World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7692
World Ranking
7251
National Ranking
3163

Katrin Kirchhoff 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 Katrin Kirchhoff 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: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Katrin Kirchhoff 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 Katrin Kirchhoff 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Katrin Kirchhoff is a researcher affiliated with Amazon in the United States, with a primary focus on computer science through various subfields including artificial intelligence and signal processing. Their scholarly work predominantly explores topics such as speech recognition and synthesis, natural language processing techniques, and topic modeling, contributing to advances in audio and dialogue systems and emotion recognition.

The main topics addressed in their research are:

  • Speech Recognition and Synthesis
  • Natural Language Processing Techniques
  • Topic Modeling
  • Music and Audio Processing
  • Speech and Audio Processing
  • Speech and dialogue systems
  • Emotion and Mood Recognition

Their publication record spans several notable venues, reflecting an active engagement with established conferences and journals in their field. Frequent publication venues include:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022
  • 2022 IEEE Spoken Language Technology Workshop (SLT)
  • IEEE Journal of Selected Topics in Signal Processing

Katrin Kirchhoff has coauthored many works alongside several prominent collaborators, highlighting a collaborative research approach. Frequent co-authors are:

  • Sravan Bodapati
  • Sundararajan Srinivasan
  • Saket Dingliwal
  • Srikanth Ronanki
  • Monica Sunkara

Recent papers by Katrin Kirchhoff include:

  • Self-Supervised Speech Representation Learning: A Review, 2022, IEEE Journal of Selected Topics in Signal Processing
  • Representation Learning Through Cross-Modal Conditional Teacher-Student Training For Speech Emotion Recognition, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Personalization of CTC Speech Recognition Models, 2023, 2022 IEEE Spoken Language Technology Workshop (SLT)
  • Listen, Know and Spell: Knowledge-Infused Subword Modeling for Improving ASR Performance of OOV Named Entities, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models, 2024, arXiv (Cornell University)

The research contributions by Kirchhoff cover a wide range of topics within computer science, emphasizing speech and audio processing techniques and multimodal machine learning applications.

Best Publications

  • Masked Language Model Scoring

    Julian Salazar;Davis Liang;Toan Q. Nguyen;Katrin Kirchhoff

  • Self-Supervised Speech Representation Learning: A Review

    Unknown

  • Factored language models and generalized parallel backoff

    Jeff A. Bilmes;Katrin Kirchhoff

  • Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    Lucy Vanderwende;Hal Daumé;Katrin Kirchhoff

  • Robust speech recognition using articulatory information

    Katrin Kirchhoff

  • Combining acoustic and articulatory feature information for robust speech recognition

    Katrin Kirchhoff;Gernot A Fink;Gerhard Sagerer

  • Multilingual Speech Processing

    Tanja Schultz;Katrin Kirchhoff

  • Error-correction detection and response generation in a spoken dialogue system

    Ivan Bulyko;Katrin Kirchhoff;Mari Ostendorf;J. Goldberg

  • Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins Summer Workshop

    K. Kirchhoff;J. Bilmes;S. Das;N. Duta

  • Deep Contextualized Acoustic Representations for Semi-Supervised Speech Recognition

    Shaoshi Ling;Yuzong Liu;Julian Salazar;Katrin Kirchhoff

  • Morphology-Based Language Modeling for Arabic Speech Recognition

    Dimitra Vergyri;Katrin Kirchhoff;Kevin Duh;Andreas Stolcke

  • Automatic diacritization of Arabic for acoustic modeling in speech recognition

    Dimitra Vergyri;Katrin Kirchhoff

  • Morphology-based language modeling for conversational Arabic speech recognition

    Katrin Kirchhoff;Dimitra Vergyri;Jeff A. Bilmes;Kevin Duh

  • Landmark-based speech recognition: report of the 2004 Johns Hopkins summer workshop

    M. Hasegawa-Johnson;J. Baker;S. Borys;K. Chen

  • Combining articulatory and acoustic information for speech recognition in noisy and reverberant environments

    Katrin Kirchhoff

  • Self-attention Networks for Connectionist Temporal Classification in Speech Recognition

    Julian Salazar;Katrin Kirchhoff;Zhiheng Huang

  • Learning to rank with partially-labeled data

    Kevin Duh;Katrin Kirchhoff

  • Factored Neural Language Models

    Andrei Alexandrescu;Katrin Kirchhoff

  • The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments

    Jeff A. Bilmes;Xiao Li;Jonathan Malkin;Kelley Kilanski

  • Recent innovations in speech-to-text transcription at SRI-ICSI-UW

    A. Stolcke;Barry Chen;H. Franco;Venkata Ramana Rao Gadde

  • SUBMODULAR SUBSET SELECTION FOR LARGE-SCALE SPEECH TRAINING DATA

    Kai Wei;Yuzong Liu;Katrin Kirchhoff;Chris D. Bartels

Frequent Co-Authors

Jeff A. Bilmes
Jeff A. Bilmes University of Washington
Kevin Duh
Kevin Duh Johns Hopkins University
Tanja Schultz
Tanja Schultz University of Bremen
Mari Ostendorf
Mari Ostendorf University of Washington
Gernot A. Fink
Gernot A. Fink TU Dortmund University
Howard Jay Chizeck
Howard Jay Chizeck University of Washington
James A. Landay
James A. Landay Stanford University
Richard Wright
Richard Wright Georgia State University
Nelson Morgan
Nelson Morgan International Computer Science Institute

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