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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
43918
World Ranking
1914
National Ranking
74

Hinrich Schütze 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 Hinrich Schütze 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: 436 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Hinrich Schütze 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 Hinrich Schütze 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: 69 D-Index — 87th percentile

87% 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
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Hinrich Schütze is affiliated with Ludwig-Maximilians-Universität München in Germany, with a research focus concentrated in the field of Computer Science. Their work extensively covers several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Language and Linguistics, and Communication.

The primary topics addressed in their scholarly output encompass Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Text Readability and Simplification, Speech and Dialogue Systems, Hate Speech and Cyberbullying Detection, and Domain Adaptation and Few-Shot Learning.

Recent publications illustrate a range of research interests across multiple venues. These include:

  • Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP (2021), Transactions of the Association for Computational Linguistics
  • Measuring and Improving Consistency in Pretrained Language Models (2021), Transactions of the Association for Computational Linguistics
  • Position Information in Transformers: An Overview (2022), Computational Linguistics
  • SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings (2020), Open access LMU (Ludwid Maxmilian's Universitat Munchen)
  • Few-Shot Text Generation with Natural Language Instructions (2021), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

The frequency of publications shows a preference for several venues, registering numerous contributions in:

  • arXiv (Cornell University)
  • Open access LMU (Ludwid Maxmilian's Universitat Munchen)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Zenodo (CERN European Organization for Nuclear Research)

Hinrich Schütze has collaborated regularly with researchers such as Yihong Liu, Philipp Dufter, Leonie Weissweiler, Abdullatif Köksal, and François Yvon, indicating an extensive network of co-authorship within the domain.

Best Publications

  • Introduction to Information Retrieval

    Christopher D. Manning;Prabhakar Raghavan;Hinrich Schütze

  • Automatic word sense discrimination

    Hinrich Schütze

  • Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference

    Timo Schick;Hinrich Schütze

  • ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

    Wenpeng Yin;Hinrich Schütze;Bing Xiang;Bowen Zhou

  • Comparative Study of CNN and RNN for Natural Language Processing

    Wenpeng Yin;Katharina Kann;Mo Yu;Hinrich Schütze

  • Dimensions of meaning

    H. Schutze

  • A comparison of classifiers and document representations for the routing problem

    Hinrich Schütze;David A. Hull;Jan O. Pedersen

  • It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

    Timo Schick;Hinrich Schütze

  • Automatic Detection of Text Genre

    Brett Kessler;Geoffrey Nunberg;Hinrich Schutze

  • A cooccurrence-based thesaurus and two applications to information retrieval

    Hinrich Schütze;Jan O. Pedersen

  • Word Space

    Hinrich Schütze

  • Projections for efficient document clustering

    Hinrich Schütze;Craig Silverstein

  • Distributional part-of-speech tagging

    Hinrich Schütze

  • PART-OF-SPEECH INDUCTION FROM SCRATCH

    Hinrich Schutze

  • AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes

    Sascha Rothe;Hinrich Schütze

  • Creating an online dictionary of abbreviations from MEDLINE.

    Jeffrey T. Chang;Hinrich Schütze;Russ B. Altman

  • Introduction to Information Retrieval: Scoring, term weighting, and the vector space model

    Christopher D. Manning;Prabhakar Raghavan;Hinrich Schütze

  • Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly

    Nora Kassner;Hinrich Schütze

  • Convolutional Neural Network for Paraphrase Identification

    Wenpeng Yin;Hinrich Schütze

  • Measuring and Improving Consistency in Pretrained Language Models

    Yanai Elazar;Yanai Elazar;Nora Kassner;Shauli Ravfogel;Shauli Ravfogel;Abhilasha Ravichander

  • Foundations of statistical natural language processing

    Gerhard Weikum

Frequent Co-Authors

Wenpeng Yin
Wenpeng Yin Pennsylvania State University
Christopher D. Manning
Christopher D. Manning Stanford University
Prabhakar Raghavan
Prabhakar Raghavan Google (United States)
Ryan Cotterell
Ryan Cotterell ETH Zurich
Janet B. Pierrehumbert
Janet B. Pierrehumbert University of Oxford
Jan O. Pedersen
Jan O. Pedersen Microsoft (United States)
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Benno Stein
Benno Stein Bauhaus University, Weimar
Russ B. Altman
Russ B. Altman Stanford University

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