World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
18294
World Ranking
4207
National Ranking
184

Florian Eyben 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 Florian Eyben 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: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Florian Eyben 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 Florian Eyben 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.

Overview

Florian Eyben is affiliated with the Technical University of Munich in Germany. Their academic work largely intersects with Computer Science, with a specific focus on Artificial Intelligence, General Health Professions, Signal Processing, Experimental and Cognitive Psychology, and Physiology.

Their research outputs span several main topics including:

  • Speech Recognition and Synthesis
  • Voice and Speech Disorders
  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Music and Audio Processing
  • Emotion and Mood Recognition
  • Hermeneutics and Narrative Identity

Florian Eyben has published extensively in various venues, with a notable number of publications appearing in:

  • arXiv (Cornell University)
  • Frontiers in Digital Health
  • Interspeech 2022
  • Frontiers in Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent publications reflect contributions to speech emotion recognition, voice analysis for neurological disorders, and linguistic conditioning in speech processing. Selected papers include:

  • "Voice Analysis for Neurological Disorder Recognition-A Systematic Review and Perspective on Emerging Trends," 2022, Frontiers in Digital Health
  • "Probing speech emotion recognition transformers for linguistic knowledge," 2022, Interspeech 2022
  • "Multistage linguistic conditioning of convolutional layers for speech emotion recognition," 2023, Frontiers in Computer Science
  • "Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Multistage linguistic conditioning of convolutional layers for speech emotion recognition," 2021, arXiv (Cornell University)

Florian Eyben frequently collaborates with other researchers in the field. Their main frequent co-authors include:

  • Björn W. Schuller
  • Felix Burkhardt
  • Hagen Wierstorf
  • Andreas Triantafyllopoulos
  • Uwe D. Reichel

The profile of Florian Eyben illustrates a focused engagement with technology-driven approaches to understanding and processing speech, emotion, and health-related voice analysis, supporting interdisciplinary advances in artificial intelligence and health professions through computational methods.

Best Publications

  • Opensmile: the munich versatile and fast open-source audio feature extractor

    Florian Eyben;Martin Wöllmer;Björn Schuller

  • The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

    Florian Eyben;Klaus R. Scherer;Bjorn W. Schuller;Johan Sundberg

  • Recent developments in openSMILE, the munich open-source multimedia feature extractor

    Florian Eyben;Felix Weninger;Florian Gross;Björn Schuller

  • The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Alessandro Vinciarelli

  • AVEC 2013: the continuous audio/visual emotion and depression recognition challenge

    Michel Valstar;Björn Schuller;Kirsty Smith;Florian Eyben

  • OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

    Florian Eyben;Martin Wollmer;Bjorn Schuller

  • AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge

    Michel Valstar;Björn Schuller;Kirsty Smith;Timur Almaev

  • Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

    B Schuller;B Vlasenko;F Eyben;Martin Wöllmer

  • Abandoning Emotion Classes - Towards Continuous Emotion Recognition with Modelling of Long-Range Dependencies

    Martin Wöllmer;Florian Eyben;Stephan Reiter;Björn W. Schuller

  • AVEC 2011-the first international audio/visual emotion challenge

    Björn Schuller;Michel Valstar;Florian Eyben;Gary McKeown

  • Acoustic emotion recognition: A benchmark comparison of performances

    Bjorn Schuller;Bogdan Vlasenko;Florian Eyben;Gerhard Rigoll

  • AVEC 2012: the continuous audio/visual emotion challenge

    Björn Schuller;Michel Valster;Florian Eyben;Roddy Cowie

  • On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common

    Felix Weninger;Florian Eyben;Björn W. Schuller;Björn W. Schuller;Marcello Mortillaro

  • LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework

    Martin WöLlmer;Moritz Kaiser;Florian Eyben;BjöRn Schuller

  • Deep neural networks for acoustic emotion recognition: Raising the benchmarks

    Andre Stuhlsatz;Christine Meyer;Florian Eyben;Thomas Zielke

  • The INTERSPEECH 2012 Speaker Trait Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Elmar Nöth

  • Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition

    Jun Deng;Zixing Zhang;Florian Eyben;Bjorn Schuller

  • A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks

    Erik Marchi;Fabio Vesperini;Florian Eyben;Stefano Squartini

  • Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies

    Florian Eyben;Felix Weninger;Stefano Squartini;Bjorn Schuller

  • Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data

    Fabien Ringeval;Florian Eyben;Eleni Kroupi;Anil Yuce

  • Building Autonomous Sensitive Artificial Listeners

    M. Schroder;E. Bevacqua;R. Cowie;F. Eyben

Frequent Co-Authors

Björn Schuller
Björn Schuller Imperial College London
Martin Wöllmer
Martin Wöllmer Technical University of Munich
Gerhard Rigoll
Gerhard Rigoll Technical University of Munich
Felix Weninger
Felix Weninger Nuance Communications (United States)
Anton Batliner
Anton Batliner University of Erlangen-Nuremberg
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Maja Pantic
Maja Pantic Imperial College London
Roddy Cowie
Roddy Cowie Queen's University Belfast
Michel Valstar
Michel Valstar University of Nottingham
Klaus R. Scherer
Klaus R. Scherer University of Geneva

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