World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4030
World Ranking
13674
National Ranking
660

Jan Niehues 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 Jan Niehues 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: 198 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Jan Niehues 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 Jan Niehues 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Jan Niehues is affiliated with the Karlsruhe Institute of Technology in Germany, focusing on research predominantly in the field of computer science with a particular emphasis on artificial intelligence. Their scholarly output spans over 110 publications within this main domain.

The research subfields where Jan Niehues has made contributions include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • General Health Professions
  • Experimental and Cognitive Psychology

Key topics explored in their work cover:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech Recognition and Synthesis
  • Speech and dialogue systems
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications
  • Speech and Audio Processing

Jan Niehues has collaborated frequently with several coauthors, among them:

  • Danni Liu
  • Tu Anh Dinh
  • Alexander Waibel
  • Sai Koneru
  • Ngoc-Quan Pham

Their recent notable papers include:

  • "Incremental learning of humanoid robot behavior from natural interaction and large language models", 2024, Frontiers in Robotics and AI
  • "Joint modelling of audio-visual cues using attention mechanisms for emotion recognition", 2022, Multimedia Tools and Applications
  • "Adaptive multilingual speech recognition with pretrained models", 2022, Interspeech 2022
  • "Improving Zero-Shot Translation by Disentangling Positional Information", 2021, Repository KITopen (Karlsruhe Institute of Technology)
  • "Low Latency ASR for Simultaneous Speech Translation", 2020, arXiv (Cornell University)

The venues where Jan Niehues has frequently published comprise:

  • arXiv (Cornell University)
  • Repository KITopen (Karlsruhe Institute of Technology)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Frontiers in Robotics and AI
  • Multimedia Tools and Applications

Best Publications

  • Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder

    Thanh-Le Ha;Jan Niehues;Alexander H. Waibel

  • Report on the 11th IWSLT Evaluation Campaign, IWSLT 2014

    Mauro Cettolo;J. Niehues;S. Stüker;Luisa Bentivogli

  • Very Deep Self-Attention Networks for End-to-End Speech Recognition.

    Ngoc-Quan Pham;Thai-Son Nguyen;Jan Niehues;Markus Müller

  • The IWSLT 2015 Evaluation Campaign

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Report on the 11th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • Self-Attentional Acoustic Models

    Matthias Sperber;Jan Niehues;Graham Neubig;Sebastian Stüker

  • Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning

    Jan Niehues;Eunah Cho

  • Overview of the IWSLT 2017 Evaluation Campaign

    Mauro Cettolo;Marcello Federico;Luisa Bentivogli;Niehues Jan

  • FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

    Ebrahim Ansari;Amittai Axelrod;Nguyen Bach;Ondrej Bojar

  • Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation

    Matthias Sperber;Graham Neubig;Jan Niehues;Alex Waibel;Alex Waibel

  • The IWSLT 2018 Evaluation Campaign

    Niehues Jan;Roldano Cattoni;Stüker Sebastian;Mauro Cettolo

  • Report on the 10th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • The IWSLT 2019 Evaluation Campaign

    J. Niehues;R. Cattoni;S. Stüker;M. Negri

  • Improving Sequence-To-Sequence Speech Recognition Training with On-The-Fly Data Augmentation

    Thai-Son Nguyen;Sebastian Stuker;Jan Niehues;Alex Waibel

  • Pre-Translation for Neural Machine Translation.

    Jan Niehues;Eunah Cho;Thanh-Le Ha;Alex Waibel

  • A POS-Based Model for Long-Range Reorderings in SMT

    Jan Niehues;Muntsin Kolss

  • Wider Context by Using Bilingual Language Models in Machine Translation

    Jan Niehues;Teresa Herrmann;Stephan Vogel;Alex Waibel

  • FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

    Unknown

  • Neural Lattice-to-Sequence Models for Uncertain Inputs

    Matthias Sperber;Graham Neubig;Jan Niehues;Alex Waibel

  • Very Deep Self-Attention Networks for End-to-End Speech Recognition

    Ngoc-Quan Pham;Thai-Son Nguyen;Jan Niehues;Markus Müller

  • Discriminative Word Alignment via Alignment Matrix Modeling

    Jan Niehues;Stephan Vogel

  • Segmentation and punctuation prediction in speech language translation using a monolingual translation system.

    Eunah Cho;Jan Niehues;Alex Waibel

  • FINDINGS OF THE IWSLT 2021 EVALUATION CAMPAIGN

    Antonios Anastasopoulos;Ondrej Bojar;Jacob Bremerman;Roldano Cattoni

  • Low-latency neural speech translation

    Jan Niehues;Ngoc-Quan Pham;Thanh-Le Ha;Matthias Sperber

  • Pre-Translation for Neural Machine Translation

    Jan Niehues;Eunah Cho;Thanh-Le Ha;Alex Waibel

Frequent Co-Authors

Alex Waibel
Alex Waibel Carnegie Mellon University
Marcello Federico
Marcello Federico Amazon (United States)
Graham Neubig
Graham Neubig Carnegie Mellon University
Hermann Ney
Hermann Ney RWTH Aachen University
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler
Stephan Vogel
Stephan Vogel University of Graz
Marco Turchi
Marco Turchi Fondazione Bruno Kessler
Ondrej Bojar
Ondrej Bojar Charles University
Lucia Specia
Lucia Specia Imperial College London

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