World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8434
World Ranking
5686
National Ranking
37

Jörg Tiedemann 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 Jörg Tiedemann 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Jörg Tiedemann 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 Jörg Tiedemann 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Jörg Tiedemann is affiliated with the University of Helsinki in Finland and has contributed extensively to the field of computer science, particularly within artificial intelligence. Their research has a strong focus on natural language processing techniques and related subfields.

Tiedemann's main areas of work include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Semantic Web and Ontologies
  • Sentiment Analysis and Opinion Mining
  • Speech and Dialogue Systems

Their publications have appeared predominantly in venues such as:

  • arXiv (Cornell University)
  • Helda (University of Helsinki)
  • Machine Translation
  • Language Resources and Evaluation
  • The Journal of Specialised Translation

Samples of recent papers by Jörg Tiedemann include:

  • Democratizing neural machine translation with OPUS-MT, 2023, Language Resources and Evaluation
  • The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT, 2020, arXiv (Cornell University)
  • Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets, 2021, arXiv (Cornell University)

Other relevant papers related to their general research environment include:

  • Multimodal machine translation through visuals and speech, 2020, Machine Translation (authored by Umut Sulubacak)
  • Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, 2023, arXiv (Cornell University) (authored by Shaoxiong Ji)

Frequent co-authors contributing to their work include:

  • Shaoxiong Ji
  • Alessandro Raganato
  • Raúl Vázquez
  • Mikko Aulamo
  • Ona De Gibert

Their research often intersects topics such as computer vision and pattern recognition, language and linguistics, and aspects of social psychology within broader computer science.

Within the academic community, Jörg Tiedemann's output totals numerous publications mainly centered on advancing methodologies in machine translation, multimodal integration, and language resource evaluation.

Best Publications

  • OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles

    Pierre Lison;Jörg Tiedemann

  • News from OPUS — A collection of multilingual parallel corpora with tools and interfaces

    Jörg Tiedemann

  • Neural Machine Translation with Extended Context

    Jörg Tiedemann;Yves Scherrer

  • OPUS-MT – Building open translation services for the World

    Jörg Tiedemann;Santhosh Thottingal

  • ENSM-SE at CLEF 2006 : Fuzzy Proximity Method with an Adhoc Influence Function in Evaluation of Multilingual and Multi-modal Information Retrieval 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain

    Carol Peters;Paul Clough;Fredric C. Gey;Jussi Karlgren

  • An Analysis of Encoder Representations in Transformer-Based Machine Translation

    Alessandro Raganato;Jörg Tiedemann

  • Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task

    Shervin Malmasi;Marcos Zampieri;Nikola Ljubešić;Preslav Nakov

  • Findings of the VarDial Evaluation Campaign 2017

    Marcos Zampieri;Shervin Malmasi;Nikola Ljubešić;Preslav Nakov

  • Finding Synonyms Using Automatic Word Alignment and Measures of Distributional Similarity

    Lonneke van der Plas;Jörg Tiedemann

  • Open subtitles 2018 : Statistical rescoring of sentence alignments in large, noisy parallel corpora

    Pierre Lison;Jörg Tiedemann;Milen Kouylekov

  • A Report on the DSL Shared Task 2014

    Marcos Zampieri;Liling Tan;Nikola Ljubešić;Jörg Tiedemann

  • Bitext Alignment

    Jrg Tiedemann

  • Continuous multilinguality with language vectors

    Robert Östling;Jörg Tiedemann

  • Recycling Translations : Extraction of Lexical Data from Parallel Corpora and their Application in Natural Language Processing

    Jörg Tiedemann

  • Identifying idiomatic expressions using automatic word-alignment

    Begoña Villada Moirón;Jörg Tiedemann

  • Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages

    Preslav Nakov;Jörg Tiedemann

  • Combining clues for word alignment

    Jörg Tiedemann

  • Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign

    Marcos Zampieri;Shervin Malmasi;Preslav Nakov;Ahmed Ali

  • Automatic Construction of Weighted String Similarity Measures

    Jorg Tiedemann

  • Efficient Word Alignment with Markov Chain Monte Carlo

    Robert Östling;Jörg Tiedemann

Frequent Co-Authors

Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Nikola Ljubešić
Nikola Ljubešić Jožef Stefan Institute
Joakim Nivre
Joakim Nivre Uppsala University
Gosse Bouma
Gosse Bouma University of Groningen
Marcos Zampieri
Marcos Zampieri George Mason University
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Bonnie Webber
Bonnie Webber University of Edinburgh
Gertjan van Noord
Gertjan van Noord University of Groningen
Lucia Specia
Lucia Specia Imperial College London
Mikko Kurimo
Mikko Kurimo Aalto University

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