World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8599
World Ranking
8723
National Ranking
3733

Felix Weninger 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 Felix Weninger 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 123 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Felix Weninger 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 Felix Weninger sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Felix Weninger is affiliated with Nuance Communications in the United States, specializing in research primarily within the field of computer science. Their work focuses on several subfields including signal processing, artificial intelligence, oceanography, computer vision and pattern recognition, and mechanics of materials.

The scientist's research covers a range of topics related to speech and audio technologies. Key areas include speech and audio processing, speech recognition and synthesis, blind source separation techniques, music and audio processing, underwater acoustics research, ultrasonics and acoustic wave propagation, and machine learning and ELM.

Weninger has contributed to multiple scientific publications, with several papers published in notable venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
  • Interspeech 2022

Among the recent papers authored by Weninger are:

  • Conformer with dual-mode chunked attention for joint online and offline ASR, 2022, Interspeech 2022
  • Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition, 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
  • Semi-Supervised Learning with Data Augmentation for End-to-End ASR, 2020, arXiv (Cornell University)
  • Conformer with dual-mode chunked attention for joint online and offline ASR, 2022, arXiv (Cornell University)

Frequent collaborators in Weninger's work include Puming Zhan, Marco Gaudesi, Jesús Andrés-Ferrer, Roberto Gemello, and Md Akmal Haidar.

The scientist's publication record indicates a substantial focus on signal processing and artificial intelligence within the broader computer science discipline. Their engagement with both theoretical and applied aspects of speech and audio processing demonstrates integration of multiple specialized fields.

Best Publications

  • 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

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

    Felix Weninger;Hakan Erdogan;Shinji Watanabe;Emmanuel Vincent

  • YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context

    M. Wollmer;F. Weninger;T. Knaup;B. Schuller

  • Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

    John R. Hershey;Jonathan Le Roux;Felix Weninger

  • 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

  • Discriminatively trained recurrent neural networks for single-channel speech separation

    Felix Weninger;John R. Hershey;Jonathan Le Roux;Bjorn Schuller

  • The INTERSPEECH 2012 Speaker Trait Challenge

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

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

    Florian Eyben;Felix Weninger;Stefano Squartini;Bjorn Schuller

  • Introducing CURRENNT: the Munich open-source CUDA recurrent neural network toolkit

    Felix Weninger;Johannes Bergmann;Björn Schuller

  • The INTERSPEECH 2015 Computational Paralinguistics Challenge: Nativeness, Parkinson's & Eating Condition

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Simone Hantke

  • Deep NMF for speech separation

    Jonathan Le Roux;John R. Hershey;Felix Weninger

  • Single-channel speech separation with memory-enhanced recurrent neural networks

    Felix Weninger;Florian Eyben;Björn W. Schuller

  • Unsupervised learning in cross-corpus acoustic emotion recognition

    Zixing Zhang;Felix Weninger;Martin Wollmer;Bjorn Schuller

  • Discriminative NMF and its application to single-channel source separation

    Felix Weninger;Jonathan Le Roux;John R. Hershey;Shinji Watanabe

  • YouTube Movie Reviews: In, Cross, and Open-domain Sentiment Analysis in an Audiovisual Context

    M. Wöllmer;F. Weninger;T. Knaup;B. Schuller

  • Deep Recurrent De-Noising Auto-Encoder and blind de-reverberation for reverberated speech recognition

    Felix Weninger;Shinji Watanabe;Yuuki Tachioka;Björn W. Schuller

  • Robust Speech Recognition using Long Short-Term Memory Recurrent Neural Networks for Hybrid Acoustic Modelling

    Jürgen T. Geiger;Zixing Zhang;Felix Weninger;Björn W. Schuller

  • Using Multiple Databases for Training in Emotion Recognition: To Unite or to Vote?

    Björn W. Schuller;Zixing Zhang;Felix Weninger;Gerhard Rigoll

  • A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge

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

  • Real-Time speech separation by semi-supervised nonnegative matrix factorization

    Cyril Joder;Felix Weninger;Florian Eyben;David Virette

  • Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection

    Erik Marchi;Fabio Vesperini;Felix Weninger;Florian Eyben

Frequent Co-Authors

Björn Schuller
Björn Schuller Imperial College London
Martin Wöllmer
Martin Wöllmer Technical University of Munich
Florian Eyben
Florian Eyben Technical University of Munich
Gerhard Rigoll
Gerhard Rigoll Technical University of Munich
Anton Batliner
Anton Batliner University of Erlangen-Nuremberg
John R. Hershey
John R. Hershey Google (United States)
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Jonathan Le Roux
Jonathan Le Roux Mitsubishi Electric (United States)

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