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D-Index & Metrics

Computer Science

D-Index
115
Citations
67522
World Ranking
187
National Ranking
109

Dan Jurafsky 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 Dan Jurafsky 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: 342 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Dan Jurafsky 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 Dan Jurafsky 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: 115 D-Index — 99th percentile

99% 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

  • 2020 - Fellow of the American Academy of Arts and Sciences
  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Dan Jurafsky is affiliated with Stanford University in the United States and specializes primarily in computer science with a focus on artificial intelligence. Their research spans numerous subfields, including artificial intelligence, sociology and political science, computer vision and pattern recognition, general social sciences, and political science and international relations.

The scientist has contributed extensively to topics related to natural language processing techniques, topic modeling, speech recognition and synthesis, multimodal machine learning applications, computational and text analysis methods, speech and dialogue systems, and language and cultural evolution.

Recent publications by Dan Jurafsky include:

  • "On the Opportunities and Risks of Foundation Models" (2021), published in arXiv (Cornell University)
  • "Racial disparities in automated speech recognition" (2020), published in Proceedings of the National Academy of Sciences
  • "Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study" (2023), published in The Lancet Digital Health
  • "Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning" (2020), published in arXiv (Cornell University)

Key frequent co-authors collaborating with Jurafsky include Kawin Ethayarajh, Mirac Süzgün, Martijn Bartelds, Peter Henderson, and Tatsunori Hashimoto.

The most common venues for publication are:

  • arXiv (Cornell University)
  • Proceedings of the National Academy of Sciences
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the Linguistic Society of America
  • The Lancet Digital Health

In addition to research articles, Dan Jurafsky has published a book titled Linguistic Theory and the Biblical Text in 2023 under Cambridge Semitic Languages and Cultures.

Dan Jurafsky has been recognized as a Fellow of the American Academy of Arts and Sciences since 2020 and as a Fellow of the American Association for the Advancement of Science since 2019.

Best Publications

  • Speech and Language Processing

    Dan Jurafsky;James H. Martin

  • Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

    Daniel Jurafsky;James H. Martin

  • Distant supervision for relation extraction without labeled data

    Mike Mintz;Steven Bills;Rion Snow;Daniel Jurafsky

  • Automatic labeling of semantic roles

    Daniel Gildea;Daniel Jurafsky

  • Cheap and Fast -- But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks

    Rion Snow;Brendan O'Connor;Daniel Jurafsky;Andrew Ng

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • Dialogue act modeling for automatic tagging and recognition of conversational speech

    Andreas Stolcke;Noah Coccaro;Rebecca Bates;Paul Taylor

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Dan Jurafsky

  • Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

    William L. Hamilton;Jure Leskovec;Dan Jurafsky

  • Word embeddings quantify 100 years of gender and ethnic stereotypes.

    Nikhil Garg;Londa Schiebinger;Dan Jurafsky;James Zou

  • Learning Syntactic Patterns for Automatic Hypernym Discovery

    Rion Snow;Daniel Jurafsky;Andrew Y. Ng

  • Adversarial Learning for Neural Dialogue Generation

    Jiwei Li;Will Monroe;Tianlin Shi;Sébastien Jean

  • Probabilistic relations between words: Evidence from reduction in lexical production.

    Daniel Jurafsky;Alan Bell;Michelle Gregory;William D. Raymond

  • Predictability Effects on Durations of Content and Function Words in Conversational English

    Alan Bell;Jason Brenier;Michelle L. Gregory;cynthia girand

  • A Probabilistic Model of Lexical and Syntactic Access and Disambiguation

    Daniel Jurafsky;Daniel Jurafsky

  • Visualizing and Understanding Neural Models in NLP

    Jiwei Li;Xinlei Chen;Eduard H. Hovy;Dan Jurafsky

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Michel Galley

  • Unsupervised Learning of Narrative Event Chains

    Nathanael Chambers;Dan Jurafsky

  • A Hierarchical Neural Autoencoder for Paragraphs and Documents

    Jiwei Li;Thang Luong;Dan Jurafsky

  • Studying the History of Ideas Using Topic Models

    David Hall;Daniel Jurafsky;Christopher D. Manning

  • Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech

    A. Stolcke;K. Ries;N. Coccaro;E. Shriberg

Frequent Co-Authors

Christopher D. Manning
Christopher D. Manning Stanford University
Jiwei Li
Jiwei Li Zhejiang University
Jure Leskovec
Jure Leskovec Stanford University
James H. Martin
James H. Martin University of Colorado Boulder
Andrew Y. Ng
Andrew Y. Ng Stanford University
Wayne H. Ward
Wayne H. Ward University of Colorado Boulder
Michel Galley
Michel Galley Microsoft (United States)
Steven Bethard
Steven Bethard University of Arizona
Sameer Pradhan
Sameer Pradhan Vassar College
Ani Nenkova
Ani Nenkova Adobe Systems (United States)

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