World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7054
World Ranking
7286
National Ranking
3179

William C. Regli 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 William C. Regli 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: 235 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

William C. Regli 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 William C. Regli 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

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - IEEE Fellow For contributions to 3D search, design repositories and intelligent manufacturing
  • 2008 - ACM Senior Member

Overview

William C. Regli is affiliated with the University of Maryland, College Park in the United States. Their research spans across multiple domains within computer science, with a primary focus on artificial intelligence and its applications in robotics, software engineering, and knowledge representation.

The main fields of study for this scientist include:

  • Computer Science

The subfields of study encompass:

  • Artificial Intelligence
  • Molecular Biology
  • Control and Systems Engineering
  • Mechanical Engineering
  • Software

Key topics explored in their work are:

  • Semantic Web and Ontologies
  • AI-based Problem Solving and Planning
  • Robot Manipulation and Learning
  • Modular Robots and Swarm Intelligence
  • Advanced Software Engineering Methodologies
  • Logic, Reasoning, and Knowledge
  • Model-Driven Software Engineering Techniques

Frequent co-authors with whom they have collaborated include:

  • Angeline Aguinaldo
  • Evan Patterson
  • Jacob Bunker
  • Blake S. Pollard
  • Ankit Shukla

William C. Regli has published in several venues with multiple contributions to some of them:

  • arXiv (Cornell University)
  • IEEE Transactions on Automation Science and Engineering
  • Proceedings of the AAAI Symposium Series

Notable recent papers include:

  • Neuro-Symbolic AI in 2024: A Systematic Review (2025, arXiv (Cornell University))
  • RoboCat: A Category Theoretic Framework for Robotic Interoperability Using Goal-Oriented Programming (2021, IEEE Transactions on Automation Science and Engineering)
  • A Categorical Representation Language and Computational System for Knowledge-Based Robotic Task Planning (2024, Proceedings of the AAAI Symposium Series)
  • Encoding Compositionality in Classical Planning Solutions (2021, arXiv (Cornell University))
  • Alternative Paradigms of Computation (2021, arXiv (Cornell University))

Their recognitions include:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • IEEE Fellow, 2017, for contributions to 3D search, design repositories and intelligent manufacturing
  • ACM Senior Member, 2008

Best Publications

  • Manufacturing feature recognition from solid models: a status report

    JungHyun Han;M. Pratt;W.C. Regli

  • A Survey of Design Rationale Systems: Approaches, Representation, Capture and Retrieval

    William C. Regli;Xiaochun Hu;Michael E. Atwood;Wei Sun

  • The role of knowledge in next-generation product development systems

    Simon Szykman;Ram D. Sriram;William C. Regli

  • DAMLJessKB: a tool for reasoning with the semantic web

    Joseph B. Kopena;William C. Regli

  • Using shape distributions to compare solid models

    Cheuk Yiu Ip;Daniel Lapadat;Leonard Sieger;William C. Regli

  • Managing digital libraries for computer-aided design

    William C. Regli;Vincent A. Cicirello

  • Automated manufacturability analysis: a survey

    Satyandra K. Gupta;Diganta Das;William C. Regli;Dana S. Nau

  • Machining feature-based comparisons of mechanical parts

    V. Cicirello;W.C. Regli

  • Feature-based similarity assessment of solid models

    Alexei Elinson;Dana S. Nau;William C. Regli

  • Extracting alternative machining features: An algorithmic approach

    William C. Regli;Satyandra K. Gupta;Dana S. Nau

  • Geometric algorithms for recognition of features from solid models

    William Clement Regli

  • Internet-enabled computer aided design

    W.C. Regli

  • REEB GRAPH BASED SHAPE RETRIEVAL FOR CAD

    Dmitriy Bespalov;William C. Regli;Ali Shokoufandeh

  • Local feature extraction and matching partial objects

    Dmitriy Bespalov;William C. Regli;Ali Shokoufandeh

  • System and method for secure ad hoc mobile communications and applications

    William C. Regli;Kam Moshe

  • AI planning versus manufacturing-operation planning: a case study

    Dana S. Nau;Satyandra K. Gupta;William C. Regli

  • Automated learning of model classifications

    Cheuk Yiu Ip;William C. Regli;Leonard Sieger;Ali Shokoufandeh

  • Role-Based Viewing Envelopes for Information Protection in Collaborative Modeling

    Christopher D. Cera;Tawseong Kim;Jung Hyun Han;William C. Regli

  • Computer-aided design of porous artifacts

    Craig A. Schroeder;William C. Regli;Ali Shokoufandeh;Wei Sun

  • Database techniques for archival of solid models

    David McWherter;Mitchell Peabody;Ali C. Shokoufandeh;William Regli

Frequent Co-Authors

Dana S. Nau
Dana S. Nau University of Maryland, College Park
Satyandra K. Gupta
Satyandra K. Gupta University of Southern California
Ali Shokoufandeh
Ali Shokoufandeh Drexel University
Wei Sun
Wei Sun Drexel University
Kemper Lewis
Kemper Lewis University at Buffalo, State University of New York
Robert Stone
Robert Stone Oregon State University
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Boon Thau Loo
Boon Thau Loo University of Pennsylvania
Jarek Rossignac
Jarek Rossignac Georgia Institute of Technology
Makoto Yokoo
Makoto Yokoo Kyushu University

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