World's Best Scientists 2026 revealed!
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Computer Science
UK
2026

D-Index & Metrics

Computer Science

D-Index
111
Citations
60643
World Ranking
214
National Ranking
7

Björn Schuller 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 Björn Schuller 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: 1,076 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Björn Schuller 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 Björn Schuller 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: 111 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2018 - IEEE Fellow For contributions to computer audition
  • 2017 - ACM Senior Member

Overview

Björn Schuller is affiliated with Imperial College London in the United Kingdom. Their research primarily lies within the field of Computer Science, with a strong focus on several subfields including Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, and Radiology, Nuclear Medicine and Imaging.

The scientist's work spans multiple topics in audio and speech technology, emotion recognition, and healthcare applications. Key research topics include:

  • Music and Audio Processing
  • Speech and Audio Processing
  • Emotion and Mood Recognition
  • Speech Recognition and Synthesis
  • COVID-19 diagnosis using AI
  • Sentiment Analysis and Opinion Mining
  • Phonocardiography and Auscultation Techniques

Recent publications highlight ongoing research contributions in areas related to digital healthcare and affective computing. Selected papers include:

  • The promise of digital healthcare technologies, 2023, Frontiers in Public Health
  • Affective Image Content Analysis: Two Decades Review and New Perspectives, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT, 2023, IEEE Intelligent Systems
  • Sentiment Analysis and Topic Recognition in Video Transcriptions, 2021, IEEE Intelligent Systems
  • Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring, 2021, IEEE Signal Processing Magazine

In terms of collaborative work, Björn Schuller frequently coauthors with a number of researchers including Andreas Triantafyllopoulos, Shahin Amiriparian, Alice Baird, Kun Qian, and Lukas Stappen.

The scientist publishes extensively, with significant numbers of papers appearing in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Affective Computing
  • Frontiers in Digital Health
  • 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Björn Schuller has also authored books, including the publication "Human-Centred Computer Audition: Sound, Music, and Healthcare" in 2023, published by Frontiers Media.

Their career includes recognition in the form of awards such as:

  • IEEE Fellow, 2018, for contributions to computer audition
  • ACM Senior Member, 2017

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

  • New Avenues in Opinion Mining and Sentiment Analysis

    E. Cambria;B. Schuller;Yunqing Xia;C. Havasi

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

    Florian Eyben;Felix Weninger;Florian Gross;Björn Schuller

  • The INTERSPEECH 2009 Emotion Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner

  • Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

    George Trigeorgis;Fabien Ringeval;Raymond Brueckner;Erik Marchi

  • Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge

    Björn Schuller;Anton Batliner;Stefan Steidl;Dino Seppi

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

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

  • Hidden Markov model-based speech emotion recognition

    B. Schuller;G. Rigoll;M. Lang

  • End-to-End Multimodal Emotion Recognition Using Deep Neural Networks

    Panagiotis Tzirakis;George Trigeorgis;Mihalis A. Nicolaou;Bjorn W. Schuller

  • The INTERSPEECH 2010 Paralinguistic Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Felix Burkhardt

  • AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

    Michel Valstar;Jonathan Gratch;Björn Schuller;Fabien Ringeval

  • Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR

    Felix Weninger;Hakan Erdogan;Shinji Watanabe;Emmanuel Vincent

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

    Michel Valstar;Björn Schuller;Kirsty Smith;Florian Eyben

  • A survey of multimodal sentiment analysis

    Mohammad Soleymani;David García;Brendan Jou;Björn W. Schuller;Björn W. Schuller;Björn W. Schuller

  • Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture

    B. Schuller;G. Rigoll;M. Lang

  • Introduction

    Unknown

  • Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends

    Björn W. Schuller

  • 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

  • Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

    Dimitrios Kollias;Panagiotis Tzirakis;Mihalis A. Nicolaou;Athanasios Papaioannou

Frequent Co-Authors

Florian Eyben
Florian Eyben 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
Nicholas Cummins
Nicholas Cummins King's College London
Martin Wöllmer
Martin Wöllmer Technical University of Munich
Fabien Ringeval
Fabien Ringeval Grenoble Alpes University
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Maja Pantic
Maja Pantic Imperial College London
Roddy Cowie
Roddy Cowie Queen's University Belfast

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