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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
114
Citations
63174
World Ranking
191
National Ranking
11

Hermann Ney 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 Hermann Ney 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: 989 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.

Hermann Ney 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 Hermann Ney 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: 114 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

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2011 - IEEE Fellow For contributions to statistical language modeling, statistical machine translation, and large vocabulary speech recognition

Overview

Hermann Ney is affiliated with RWTH Aachen University in Germany and has made significant contributions in the field of computer science, particularly focusing on artificial intelligence and signal processing. Their research encompasses a wide range of specialized topics including speech recognition and synthesis, natural language processing techniques, and topic modeling.

Their work covers domains such as speech and audio processing, music and audio processing, speech and dialogue systems, and multimodal machine learning applications. This diverse set of research interests is reflected in numerous publications, primarily appearing in venues like arXiv (Cornell University) and ICASSP 2022, the IEEE International Conference on Acoustics, Speech and Signal Processing.

Some recent notable papers by Hermann Ney include:

  • Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog, 2021, arXiv (Cornell University)
  • Conformer-Based Hybrid ASR System For Switchboard Dataset, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Why does CTC result in peaky behavior?, 2021, arXiv (Cornell University)
  • On Language Model Integration for RNN Transducer Based Speech Recognition, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change, 2024, arXiv (Cornell University)

Hermann Ney has collaborated frequently with several researchers, highlighting teamwork and interdisciplinary research. Frequent co-authors include:

  • Ralf Schlüter (55 joint publications)
  • Wei Zhou (20 joint publications)
  • Mohammad Zeineldeen (17 joint publications)
  • Wilfried Michel (13 joint publications)
  • Christoph Lüscher (11 joint publications)

Their works have been published extensively in venues such as:

  • arXiv (Cornell University) with 64 publications
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) with 4 publications
  • Interspeech 2022 with 4 publications
  • RWTH Publications (RWTH Aachen) with 3 publications
  • 2022 IEEE Spoken Language Technology Workshop (SLT) with 2 publications

In 2011, Hermann Ney was named an IEEE Fellow for contributions to statistical language modeling, statistical machine translation, and large vocabulary speech recognition, indicating recognition by peers in the field.

Best Publications

  • A systematic comparison of various statistical alignment models

    Franz Josef Och;Hermann Ney

  • LSTM Neural Networks for Language Modeling.

    Martin Sundermeyer;Ralf Schlüter;Hermann Ney

  • Improved backing-off for M-gram language modeling

    R. Kneser;H. Ney

  • Discriminative Training and Maximum Entropy Models for Statistical Machine Translation

    Franz Josef Och;Hermann Ney

  • Improved statistical alignment models

    Franz Josef Och;Hermann Ney

  • The Alignment Template Approach to Statistical Machine Translation

    Franz Josef Och;Hermann Ney

  • HMM-based word alignment in statistical translation

    Stephan Vogel;Hermann Ney;Christoph Tillmann

  • On structuring probabilistic dependences in stochastic language modelling

    Hermann Ney;Ute Essen;Reinhard Kneser

  • Improved Alignment Models for Statistical Machine Translation

    Franz Josef Och;Christoph Tillmann;Hermann Ney

  • Joint-sequence models for grapheme-to-phoneme conversion

    Maximilian Bisani;Hermann Ney

  • Features for image retrieval: an experimental comparison

    Thomas Deselaers;Daniel Keysers;Hermann Ney

  • Confidence measures for large vocabulary continuous speech recognition

    F. Wessel;R. Schluter;K. Macherey;H. Ney

  • Neural Sign Language Translation

    Necati Cihan Camgoz;Simon Hadfield;Oscar Koller;Hermann Ney

  • A word graph algorithm for large vocabulary continuous speech recognition

    Stefan Ortmanns;Hermann Ney;Xavier L. Aubert

  • From feedforward to recurrent LSTM neural networks for language modeling

    Martin Sundermeyer;Hermann Ney;Ralf Schlüter

  • The use of a one-stage dynamic programming algorithm for connected word recognition

    H. Ney

  • Linear discriminant analysis for improved large vocabulary continuous speech recognition

    R. Haeb-Umbach;H. Ney

  • The 2005 PASCAL visual object classes challenge

    Mark Everingham;Andrew Zisserman;Christopher K. I. Williams;Luc Van Gool

  • Continuous Sign Language Recognition: Towards Large Vocabulary Statistical Recognition Systems Handling Multiple Signers

    Oscar Koller;Jens Forster;Hermann Ney

  • Phrase-Based Statistical Machine Translation

    Richard Zens;Franz Josef Och;Hermann Ney

  • A word graph algorithm for large vocabulary, continuous speech recognition.

    Hermann Ney;Xavier L. Aubert

Frequent Co-Authors

Ralf Schlüter
Ralf Schlüter RWTH Aachen University
Daniel Keysers
Daniel Keysers Google (United States)
Thomas Deselaers
Thomas Deselaers Apple (United States)
Georg Heigold
Georg Heigold German Research Centre for Artificial Intelligence
Franz Josef Och
Franz Josef Och Google (United States)
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Enrique Vidal
Enrique Vidal Universitat Politècnica de València
Stephan Vogel
Stephan Vogel University of Graz
Alex Waibel
Alex Waibel Carnegie Mellon University
Francisco Casacuberta
Francisco Casacuberta Universitat Politècnica de València

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