World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9979
World Ranking
9114
National Ranking
3874

Jason D. Williams 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 Jason D. Williams 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Jason D. Williams 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 Jason D. Williams 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

Jason D. Williams is affiliated with Apple in the United States and primarily works within the field of Computer Science. Their research spans multiple subfields, including Artificial Intelligence, Experimental and Cognitive Psychology, Information Systems and Management, Oceanography, and Information Systems.

Their work covers a range of topics such as AI in Service Interactions, Cognitive Functions and Memory, Personal Information Management and User Behavior, Speech and Dialogue Systems, Topic Modeling, Natural Language Processing Techniques, and Marine Biology and Ecology Research.

They have published several papers, including:

  • Conversational Semantic Parsing for Dialog State Tracking, 2020, arXiv (Cornell University)
  • Intelligent Assistant Language Understanding On Device, 2023, arXiv (Cornell University)
  • Morphological and molecular investigation of Scolelepis agilis (Verrill, 1873) (Annelida: Spionidae) from beaches of the Atlantic coast of North America, 2024, African Zoology
  • Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution, 2020, arXiv (Cornell University)
  • Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out, 2023, arXiv (Cornell University)

Frequent co-authors of Jason D. Williams include David Sun, Hadas Kotek, Zidi Xiu, Christopher J. Klein, and Stephen Pulman.

The major venues for their publications consist of:

  • arXiv (Cornell University)
  • African Zoology
  • PubMed
  • Caribbean Journal of Science
  • Systematic Parasitology

Best Publications

  • Partially observable Markov decision processes for spoken dialog systems

    Jason D. Williams;Steve Young

  • POMDP-Based Statistical Spoken Dialog Systems: A Review

    S. Young;M. Gasic;B. Thomson;J. D. Williams

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • The Second Dialog State Tracking Challenge

    Matthew Henderson;Blaise Thomson;Jason D Williams

  • The Dialog State Tracking Challenge

    Jason Williams;Antoine Raux;Deepak Ramachandran;Alan Black

  • The Second Conversational Intelligence Challenge (ConvAI2)

    Emily Dinan;Varvara Logacheva;Valentin Malykh;Alexander H. Miller

  • The Dialog State Tracking Challenge Series

    Jason D. Williams;Matthew Henderson;Antoine Raux;Blaise Thomson

  • Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning

    Jason D Williams;Kavosh Asadi;Geoffrey Zweig

  • System and method for using alternate recognition hypotheses to improve whole-dialog understanding accuracy

    Jason Williams

  • Taxonomy based on science is necessary for global conservation

    Scott A. Thomson;Richard L. Pyle;Shane T Ahyong;Shane T Ahyong;Miguel A. Alonso-Zarazaga

  • Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers

    Donghao Ren;Saleema Amershi;Bongshin Lee;Jina Suh

  • The Dialog State Tracking Challenge Series: A Review

    Jason D. Williams;Antoine Raux;Matthew Henderson

  • The third Dialog State Tracking Challenge

    Matthew Henderson;Blaise Thomson;Jason D. Williams

  • Factored partially observable Markov decision processes for dialogue management

    J Williams;P Poupart;SJ Young

  • End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning.

    Jason D. Williams;Geoffrey Zweig

  • Web-style ranking and SLU combination for dialog state tracking

    Jason D Williams

  • Scaling POMDPs for Spoken Dialog Management

    J.D. Williams;S. Young

  • PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES WITH CONTINUOUS OBSERVATIONS FOR DIALOGUE MANAGEMENT

    Jason D. Williams;Pascal Poupart;Steve J. Young

  • System and method for advanced turn-taking for interactive spoken dialog systems

    Jason D. Williams;Ethan Selfridge

  • The Fourth Dialog State Tracking Challenge.

    Seokhwan Kim;Luis Fernando D'Haro;Rafael E. Banchs;Jason D. Williams

  • POMDP-Based Statistical Spoken Dialog Systems: A Review This paper presents the theory and practice of belief tracking, policy optimization, parameter estimation, and fast learning.

    Steve Young;Milica Gasic;Blaise Thomson;Jason D. Williams

Frequent Co-Authors

Christopher B. Boyko
Christopher B. Boyko American Museum of Natural History
Steve Young
Steve Young University of Cambridge
Geoffrey Zweig
Geoffrey Zweig Facebook (United States)
Alan W. Black
Alan W. Black Carnegie Mellon University
Pascal Poupart
Pascal Poupart University of Waterloo
Stephen Pulman
Stephen Pulman University of Oxford
Maxine Eskenazi
Maxine Eskenazi Carnegie Mellon University
Joelle Pineau
Joelle Pineau McGill University
Shane T. Ahyong
Shane T. Ahyong Australian Museum
Milica Gasic
Milica Gasic Heinrich Heine University Düsseldorf

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