World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
96933
World Ranking
12821
National Ranking
5162

Kenton Lee 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 Kenton Lee 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: 52 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Kenton Lee 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 Kenton Lee 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Kenton Lee is a researcher affiliated with Google in the United States specializing primarily in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Physiology, Language and Linguistics, and Cognitive Neuroscience.

Their research topics cover a variety of areas such as:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Obstructive Sleep Apnea Research
  • Domain Adaptation and Few-Shot Learning
  • Sleep and Wakefulness Research
  • EFL/ESL Teaching and Learning

Kenton Lee has contributed to numerous publications, with frequent appearances in venues such as:

  • arXiv (Cornell University)
  • SLEEP
  • Modern English Education
  • Laryngo-Rhino-Otologie
  • Journal of Clinical Sleep Medicine

Some of their recent papers include:

  • Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding, 2022, arXiv (Cornell University)
  • Neural Data Augmentation via Example Extrapolation, 2021, arXiv (Cornell University)

Other notable publications that Kenton Lee has contributed to, though with different lead authors, are:

  • EMBI, 2024, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • REALM: Retrieval-Augmented Language Model Pre-Training, 2020, arXiv (Cornell University)
  • NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned, 2021, arXiv (Cornell University)

Kenton Lee frequently collaborates with other researchers. Their most frequent co-authors include:

  • Kristina Toutanova
  • Ming-Wei Chang
  • Mandar Joshi
  • Max Lundeen
  • Hexiang Hu

Best Publications

  • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

    Jacob Devlin;Ming-Wei Chang;Kenton Lee;Kristina N. Toutanova

  • Deep contextualized word representations

    Matthew E. Peters;Mark Neumann;Mohit Iyyer;Matt Gardner

  • Natural Questions: A Benchmark for Question Answering Research

    Tom Kwiatkowski;Jennimaria Palomaki;Olivia Redfield;Michael Collins

  • Latent Retrieval for Weakly Supervised Open Domain Question Answering

    Kenton Lee;Ming-Wei Chang;Kristina N. Toutanova

  • End-to-end Neural Coreference Resolution

    Kenton Lee;Luheng He;Mike Lewis;Luke Zettlemoyer

  • BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

    Christopher Clark;Kenton Lee;Ming-Wei Chang;Tom Kwiatkowski

  • Legibility and predictability of robot motion

    Anca D. Dragan;Kenton C.T. Lee;Siddhartha S. Srinivasa

  • Higher-Order Coreference Resolution with Coarse-to-Fine Inference

    Kenton Lee;Luheng He;Luke Zettlemoyer

  • REALM: Retrieval-Augmented Language Model Pre-Training.

    Kelvin Guu;Kenton Lee;Zora Tung;Panupong Pasupat

  • Deep Semantic Role Labeling: What Works and What’s Next

    Luheng He;Kenton Lee;Mike Lewis;Luke Zettlemoyer

  • Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

    Iulia Turc;Ming-Wei Chang;Kenton Lee;Kristina Toutanova

  • Zero-shot Entity Linking by Reading Entity Descriptions

    Lajanugen Logeswaran;Ming-Wei Chang;Kenton Lee;Kristina N. Toutanova

  • Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling

    Luheng He;Kenton Lee;Omer Levy;Luke Zettlemoyer

  • Retrieval Augmented Language Model Pre-Training

    Kelvin Guu;Kenton Lee;Zora Tung;Panupong Pasupat

  • Learning Recurrent Span Representations for Extractive Question Answering

    Kenton Lee;Shimi Salant;Tom Kwiatkowski;Ankur Parikh

  • Broad-coverage CCG Semantic Parsing with AMR

    Yoav Artzi;Kenton Lee;Luke Zettlemoyer

  • A BERT Baseline for the Natural Questions

    Chris Alberti;Kenton Lee;Michael Collins

  • Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation

    Iulia Turc;Ming-Wei Chang;Kenton Lee;Kristina Toutanova

  • Syntactic Scaffolds for Semantic Structures.

    Swabha Swayamdipta;Sam Thomson;Kenton Lee;Luke Zettlemoyer

  • XOR QA: Cross-lingual Open-Retrieval Question Answering

    Akari Asai;Jungo Kasai;Jonathan H. Clark;Kenton Lee

  • LSTM CCG Parsing.

    Mike Lewis;Kenton Lee;Luke Zettlemoyer

Frequent Co-Authors

Ming-Wei Chang
Ming-Wei Chang Google (United States)
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Kristina Toutanova
Kristina Toutanova Google (United States)
Michael Collins
Michael Collins Google (United States)
Hannaneh Hajishirzi
Hannaneh Hajishirzi University of Washington
Michael Lewis
Michael Lewis University of Pittsburgh
Omer Levy
Omer Levy Deep Mind
Yoav Artzi
Yoav Artzi Cornell University
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Jordan Boyd-Graber
Jordan Boyd-Graber University of Maryland, College Park

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