World's Best Scientists 2026 revealed!
Sheila A. McIlraith

Sheila A. McIlraith

D-Index & Metrics

Computer Science

D-Index
58
Citations
18860
World Ranking
3556
National Ranking
139

Sheila A. McIlraith 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 Sheila A. McIlraith 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Sheila A. McIlraith 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 Sheila A. McIlraith 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: 58 D-Index — 75th percentile

75% 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

  • 2019 - ACM Fellow For contributions to knowledge representation and its applications to automated planning and semantic web services
  • 2011 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to knowledge representation, reasoning about action, and the formal foundations of the semantic web and diagnostic problem solving.

Overview

Sheila A. McIlraith is affiliated with the University of Toronto in Canada and specializes in the field of Computer Science, with a focus on Artificial Intelligence.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Information Systems
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Key topics of their work encompass:

  • Reinforcement Learning in Robotics
  • AI-based Problem Solving and Planning
  • Logic, Reasoning, and Knowledge
  • Formal Methods in Verification
  • Multi-Agent Systems and Negotiation
  • Artificial Intelligence in Games
  • Topic Modeling

Notable recent publications include:

  • Managing extreme AI risks amid rapid progress, 2024, Science
  • Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning, 2022, Journal of Artificial Intelligence Research
  • Symbolic Plans as High-Level Instructions for Reinforcement Learning, 2020, Proceedings of the International Conference on Automated Planning and Scheduling
  • Non-Markovian Rewards Expressed in LTL: Guiding Search Via Reward Shaping, 2021, Proceedings of the International Symposium on Combinatorial Search
  • Embedding Ethics in Computer Science Courses, 2022, Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

Frequent coauthors include:

  • Toryn Q. Klassen
  • Rodrigo Toro Icarte
  • Andrew C. Li
  • Maayan Shvo
  • Pouya Shati

Publication venues where they have been frequently published are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the International Symposium on Combinatorial Search
  • Artificial Intelligence
  • Journal of Artificial Intelligence Research

Sheila A. McIlraith has authored books published by the Association for Computing Machinery, including:

  • Embedded Ethics: Pandemic Exposure Notification Systems and Giving Ethical Justifications, 2024
  • Embedded Ethics: Pandemic Contact Tracing and Ethical Trade-offs, 2024

Their work has been recognized through several awards, notably:

  • ACM Fellow, 2019, for contributions to knowledge representation and its applications to automated planning and semantic web services
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2011, for significant contributions to knowledge representation, reasoning about action, and the formal foundations of the semantic web and diagnostic problem solving

Best Publications

  • Semantic Web services

    S.A. McIlraith;T.C. Son;Honglei Zeng

  • DAML-S: semantic markup for web services

    Anupriya Ankolekar;Mark Burstein;Jerry R. Hobbs;Ora Lassila

  • Simulation, verification and automated composition of web services

    Srini Narayanan;Sheila A. McIlraith

  • Adapting Golog for Composition of Semantic Web Services

    Sheila A. McIlraith;Tran Cao Son

  • DAML-S: Web Service Description for the Semantic Web

    Mark H. Burstein;Jerry R. Hobbs;Ora Lassila;David Martin

  • Bringing semantics to web services: the OWL-S approach

    David Martin;Massimo Paolucci;Sheila McIlraith;Mark Burstein

  • Bringing Semantics to Web Services with OWL-S

    David Martin;Mark Burstein;Drew Mcdermott;Sheila Mcilraith

  • DAML-S: A Semantic Markup Language For Web Services

    Anupriya Ankolenkar;Mark Burstein;Jerry Hobbs;Ora Lassila

  • Bringing semantics to Web services

    S.A. McIlraith;D.L. Martin

  • Adapting BPEL4WS for the semantic web: the bottom-up approach to web service interoperation

    Daniel J. Mandell;Sheila A. McIlraith

  • Web service composition as planning

    Mark Carman;Jose Luis Ambite;Luciano Serafini;Craig Knoblock

  • Analysis and simulation of Web services

    Srini Narayanan;Sheila McIlraith

  • A heuristic search approach to planning with temporally extended preferences

    Jorge A. Baier;Fahiem Bacchus;Sheila A. McIlraith

  • Partition-based logical reasoning for first-order and propositional theories

    Eyal Amir;Sheila McIlraith

  • Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning.

    Rodrigo Toro Icarte;Toryn Q. Klassen;Richard Anthony Valenzano;Sheila A. McIlraith

  • LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning

    Alberto Camacho;Rodrigo Toro Icarte;Toryn Q. Klassen;Richard Anthony Valenzano

  • Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning

    Rodrigo Toro Icarte;Toryn Q. Klassen;Richard Anthony Valenzano;Sheila A. McIlraith

  • Representing and reasoning about preferences in requirements engineering

    Sotirios Liaskos;Sheila A. McIlraith;Shirin Sohrabi;John Mylopoulos

  • Improved non-deterministic planning by exploiting state relevance

    Christian Muise;Sheila A. McIlraith;J. Christopher Beck

  • Planning with first-order temporally extended goals using heuristic search

    Jorge A. Baier;Sheila A. Mcilraith

Frequent Co-Authors

J. Christopher Beck
J. Christopher Beck University of Toronto
Chitta Baral
Chitta Baral Arizona State University
Katia Sycara
Katia Sycara Carnegie Mellon University
Massimo Paolucci
Massimo Paolucci NTT (Japan)
John Mylopoulos
John Mylopoulos University of Ottawa
Hector J. Levesque
Hector J. Levesque University of Toronto
Terry R. Payne
Terry R. Payne University of Liverpool
Richard Hull
Richard Hull Spring Hills Foundation
Frank van Harmelen
Frank van Harmelen Vrije Universiteit Amsterdam
Barbara Pernici
Barbara Pernici Polytechnic University of Milan

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