World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
10261
World Ranking
4622
National Ranking
2149

Florian Metze 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 Metze 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: 300 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Florian Metze 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 Metze 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Florian Metze is affiliated with Carnegie Mellon University in the United States and specializes in computer science with a focus on artificial intelligence, computer vision and pattern recognition, and signal processing. Their publication record includes 125 works predominantly in these fields, reflecting a comprehensive engagement with areas such as speech recognition and synthesis, music and audio processing, and natural language processing techniques.

Their research covers multiple main topics including:

  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and Audio Processing
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning

Florian Metze has contributed to various frequent publication venues, showcasing a range of interdisciplinary approaches. These venues include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Recent notable papers include:

  • "VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "How2Sign: A large-scale multimodal dataset for continuous American sign language," 2021, UPCommons (Polytechnic University of Catalonia)
  • "Masked Autoencoders that Listen," 2022, arXiv (Cornell University)
  • "Self-supervised object detection from audio-visual correspondence," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Support-set bottlenecks for video-text representation learning," 2020, arXiv (Cornell University)

Frequent co-authors who have collaborated with Florian Metze include:

  • Alan W. Black
  • Shinji Watanabe
  • Xinjian Li
  • Siddharth Dalmia
  • Po-Yao Huang

Best Publications

  • EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding

    Yajie Miao;Mohammad Gowayyed;Florian Metze

  • VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

    Hu Xu;Gargi Ghosh;Po-Yao Huang;Dmytro Okhonko

  • Extracting deep bottleneck features using stacked auto-encoders

    Jonas Gehring;Yajie Miao;Florian Metze;Alex Waibel

  • A one-pass decoder based on polymorphic linguistic context assignment

    H. Soltau;F. Metze;C. Fugen;A. Waibel

  • Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval

    Niluthpol Chowdhury Mithun;Juncheng Li;Florian Metze;Amit K. Roy-Chowdhury

  • Masked Autoencoders that Listen

    Unknown

  • How2: A Large-scale Dataset for Multimodal Language Understanding

    Ramon Sanabria;Ozan Caglayan;Shruti Palaskar;Desmond Elliott

  • Comparison of Four Approaches to Age and Gender Recognition for Telephone Applications

    F. Metze;J. Ajmera;R. Englert;U. Bub

  • Advances in automatic meeting record creation and access

    A. Waibel;M. Bett;F. Metze;K. Ries

  • A Comparison of Five Multiple Instance Learning Pooling Functions for Sound Event Detection with Weak Labeling

    Yun Wang;Juncheng Li;Florian Metze

  • How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

    Amanda Duarte;Shruti Palaskar;Lucas Ventura;Deepti Ghadiyaram

  • A comparison of Deep Learning methods for environmental sound detection

    Juncheng Li;Wei Dai;Florian Metze;Shuhui Qu

  • Session independent non-audible speech recognition using surface electromyography

    L. Maier-Hein;F. Metze;T. Schultz;A. Waibel

  • A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition

    Aren Jansen;Emmanuel Dupoux;Sharon Goldwater;Mark Johnson

  • Support-set bottlenecks for video-text representation learning

    Mandela Patrick;Po-Yao Huang;Yuki Asano;Florian Metze

  • Deep maxout networks for low-resource speech recognition

    Yajie Miao;Florian Metze;Shourabh Rawat

  • Speaker adaptive training of deep neural network acoustic models using i-vectors

    Yajie Miao;Hao Zhang;Florian Metze

  • Anger recognition in speech using acoustic and linguistic cues

    Tim Polzehl;Alexander Schmitt;Florian Metze;Michael Wagner

  • A flexible stream architecture for ASR using articulatory features.

    Florian Metze;Alex Waibel

  • VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding

    Hu Xu;Gargi Ghosh;Po-Yao Huang;Prahal Arora

  • A Comparison of deep learning methods for environmental sound.

    Juncheng Li;Wei Dai;Florian Metze;Shuhui Qu

  • How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

    Amanda Duarte;Shruti Palaskar;Deepti Ghadiyaram;Kenneth DeHaan

Frequent Co-Authors

Alex Waibel
Alex Waibel Carnegie Mellon University
Alan W. Black
Alan W. Black Carnegie Mellon University
Tanja Schultz
Tanja Schultz University of Bremen
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University
Hagen Soltau
Hagen Soltau Google (United States)
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Sebastian Möller
Sebastian Möller Technical University of Berlin
Xavier Anguera
Xavier Anguera ELSA Speak
Bhiksha Raj
Bhiksha Raj Carnegie Mellon University
Graham Neubig
Graham Neubig Carnegie Mellon University

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