World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5440
World Ranking
9868
National Ranking
179

Gertjan van Noord 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 Gertjan van Noord 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: 124 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Gertjan van Noord 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 Gertjan van Noord 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Gertjan van Noord is affiliated with the University of Groningen in the Netherlands. Their research primarily spans the field of Computer Science with a specialized focus on Artificial Intelligence and, to a lesser extent, Computer Vision and Pattern Recognition.

Their work covers several main topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis
  • Domain Adaptation and Few-Shot Learning
  • Handwritten Text Recognition Techniques

Gertjan van Noord's recent publications demonstrate involvement in diverse areas of natural language processing and machine translation. Key papers include:

  • "UDapter: Typology-based Language Adapters for Multilingual Dependency Parsing and Sequence Labeling," 2022, Computational Linguistics
  • "Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation," 2024, Transactions of the Association for Computational Linguistics
  • "Unsupervised Translation of German--Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language," 2021, arXiv (Cornell University)
  • "Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer," 2022, arXiv (Cornell University)
  • "Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation," 2023, arXiv (Cornell University)

Their frequent publication venues reveal a strong presence in both journal and preprint repositories:

  • arXiv (Cornell University)
  • Computational Linguistics
  • Transactions of the Association for Computational Linguistics
  • Tabu.

Collaboration is a notable aspect of their research, with several frequent co-authors contributing across multiple works. These include:

  • Lukas Edman
  • Antonio Toral
  • Arianna Bisazza
  • Ahmet Üstün
  • Gosse Bouma

Across their research output, Gertjan van Noord emphasizes multilingual processing, transfer learning methods, and language adaptability. Their publications often address challenges in low-resource languages and character-level processing techniques, contributing to contemporary advancements in natural language understanding and generation.

Best Publications

  • Universal Dependencies 2.2

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • Semantic-head-driven generation

    Stuart M. Shieber;Gertjan van Noord;Fernando C. N. Pereira;Robert C. Moore

  • BERTje : A Dutch BERT Model

    Wietse de Vries;Andreas van Cranenburgh;Arianna Bisazza;Tommaso Caselli

  • At Last Parsing Is Now Operational

    Gertjan van Noord

  • Universal Dependencies 2.1

    Joakim Nivre;Željko Agić;Lars Ahrenberg;Lene Antonsen

  • Universal Dependencies 2.0

    Joakim Nivre;Željko Agić;Lars Ahrenberg;Maria Jesus Aranzabe

  • Universal Dependencies 2.3

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • Adjuncts and the processing of lexical rules

    Gertjan van Noord;Gosse Bouma

  • Large Scale Syntactic Annotation of written Dutch (LASSY)

    Gertjan van Noord;Gosse Bouma;Frank Van Eynde;Daniël de Kok

  • Finite State Transducers with Predicates and Identities

    Gertjan van Noord;Dale Gerdemann

  • Robust grammatical analysis for spoken dialogue systems

    Gertjan Van Noord;Gosse Bouma;Rob Koeling;Mark-Jan Nederhof

  • An Extendible Regular Expression Compiler for Finite-State Approaches in Natural Language Processing

    Gertjan Van Noord;Dale Gerdemann

  • Approximation and Exactness in Finite State Optimality Theory

    Dale Gerdemann;Gertjan van Noord

  • A Semantic-Head-Driven Generation Algorithm for Unification-Based Formalisms

    Stuart M. Shieber;Gertjan van Noord;Robert C. Moore;Fernando C. N. Pereira

  • An efficient implementation of the head-corner parser

    Gertjan van Noord

  • UDapter: Language Adaptation for Truly Universal Dependency Parsing

    Ahmet Üstün;Arianna Bisazza;Gosse Bouma;Gertjan van Noord

  • Error Mining for Wide-Coverage Grammar Engineering

    Gertjan van Noord

  • Effective Measures of Domain Similarity for Parsing

    Barbara Plank;Gertjan van Noord

  • Squib: Reproducibility in Computational Linguistics: Are We Willing to Share?

    Unknown

  • Reversibility in Natural Language Processing

    Gertjan M. van Noord

  • Universal Dependencies 2.6

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

Frequent Co-Authors

Gosse Bouma
Gosse Bouma University of Groningen
Barbara Plank
Barbara Plank Ludwig-Maximilians-Universität München
Jan Hajič
Jan Hajič Charles University
Sampo Pyysalo
Sampo Pyysalo University of Turku
Samuel R. Bowman
Samuel R. Bowman New York University
Filip Ginter
Filip Ginter University of Turku
Christopher D. Manning
Christopher D. Manning Stanford University
Slav Petrov
Slav Petrov Google (United States)
Joakim Nivre
Joakim Nivre Uppsala University

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