World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
32036
World Ranking
4176
National Ranking
24

Sampo Pyysalo 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 Sampo Pyysalo 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: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Sampo Pyysalo 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 Sampo Pyysalo 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Sampo Pyysalo is affiliated with the University of Turku in Finland. Their research spans several interdisciplinary fields, with a focus on computational methods related to biology and language processing.

Their primary fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these fields, Pyysalo has contributed extensively to subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Spectroscopy
  • Computational Theory and Mathematics
  • Information Systems

The main research topics addressed by Pyysalo encompass:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Bioinformatics and Genomic Networks
  • Text Readability and Simplification
  • Semantic Web and Ontologies
  • Advanced Proteomics Techniques and Applications

Among Pyysalo's frequent co-authors are:

  • Katerina Nastou
  • Lars Juhl Jensen
  • Farrokh Mehryary
  • Filip Ginter
  • Jouni Luoma

Pyysalo has published in a variety of scientific venues. The most common publication forums include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nucleic Acids Research
  • Bioinformatics

Recent notable papers authored or co-authored by Pyysalo include:

  • The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets, 2020, Nucleic Acids Research
  • The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest, 2022, Nucleic Acids Research
  • Correction to 'The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets', 2021, Nucleic Acids Research
  • Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection, 2020, arXiv (Cornell University)
  • The STRING database in 2025: protein networks with directionality of regulation, 2024, Nucleic Acids Research

Best Publications

  • The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

    Unknown

  • The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets.

    Damian Szklarczyk;Annika L. Gable;Katerina C. Nastou;David Lyon

  • Universal Dependencies v1: A Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Yoav Goldberg

  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

    Unknown

  • brat: a Web-based Tool for NLP-Assisted Text Annotation

    Pontus Stenetorp;Sampo Pyysalo;Goran Topić;Tomoko Ohta

  • Overview of BioNLP'09 Shared Task on Event Extraction

    Jin-Dong Kim;Tomoko Ohta;Sampo Pyysalo;Yoshinobu Kano

  • Universal Dependencies 2.2

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • BioInfer: a corpus for information extraction in the biomedical domain

    Sampo Pyysalo;Filip Ginter;Juho Heimonen;Jari Björne

  • Correction to ‘The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets’

    Unknown

  • Distributional Semantics Resources for Biomedical Text Processing

    S Pyysalo;F Ginter;H Moen;T Salakoski

  • CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

    Daniel Zeman;Martin Popel;Milan Straka;Jan Hajic

  • How to Train good Word Embeddings for Biomedical NLP

    Billy Chiu;Gamal K. O. Crichton;Anna Korhonen;Sampo Pyysalo

  • All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning

    Antti Airola;Sampo Pyysalo;Jari Björne;Tapio Pahikkala

  • Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Jan Hajic

  • Comparative analysis of five protein-protein interaction corpora

    Sampo Pyysalo;Antti Airola;Juho Heimonen;Jari Björne

  • Event extraction for systems biology by text mining the literature.

    Sophia Ananiadou;Sampo Pyysalo;Jun’ichi Tsujii;Douglas B. Kell

  • Universal Dependencies 1.0

    Joakim Nivre;Cristina Bosco;Jinho Choi;Marie-Catherine de Marneffe

  • Universal Dependencies 2.1

    Joakim Nivre;Željko Agić;Lars Ahrenberg;Lene Antonsen

  • A neural network multi-task learning approach to biomedical named entity recognition

    Gamal K. O. Crichton;Sampo Pyysalo;Billy Chiu;Anna Korhonen

  • Overview of BioNLP Shared Task 2013

    Claire Nédellec;Robert Bossy;Jin-Dong Kim;Jung-Jae Kim

  • Overview of BioNLP Shared Task 2011

    Jin-Dong Kim;Sampo Pyysalo;Tomoko Ohta;Robert Bossy

  • Multilingual is not enough: BERT for Finnish

    Antti Virtanen;Jenna Kanerva;Rami Ilo;Jouni Luoma

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

Frequent Co-Authors

Filip Ginter
Filip Ginter University of Turku
Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Tomoko Ohta
Tomoko Ohta University of Tokyo
Tapio Salakoski
Tapio Salakoski University of Turku
Sophia Ananiadou
Sophia Ananiadou University of Manchester
Christopher D. Manning
Christopher D. Manning Stanford University
Joakim Nivre
Joakim Nivre Uppsala University
Jan Hajič
Jan Hajič Charles University
Marie-Catherine de Marneffe
Marie-Catherine de Marneffe The Ohio State University
Slav Petrov
Slav Petrov Google (United States)

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