World's Best Scientists 2026 revealed!
Roger Levy

Roger Levy

D-Index & Metrics

Computer Science

D-Index
48
Citations
12824
World Ranking
6072
National Ranking
2737

Roger Levy 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 Roger Levy 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: 161 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Roger Levy 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 Roger Levy 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: 48 D-Index — 58th percentile

58% 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

  • 2012 - Fellow of Alfred P. Sloan Foundation

Overview

Roger Levy is affiliated with MIT in the United States and works primarily in the field of Computer Science. Their research spans several subfields, including Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology, Language and Linguistics, and Cultural Studies.

The main topics they have focused on include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Neurobiology of Language and Bilingualism
  • Text Readability and Simplification
  • Reading and Literacy Development
  • Speech and Dialogue Systems
  • Language and Cultural Evolution

Roger Levy has contributed extensively to academic literature, with a notable presence in frequent publication venues such as:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the National Academy of Sciences
  • Language
  • Open Mind

Their recent papers demonstrate diverse research interests and include the following works:

  • "Lossy-Context Surprisal: An Information-Theoretic Model of Memory Effects in Sentence Processing", 2020, published in Cognitive Science
  • "On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior", 2020, published in arXiv (Cornell University)
  • "Large-scale evidence for logarithmic effects of word predictability on reading time", 2024, published in Proceedings of the National Academy of Sciences
  • "Dependency locality as an explanatory principle for word order", 2020, published in Language
  • "Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network", 2021, published in Cerebral Cortex

Frequent collaborators in research with Roger Levy include:

  • Peng Qian
  • Richard Futrell
  • Clara Meister
  • Tiago Pimentel
  • Ryan Cotterell

In recognition of their work, Roger Levy was awarded the Fellow of Alfred P. Sloan Foundation in 2012.

Best Publications

  • Expectation-based syntactic comprehension

    Roger Levy

  • A new approach to cross-modal multimedia retrieval

    Nikhil Rasiwasia;Jose Costa Pereira;Emanuele Coviello;Gabriel Doyle

  • The effect of word predictability on reading time is logarithmic

    Nathaniel J. Smith;Roger Levy

  • Speakers optimize information density through syntactic reduction

    T. F. Jaeger;Roger P. Levy

  • How Efficiency Shapes Human Language.

    Edward Gibson;Richard Futrell;Steven P. Piantadosi;Isabelle Dautriche

  • On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

    Jose Costa Pereira;Emanuele Coviello;Gabriel Doyle;Nikhil Rasiwasia

  • Tregex and Tsurgeon: tools for querying and manipulating tree data structures.

    Roger Levy;Galen Andrew

  • Is it Harder to Parse Chinese, or the Chinese Treebank?

    Roger Levy;Christopher D. Manning

  • Eye movement evidence that readers maintain and act on uncertainty about past linguistic input

    Roger Levy;Klinton Bicknell;Tim Slattery;Keith Rayner

  • The Chicken or the Egg? A Probabilistic Analysis of English Binomials

    Sarah Bunin Benor;Roger Levy

  • A Systematic Assessment of Syntactic Generalization in Neural Language Models

    Jennifer Hu;Jon Gauthier;Peng Qian;Ethan Wilcox

  • A Noisy-Channel Model of Human Sentence Comprehension under Uncertain Input

    Roger Levy

  • What do RNN Language Models Learn about Filler-Gap Dependencies?

    Ethan Wilcox;Roger Levy;Takashi Morita;Richard Futrell

  • Pragmatic reasoning through semantic inference

    Leon Bergen;Roger Levy;Noah Goodman

  • Neural language models as psycholinguistic subjects: Representations of syntactic state.

    Richard Futrell;Ethan Wilcox;Takashi Morita;Peng Qian

  • Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing

    Richard Futrell;Edward Gibson;Roger P. Levy

  • A noisy-channel model of rational human sentence comprehension under uncertain input

    Roger Levy

  • Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results

    Roger Levy

  • A generative model for semantic role labeling

    Cynthia A. Thompson;Roger Levy;Christopher D. Manning

  • Modeling the effects of memory on human online sentence processing with particle filters

    Roger P. Levy;Florencia Reali;Thomas L. Griffiths

  • Embedded implicatures as pragmatic inferences under compositional lexical uncertainty

    Christopher Potts;Daniel Lassiter;Roger Levy;Michael C. Frank

  • The processing of extraposed structures in English.

    Roger Levy;Evelina Fedorenko;Mara Breen;Edward A. Gibson

Frequent Co-Authors

Keith Rayner
Keith Rayner University of California, San Diego
Christopher D. Manning
Christopher D. Manning Stanford University
Noah D. Goodman
Noah D. Goodman Stanford University
Michael C. Frank
Michael C. Frank Stanford University
Frank Keller
Frank Keller University of Edinburgh
Steven Piantadosi
Steven Piantadosi University of California, Berkeley

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