World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
14191
World Ranking
7024
National Ranking
3079

Thomas Dean 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 Thomas Dean 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: 137 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Thomas Dean 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 Thomas Dean 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: 45 D-Index — 51st percentile

51% 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

  • 2009 - ACM Fellow For the development of dynamic Bayes networks and anytime algorithms.
  • 1994 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For contributions to the fields of automated planning, temporal reasoning, and robotics.

Overview

Thomas Dean is affiliated with Google in the United States. Their primary area of research lies within the field of Medicine, with specific focus on Immunology and Allergy, Physiology, Public Health, Environmental and Occupational Health, Surgery, and Complementary and Alternative Medicine.

The topics covered by Thomas Dean's research include:

  • Asthma and respiratory diseases
  • Food Allergy and Anaphylaxis Research
  • Eosinophilic Esophagitis
  • Consumer Attitudes and Food Labeling
  • Obesity, Physical Activity, Diet
  • Allergic Rhinitis and Sensitization
  • Complementary and Alternative Medicine Studies

The scientist has contributed to a range of peer-reviewed publications over recent years. Notable papers include:

  • Different Measures of Diet Diversity During Infancy and the Association with Childhood Food Allergy in a UK Birth Cohort Study, 2020, published in The Journal of Allergy and Clinical Immunology In Practice
  • Dietary diversity during infancy and the association with childhood food allergen sensitization, 2021, Pediatric Allergy and Immunology
  • Food Allergy Prevalence in Two Population-Based UK Cohorts Born 12 Years Apart, 2025, Clinical & Experimental Allergy
  • Introduction time of highly allergenic foods to the infant diet in a UK cohort and association with a family history of allergy, 2025, European Journal of Clinical Nutrition
  • Temporal changes in maternal dietary intake during pregnancy and lactation between and within two pregnancy cohorts assembled in the United Kingdom, 2020, Journal of Allergy and Clinical Immunology

Thomas Dean has frequently published in venues such as:

  • British Journal of Surgery
  • The Journal of Allergy and Clinical Immunology In Practice
  • Pediatric Allergy and Immunology
  • Clinical & Experimental Allergy
  • European Journal of Clinical Nutrition

The scientist has collaborated regularly with several co-authors, including Carina Venter, Kate Maslin, Syed Hasan Arshad, Arabella Baker, and Natalie Bonsu.

Among accolades, Thomas Dean was named ACM Fellow in 2009 for work on dynamic Bayes networks and anytime algorithms. Additionally, they were recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1994, acknowledged for contributions to automated planning, temporal reasoning, and robotics.

Best Publications

  • Decision-theoretic planning: structural assumptions and computational leverage

    Craig Boutilier;Thomas Dean;Steve Hanks

  • A model for reasoning about persistence and causation

    Thomas Dean;Keiji Kanazawa

  • An analysis of time-dependent planning

    Thomas Dean;Mark Boddy

  • Planning and Control

    Thomas L. Dean;Michael P. Wellman

  • Temporal data base management

    Thomas L. Dean;Drew McDermott

  • On the complexity of solving Markov decision problems

    Michael L. Littman;Thomas L. Dean;Leslie Pack Kaelbling

  • Solving time-dependent planning problems

    Mark Boddy;Thomas Dean

  • Bounded-parameter Markov decision process

    Robert Givan;Sonia Leach;Thomas Dean

  • Fast, Accurate Detection of 100,000 Object Classes on a Single Machine

    Thomas Dean;Mark A. Ruzon;Mark Segal;Jonathon Shlens

  • Equivalence notions and model minimization in Markov decision processes

    Robert Givan;Thomas Dean;Matthew Greig

  • Deliberation scheduling for problem solving in time-constrained environments

    Mark Boddy;Thomas L. Dean

  • Planning Under Time Constraints in Stochastic Domains

    Thomas Dean;Leslie Pack Kaelbling;Jak Kirman;Ann Nicholson

  • Hierarchical solution of Markov decision processes using macro-actions

    Milos Hauskrecht;Nicolas Meuleau;Leslie Pack Kaelbling;Thomas Dean

  • Probabilistic temporal reasoning

    Thomas Dean;Keiji Kanazawa

  • Planning with deadlines in stochastic domains

    Thomas Dean;Leslie Pack Kaelbling;Jak Kirman;Ann Nicholson

  • Artificial Intelligence: Theory and Practice

    Thomas Dean;James Allen;Yiannis Aloimonos

  • Model minimization in Markov decision processes

    Thomas Dean;Robert Givan

  • Solving very large weakly coupled Markov decision processes

    Nicolas Meuleau;Milos Hauskrecht;Kee-Eung Kim;Leonid Peshkin

  • Neural networks and neuroscience-inspired computer vision.

    David Daniel Cox;Thomas Dean

  • Contextual LSTM (CLSTM) models for Large scale NLP tasks.

    Shalini Ghosh;Oriol Vinyals;Brian Strope;Scott Roy

  • Decomposition Techniques for Planning in Stochastic Domains

    Thomas Dean;Shieu-Hong Lin

Frequent Co-Authors

Craig Boutilier
Craig Boutilier Google (United States)
Ann E. Nicholson
Ann E. Nicholson Monash University
Greg Corrado
Greg Corrado Google (United States)
Larry P. Heck
Larry P. Heck Georgia Institute of Technology
Jonathon Shlens
Jonathon Shlens Google (United States)
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Jeffrey Scott Vitter
Jeffrey Scott Vitter University of Mississippi
Gary F. Marcus
Gary F. Marcus New York University
Loren M. Frank
Loren M. Frank University of California, San Francisco

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