World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8145
World Ranking
9190
National Ranking
3913

Chris Quirk 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 Chris Quirk 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Chris Quirk 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 Chris Quirk 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Chris Quirk is affiliated with Microsoft in the United States and has contributed to research primarily in the field of Computer Science. Their work spans various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, and Social Psychology.

The main topics in Chris Quirk's research portfolio include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis
  • Mental Health via Writing
  • Text Readability and Simplification
  • Advanced Graph Neural Networks

Chris Quirk's frequent coauthors comprise:

  • Michel Galley
  • Jianfeng Gao
  • Zeqiu Wu
  • Chris Brockett
  • Yizhe Zhang

Publications by Chris Quirk are often found in the following venues:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Findings of the Association for Computational Linguistics: ACL 2022

Among their published papers are:

  • A Controllable Model of Grounded Response Generation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Probing Factually Grounded Content Transfer with Factual Ablation, 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation, 2020, arXiv (Cornell University)
  • A Controllable Model of Grounded Response Generation, 2020, arXiv (Cornell University)
  • Probing Factually Grounded Content Transfer with Factual Ablation, 2022, arXiv (Cornell University)

Best Publications

  • Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources

    Bill Dolan;Chris Quirk;Chris Brockett

  • Cross-Sentence N-ary Relation Extraction with Graph LSTMs

    Nanyun Peng;Hoifung Poon;Chris Quirk;Kristina Toutanova

  • Dependency Treelet Translation: Syntactically Informed Phrasal SMT

    Chris Quirk;Arul Menezes;Colin Cherry

  • Machine translation system incorporating syntactic dependency treelets into a statistical framework

    Arul A. Menezes;Christopher B. Quirk;Colin A. Cherry

  • Monolingual Machine Translation for Paraphrase Generation

    Chris Quirk;Chris Brockett;William B. Dolan

  • Machine Translation

    Unknown

  • Joint Language and Translation Modeling with Recurrent Neural Networks

    Michael Auli;Michel Galley;Chris Quirk;Geoffrey Zweig

  • System for identifying paraphrases using machine translation techniques

    Christopher B. Quirk;Christopher J. Brockett;William B. Dolan

  • Distant Supervision for Relation Extraction beyond the Sentence Boundary

    Chris Quirk;Hoifung Poon

  • Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment

    Jason R. Smith;Chris Quirk;Kristina Toutanova

  • System for identifying paraphrases using machine translation

    Christopher J. Brockett;William B. Dolan;Christopher B. Quirk

  • Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes

    Chris Quirk;Raymond Mooney;Michel Galley

  • deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets

    Michel Galley;Chris Brockett;Alessandro Sordoni;Yangfeng Ji

  • System and method for machine learning a confidence metric for machine translation

    Christopher B. Quirk;Arul A. Menezes;Stephen D. Richardson;Robert C. Moore

  • Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text

    Kristina Toutanova;Victoria Lin;Wen-tau Yih;Hoifung Poon

  • Training a Sentence-Level Machine Translation Confidence Measure.

    Christopher B. Quirk

  • A Large Scale Ranker-Based System for Search Query Spelling Correction

    Jianfeng Gao;Xiaolong Li;Daniel Micol;Chris Quirk

  • Statistical language model for logical forms

    Anthony Aue;Eric Ringger;Christopher Quirk;Arul Menezes

  • Extracting treelet translation pairs

    Arul A. Menezes;Christopher B. Quirk;Colin A. Cherry

  • Statistical language model for logical form using transfer mappings

    Anthony Aue;Eric K. Ringger;Christopher B. Quirk;Arul A. Menezes

  • Novel positional encodings to enable tree-based transformers

    Vighnesh Leonardo Shiv;Chris Quirk

  • Book review: linguistic structure prediction noah a. smith carnegie mellon university morgan & claypool (synthesis lectures on human language technologies, edited by graeme hirst, volume 13), 2011, xx+248 pp; paperbound, isbn 978-1-60845-405-1, $60.00; ebook, isbn 978-1-60845-406-8, $30.00 or by subscription

    Chris Quirk

Frequent Co-Authors

Robert C. Moore
Robert C. Moore Google (United States)
Kristina Toutanova
Kristina Toutanova Google (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Michel Galley
Michel Galley Microsoft (United States)
Colin Cherry
Colin Cherry Google (Canada)
Chris Brockett
Chris Brockett Microsoft (United States)
Hoifung Poon
Hoifung Poon Microsoft (United States)
Wen-tau Yih
Wen-tau Yih Facebook (United States)
William B. Dolan
William B. Dolan Microsoft (United States)
Margaret Mitchell
Margaret Mitchell Hugging Face

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