World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
12769
World Ranking
13809
National Ranking
5483

Douglas B. Lenat 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 Douglas B. Lenat 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: 74 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Douglas B. Lenat 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 Douglas B. Lenat 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: 30 D-Index — 3rd percentile

3% 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

  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)

Overview

Douglas B. Lenat was affiliated with Stanford University in the United States. Their research spanned several areas within computer science and decision sciences, with a focus on artificial intelligence, management science and operations research, and information systems and management.

The main topics covered in their work included advanced graph neural networks, data quality and management, semantic web and ontologies, and scientific computing and data management.

Douglas B. Lenat published research articles in prominent venues such as AI Magazine and IEEE Annals of the History of Computing. Notable publications include:

  • Knowledge graphs: Introduction, history, and perspectives (2022, AI Magazine)
  • Knowledge Graphs: Introduction, History and, Perspectives (2022, AI Magazine)
  • Creating a 30-Million-Rule System: MCC and Cycorp (2022, IEEE Annals of the History of Computing)

The scientist frequently collaborated with the following coauthors:

  • Vinay K. Chaudhri
  • Chaitanya Baru
  • Naren Chittar
  • Michael Genesereth
  • James Hendler

They were recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 2008 and as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1990.

Best Publications

  • Building Expert Systems

    Frederick Hayes-Roth;Donald A. Waterman;Douglas B. Lenat

  • Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project

    Douglas B. Lenat;R. V. Guha

  • CYC: a large-scale investment in knowledge infrastructure

    Douglas B. Lenat

  • Knowledge-based systems in artificial intelligence

    Randall Davis;Douglas B Lenat

  • Building large knowledge-based systems

    Douglas Lenat;Ramanathan V. Guha

  • Cyc: toward programs with common sense

    Douglas B. Lenat;R. V. Guha;Karen Pittman;Dexter Pratt

  • Cyc: a mid-term report

    R. V. Guha;Douglas B. Lenat

  • CYC: a mid-term report

    R. V. Guha;Douglas B. Lenat

  • CYC: Using common sense knowledge to overcome brittleness and knowledge acquistion bottlenecks

    Doug Lenat;Mayank Prakash;Mary Shepherd

  • On the thresholds of knowledge

    Douglas B. Lenat;Edward A. Feigenbaum

  • Why AM an EUISKO appear to work.

    Douglas B. Lenat;John Seely Brown

  • AM, an artificial intelligence approach to discovery in mathematics as heuristic search

    Douglas Bruce Lenat

  • Eurisko: A program that learns new heuristics and domain concepts

    Douglas B. Lenat

  • Enabling agents to work together

    R. V. Guha;Douglas B. Lenat

  • The nature of heuristics

    Douglas B. Lenat

  • The Role of Heuristics in Learning by Discovery: Three Case Studies

    Douglas B. Lenat

  • Mapping Ontologies into Cyc

    Unknown

  • Searching for common sense: populating Cyc™ from the web

    Cynthia Matuszek;Michael Witbrock;Robert C. Kahlert;John Cabral

  • Automated theory formation in mathematics

    Douglas B. Lenat

  • Theory formation by heuristic search

    Douglas B. Lenat

  • The ubiquity of discovery

    Douglas B. Lenat

  • The ubiquity of discovery

    Douglas B. Lenat

  • BEINGs: knowledge as interacting experts

    Douglas B. Lenat

  • Beings: knowledge as interacting experts

    Douglas B. Lenat

  • A representation language language

    Russell Greiner;Douglas B. Lenat

  • On the thresholds of knowledge

    Douglas B. Lenat;Edward A. Feigenbaum

  • PRINCIPLES OF PATTERN-DIRECTED INFERENCE SYSTEMS

    Frederick Hayes-Roth;D.A. Waterman;Douglas B. Lenat

  • Building expert systems

    Frederick Hayes-Roth;Donald A. Waterman;Douglas B. Lenat

Frequent Co-Authors

Ramanathan V. Guha
Ramanathan V. Guha Google (United States)
Edward A. Feigenbaum
Edward A. Feigenbaum Stanford University
Bilge Mutlu
Bilge Mutlu University of Wisconsin–Madison
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University
Eric Horvitz
Eric Horvitz Microsoft (United States)
John Seely Brown
John Seely Brown Palo Alto Research Center
David E. Shaw
David E. Shaw D. E. Shaw Research
Roger Azevedo
Roger Azevedo University of Central Florida
Takayuki Kanda
Takayuki Kanda Kyoto University

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Related Online Degrees & Career Pathways

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