World's Best Scientists 2026 revealed!
Ryan McDonald

Ryan McDonald

D-Index & Metrics

Computer Science

D-Index
65
Citations
23010
World Ranking
2415
National Ranking
1209

Ryan McDonald 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 Ryan McDonald 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: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Ryan McDonald 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 Ryan McDonald 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Ryan McDonald is affiliated with ASAPP in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research covers several subfields including molecular biology, infectious diseases, cognitive neuroscience, and signal processing.

Their main research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Text Readability and Simplification
  • SARS-CoV-2 and COVID-19 Research

Ryan McDonald's publication record features papers in both peer-reviewed conferences and preprint servers. Significant recent papers include:

  • "Universal Dependencies" (2025), published in Elsevier eBooks
  • "Planning with Learned Entity Prompts for Abstractive Summarization" (2021), published in Transactions of the Association for Computational Linguistics
  • "Universal Dependencies" (2025), published in HAL (Le Centre pour la Communication Scientifique Directe)
  • "Decoding Part-of-Speech from Human EEG Signals" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble" (2020), published in arXiv (Cornell University)

Frequently publishing in venues such as arXiv (Cornell University), Elsevier eBooks, Transactions of the Association for Computational Linguistics, and proceedings of the Annual Meeting of the Association for Computational Linguistics, McDonald maintains an active profile in both open-access platforms and established scientific outlets.

Collaborations form an important part of their work, with frequent co-authors including:

  • Shashi Narayan
  • Kilian Q. Weinberger
  • Jennifer Foster
  • Filip Ginter
  • Jan Hajič

The mix of topics and venues demonstrates a diverse engagement with both applied and theoretical aspects of computational linguistics and allied disciplines. Their work in biomedical text mining and COVID-19 research situates them at the intersection of computer science and healthcare-related data analysis.

Best Publications

  • Domain Adaptation with Structural Correspondence Learning

    John Blitzer;Ryan McDonald;Fernando Pereira

  • Universal Dependencies v1: A Multilingual Treebank Collection

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

  • Non-Projective Dependency Parsing using Spanning Tree Algorithms

    Ryan McDonald;Fernando Pereira;Kiril Ribarov;Jan Hajic

  • A Universal Part-of-Speech Tagset

    Slav Petrov;Dipanjan Das;Ryan McDonald

  • Modeling online reviews with multi-grain topic models

    Ivan Titov;Ryan McDonald

  • Online Large-Margin Training of Dependency Parsers

    Ryan McDonald;Koby Crammer;Fernando Pereira

  • The CoNLL 2007 Shared Task on Dependency Parsing

    Joakim Nivre;Johan Hall;Sandra K"ubler;Ryan McDonald

  • A Joint Model of Text and Aspect Ratings for Sentiment Summarization

    Ivan Titov;Ryan McDonald

  • On Faithfulness and Factuality in Abstractive Summarization

    Joshua Maynez;Shashi Narayan;Bernd Bohnet;Ryan Thomas Mcdonald

  • Dependency Parsing

    Sandra Kubler;Ryan McDonald;Joakim Nivre;Graeme Hirst

  • Universal Dependency Annotation for Multilingual Parsing

    Ryan McDonald;Joakim Nivre;Yvonne Quirmbach-Brundage;Yoav Goldberg

  • Online Learning of Approximate Dependency Parsing Algorithms.

    Ryan T. McDonald;Fernando C. N. Pereira

  • Universal Dependencies 2.2

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • Building a Sentiment Summarizer for Local Service Reviews

    Sasha Blair-Goldensohn;Kerry Hannan;Ryan McDonald;Tyler Neylon

  • A study of global inference algorithms in multi-document summarization

    Ryan McDonald

  • Structured Models for Fine-to-Coarse Sentiment Analysis

    Ryan McDonald;Kerry Hannan;Tyler Neylon;Mike Wells

  • Characterizing the Errors of Data-Driven Dependency Parsers

    Ryan McDonald;Joakim Nivre

  • Multilingual Dependency Analysis with a Two-Stage Discriminative Parser

    Ryan McDonald;Kevin Lerman;Fernando Pereira

  • Distributed Training Strategies for the Structured Perceptron

    Ryan McDonald;Keith Hall;Gideon Mann

  • Multi-Source Transfer of Delexicalized Dependency Parsers

    Ryan McDonald;Slav Petrov;Keith Hall

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

Frequent Co-Authors

Joakim Nivre
Joakim Nivre Uppsala University
Slav Petrov
Slav Petrov Google (United States)
Fernando Pereira
Fernando Pereira Google (United States)
Yoav Goldberg
Yoav Goldberg Bar-Ilan University
Jan Hajič
Jan Hajič Charles University
Dipanjan Das
Dipanjan Das Google (United States)
Christopher D. Manning
Christopher D. Manning Stanford University
Sampo Pyysalo
Sampo Pyysalo University of Turku
Filip Ginter
Filip Ginter University of Turku
Marie-Catherine de Marneffe
Marie-Catherine de Marneffe The Ohio State University

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