannoulis;Emmanouil Benetos;Mathieu Lagrange

  • Automatic music transcription: challenges and future directions

    Emmanouil Benetos;Simon Dixon;Dimitrios Giannoulis;Holger Kirchhoff

  • An end-to-end neural network for polyphonic piano music transcription

    Siddharth Sigtia;Emmanouil Benetos;Simon Dixon

  • Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge

    Annamaria Mesaros;Toni Heittola;Emmanouil Benetos;Peter Foster

  • Automatic Music Transcription: An Overview

    Emmanouil Benetos;Simon Dixon;Zhiyao Duan;Sebastian Ewert

  • Detection and classification of acoustic scenes and events: An IEEE AASP challenge

    Dimitrios Giannoulis;Emmanouil Benetos;Dan Stowell;Mathias Rossignol

  • Music genre classification: a multilinear approach

    Ioannis Panagakis;Emmanouil Benetos;Constantine Kotropoulos

  • A shift-invariant latent variable model for automatic music transcription

    Emmanouil Benetos;Simon Dixon

  • Multiple-instrument polyphonic music transcription using a temporally constrained shift-invariant model

    Emmanouil Benetos;Simon Dixon

  • Speaker recognition with hybrid features from a deep belief network

    Unknown

  • An efficient temporally-constrained probabilistic model for multiple-instrument music transcription

    Unknown

  • A database and challenge for acoustic scene classification and event detection

    Dimitrios Giannoulis;Dan Stowell;Emmanouil Benetos;Mathias Rossignol

  • Musical Instrument Classification using Non-Negative Matrix Factorization Algorithms and Subset Feature Selection

    E. Benetos;M. Kotti;C. Kotropoulos

  • Automatic Music Transcription: Breaking the Glass Ceiling

    Emmanouil Benetos;Simon Dixon;Dimitrios Giannoulis;Holger Kirchhoff

  • SubSpectralNet – Using Sub-spectrogram Based Convolutional Neural Networks for Acoustic Scene Classification

    Unknown

  • Non-Negative Tensor Factorization Applied to Music Genre Classification

    E Benetos;C Kotropoulos

  • Joint Multi-Pitch Detection Using Harmonic Envelope Estimation for Polyphonic Music Transcription

    E. Benetos;S. Dixon

  • Polyphonic music transcription using note onset and offset detection

    Emmanouil Benetos;Simon Dixon

  • Computationally Efficient and Robust BIC-Based Speaker Segmentation

    M. Kotti;E. Benetos;C. Kotropoulos

  • Detection of overlapping acoustic events using a temporally-constrained probabilistic model

    Emmanouil Benetos;Gregoire Lafay;Mathieu Lagrange;Mark D. Plumbley

Frequent Co-Authors

Simon Dixon
Simon Dixon Queen Mary University of London
Constantine Kotropoulos
Constantine Kotropoulos Aristotle University of Thessaloniki
Mark D. Plumbley
Mark D. Plumbley King's College London
Tuomas Virtanen
Tuomas Virtanen Tampere University
Artur S. d'Avila Garcez
Artur S. d'Avila Garcez City, University of London
Annamaria Mesaros
Annamaria Mesaros Tampere University
Changhong Wang
Changhong Wang Eastern Institute of Technology, Ningbo
Tomi Kinnunen
Tomi Kinnunen University of Eastern Finland
Mark Sandler
Mark Sandler Google (United States)
Anssi Klapuri
Anssi Klapuri Yousician

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