World's Best Scientists 2026 revealed!
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Computer Science
UK
2023

D-Index & Metrics

Computer Science

D-Index
70
Citations
20344
World Ranking
1869
National Ranking
107

Sophia Ananiadou 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 Sophia Ananiadou 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: 520 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Sophia Ananiadou 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 Sophia Ananiadou 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: 70 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

  • 2023 - Research.com Computer Science in United Kingdom Leader Award

Overview

Sophia Ananiadou is affiliated with the University of Manchester in the United Kingdom, with a research focus centered in Computer Science and specifically Artificial Intelligence. Their work covers a diverse range of topics including Topic Modeling, Natural Language Processing Techniques, and Biomedical Text Mining and Ontologies.

The scientist's recent publications illustrate engagement with both domain-specific applications and methodological developments in natural language processing and biomedical informatics. Notable recent papers include:

  • "Natural language processing applied to mental illness detection: a narrative review" (2022), npj Digital Medicine
  • "Pre-trained language models with domain knowledge for biomedical extractive summarization" (2022), Knowledge-Based Systems
  • "A mental state Knowledge-aware and Contrastive Network for early stress and depression detection on social media" (2022), Information Processing & Management
  • "Transformer for Graphs: An Overview from Architecture Perspective" (2022), arXiv (Cornell University)
  • "DeepEventMine: end-to-end neural nested event extraction from biomedical texts" (2020), Bioinformatics

Their collaborations include frequent co-authorship with researchers such as Qianqian Xie, Kailai Yang, Tianlin Zhang, Jimin Huang, and Makoto Miwa. The extent of collaboration varies, with Qianqian Xie being the most frequent coauthor.

  • Qianqian Xie
  • Kailai Yang
  • Tianlin Zhang
  • Jimin Huang
  • Makoto Miwa

Publication venues where this scientist has appeared most frequently include arXiv (Cornell University), IEEE Transactions on Affective Computing, Zenodo (CERN European Organization for Nuclear Research), Information Processing & Management, and Neurocomputing.

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Information Processing & Management
  • Neurocomputing

The subfields of study associated with their work demonstrate interdisciplinary reach spanning Artificial Intelligence, Molecular Biology, Social Psychology, Sociology and Political Science, and Information Systems.

  • Artificial Intelligence
  • Molecular Biology
  • Social Psychology
  • Sociology and Political Science
  • Information Systems

Key research topics covered in their publications include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Mental Health via Writing
  • Misinformation and Its Impacts

Best Publications

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

    Pontus Stenetorp;Sampo Pyysalo;Goran Topić;Tomoko Ohta

  • Automatic recognition of multi-word terms:. the C-value/NC-value method

    Katerina T. Frantzi;Sophia Ananiadou;Hideki Mima

  • Using text mining for study identification in systematic reviews: a systematic review of current approaches

    Alison O’Mara-Eves;James Thomas;John McNaught;Makoto Miwa

  • Developing a robust part-of-speech tagger for biomedical text

    Yoshimasa Tsuruoka;Yuka Tateishi;Jin-Dong Kim;Tomoko Ohta

  • Distributional Semantics Resources for Biomedical Text Processing

    S Pyysalo;F Ginter;H Moen;T Salakoski

  • Text Mining for Biology And Biomedicine

    Sophia Ananiadou;John Mcnaught

  • Text mining and its potential applications in systems biology

    Sophia Ananiadou;Douglas B. Kell;Jun ichi Tsujii;Jun ichi Tsujii

  • Text mining and ontologies in biomedicine: Making sense of raw text

    Irena Spasic;Sophia Ananiadou;John McNaught;Anand Kumar

  • The C-value/NC-value domain-independent method for multi-word term extraction

    Katerina T. Frantzi;Sophia Ananiadou

  • A methodology for automatic term recognition

    Sophia Ananiadou

  • Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty

    Yoshimasa Tsuruoka;Jun'ichi Tsujii;Sophia Ananiadou

  • A Neural Layered Model for Nested Named Entity Recognition

    Meizhi Ju;Makoto Miwa;Sophia Ananiadou

  • The C-value/NC-value Method of Automatic Recognition for Multi-Word Terms

    Katerina T. Frantzi;Sophia Ananiadou;Jun-ichi Tsujii

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

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

  • Applications of text mining within systematic reviews

    James Thomas;John McNaught;Sophia Ananiadou

  • Extracting nested collocations

    Katerina T. Frantzi;Sophia Ananiadou

  • Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

    Fenia Christopoulou;Makoto Miwa;Makoto Miwa;Sophia Ananiadou

  • Reducing systematic review workload through certainty-based screening

    Makoto Miwa;James Thomas;Alison O'Mara-Eves;Sophia Ananiadou

  • FACTA: a text search engine for finding associated biomedical concepts

    Yoshimasa Tsuruoka;Jun'ichi Tsujii;Sophia Ananiadou

  • Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

    Sunil Kumar Sahu;Fenia Christopoulou;Makoto Miwa;Sophia Ananiadou

  • On the definition of word

    Sophia Ananiadou

Frequent Co-Authors

Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Makoto Miwa
Makoto Miwa Toyota Technological Institute
Sampo Pyysalo
Sampo Pyysalo University of Turku
Goran Nenadic
Goran Nenadic University of Manchester
Yoshimasa Tsuruoka
Yoshimasa Tsuruoka University of Tokyo
Tomoko Ohta
Tomoko Ohta University of Tokyo
Paul M. Thompson
Paul M. Thompson University of Southern California
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology
Dina Demner-Fushman
Dina Demner-Fushman National Institutes of Health
Diana Maynard
Diana Maynard University of Sheffield

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