World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
31
Citations
6437
World Ranking
9640
National Ranking
602

Austin Tate publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Austin Tate sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 208 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Austin Tate D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Austin Tate sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 31 D-Index — 2nd percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Austin Tate is affiliated with the University of Edinburgh in the United Kingdom. Their research mainly spans the field of Computer Science, with a specific focus on the subfield of Artificial Intelligence.

The primary topics covered in their work include:

  • Semantic Web and Ontologies
  • AI-based Problem Solving and Planning
  • Multi-Agent Systems and Negotiation

Their recent scholarly output includes the paper titled Semantic Based Support for Planning Information Delivery in Human-agent Collaborative Teams, published in 2020. This work appeared in the TUGraz OPEN Library, affiliated with Graz University of Technology.

Collaborative research is part of their activity, with frequent coauthors including Natasha Queiroz Lino and Clauirton de Albuquerque Siebra, each contributing to one publication alongside Tate.

The TUGraz OPEN Library (Graz University of Technology) represents the publication venue associated with their recent paper, demonstrating engagement with this academic outlet.

Best Publications

  • Generating project networks

    Austin Tate

  • Applying KAoS services to ensure policy compliance for semantic web services workflow composition and enactment

    Andrzej Uszok;Jeffrey M. Bradshaw;Renia Jeffers;Austin Tate

  • O-Plan: the open planning architecture

    Ken Currie;Austin Tate

  • Readings in Planning

    Austin Tate;James Hendler;James Allen

  • KAoS policy management for semantic Web services

    A. Uszok;J.M. Bradshaw;M. Johnson;R. Jeffers

  • AI planning: systems and techniques

    James Hendler;Austin Tate;Mark Drummond

  • Guest Editors' Introduction: Ontologies

    William Swartout;Austin Tate

  • The Process Interchange Format and Framework

    Jintae Lee;Michael Gruninger;Yan Jin;Thomas Malone

  • A Review of AI Planning Techniques

    Austin Tate;James A. Hendler;Mark Drummond

  • Interacting goals and their use

    Austin Tate

  • The PIF Process Interchange Format and Framework

    Jintae Lee;Michael Gruninger;Yan Jin;Thomas Malone

  • Roots of SPAR — Shared Planning and Activity Representation

    Austin Tate

  • Process Specification Language: An Analysis of Existing Representations

    Amy Knutilla;Craig Schlenoff;Steven Ray;Stephen T Polyak

  • A Review of knowledge-based planning techniques

    Austin Tate

  • Coalition Agents Experiment: multiagent cooperation in international coalitions

    D.N. Allsopp;P. Beautement;M. Kirton;J.M. Bradshaw

  • O Plan an Open Architecture for Command Planning and Control

    Austin Tate;Brian Drabble;Richard Kirby

  • CoAKTinG: Collaborative Advanced Knowledge Technologies in the Grid

    Simon Buckingham Shum;David De Roure;Marc Eisenstadt;Nigel Shadbolt

  • FireGrid: An e-infrastructure for next-generation emergency response support

    Liangxiu Han;Stephen Potter;George Beckett;Gavin Pringle

  • Constraints and AI planning

    A. Nareyek;E.C. Freuder;R. Fourer;E. Giunchiglia

  • Coalition Agents Experiment: Multi-Agent Co-operation in an International Coalition Setting

    D.N Allsopp;P Beautement;J M Bradshaw;E H Durfee

  • FireGrid: Integrated emergency response and fire safety engineering for the future built environment

    Dave Berry;Asif Usmani;Jose L Torero;Austin Tate

  • O-Plan: a Knowledge-Based Planner and its Application to Logistics

    Austin Tate;Brian Drabble;Jeff Dalton

  • Representing plans as a set of constraints — the model

    Austin Tate

  • Putting ontologies to use

    Mike Uschold;Austin Tate

  • A measure of intelligence

    Austin Tate

Frequent Co-Authors

Jeffrey M. Bradshaw
Jeffrey M. Bradshaw Florida Institute for Human and Machine Cognition
Nigel Shadbolt
Nigel Shadbolt University of Oxford
David De Roure
David De Roure University of Oxford
Michael Gruninger
Michael Gruninger University of Toronto
James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
Alun Preece
Alun Preece Cardiff University
Simon Buckingham Shum
Simon Buckingham Shum University of Technology Sydney
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Jose L. Torero
Jose L. Torero University College London
Asif Usmani
Asif Usmani Hong Kong Polytechnic University

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