World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5888
World Ranking
13438
National Ranking
854

Paul E. Dunne 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 Paul E. Dunne 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: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Paul E. Dunne 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 Paul E. Dunne 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Paul E. Dunne is affiliated with the University of Liverpool in the United Kingdom and works primarily within the field of computer science. Their research focuses extensively on artificial intelligence, with notable contributions in management science and operations research, alongside interdisciplinary interests that include nature and landscape conservation, oceanography, and environmental chemistry.

The scientist's publication record includes various papers published in established venues such as Argument & Computation, SSRN Electronic Journal, Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Artificial Intelligence, and the TUGraz OPEN Library at Graz University of Technology. Their research spans multiple topics, demonstrating a breadth of inquiry within and adjacent to computer science.

Recent peer-reviewed works include:

  • Phytoplankton dynamics along a complex coastal river gradient using a three-dimensional trait-threshold based model (2025, SSRN Electronic Journal)
  • The Average Case Performance of an Algorithm for Demand-Driven Evaluation of Boolean Formulae (2020, Zenodo - CERN European Organization for Nuclear Research)
  • Characterizing strongly admissible sets (2020, Argument & Computation)
  • Delegating Decisions in Strategic Settings (2020, IEEE Transactions on Artificial Intelligence)
  • JUCS - Journal of Universal Computer Science (2020, TUGraz OPEN Library - Graz University of Technology)

The coauthors with whom they have collaborated most frequently include Martin Caminada, Hoang Vuong Dang, Kermode Stephanie, Peisheng Huang, and Kaushal Kumandur. This network reflects interdisciplinary collaborations that bridge computer science with applied environmental and operational research domains.

Key research topics covered by Paul E. Dunne include:

  • Multi-Agent Systems and Negotiation
  • Logic, Reasoning, and Knowledge
  • Semantic Web and Ontologies
  • Fish Ecology and Management Studies
  • Marine and Coastal Ecosystems
  • Soil and Water Nutrient Dynamics
  • Game Theory and Applications

Their frequent publication venues are:

  • Argument & Computation
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Artificial Intelligence
  • TUGraz OPEN Library (Graz University of Technology)

Overall, the scientist contributes to interdisciplinary research that intersects computational methods and environmental systems. Their work on multi-agent systems, reasoning frameworks, and ecological modeling highlights a combination of theoretical and applied research interests within computer science and beyond.

Best Publications

  • Argumentation in artificial intelligence

    T. J. M. Bench-Capon;Paul E. Dunne

  • Issues in multiagent resource allocation

    Yann Chevaleyre;Paul E. Dunne;Ulle Endriss;Jerome Lang

  • Weighted argument systems: Basic definitions, algorithms, and complexity results

    Paul E. Dunne;Anthony Hunter;Peter McBurney;Simon Parsons

  • Coherence in finite argument systems

    Paul E. Dunne;T J. M. Bench-Capon

  • Characteristics of multiple viewpoints in abstract argumentation

    Paul E. Dunne;Wolfgang Dvořák;Thomas Linsbichler;Stefan Woltran

  • Semi-stable semantics

    Martin W. A. Caminada;Walter A. Carnielli;Paul E. Dunne

  • Complexity of Abstract Argumentation

    Paul E. Dunne;Michael J. Wooldridge

  • Computational properties of argument systems satisfying graph-theoretic constraints

    Paul E. Dunne

  • The Complexity of Boolean Networks

    P. E. Dunne

  • Computational Problems in Formal Argumentation and their Complexity.

    Wolfgang Dvorák;Paul E. Dunne

  • Audiences in argumentation frameworks

    Trevor J. M. Bench-Capon;Sylvie Doutre;Paul E. Dunne

  • Two party immediate response disputes: properties and efficiency

    Paul E. Dunne;T. J. M. Bench-Capon

  • The complexity of contract negotiation

    Paul E. Dunne;Michael Wooldridge;Michael Laurence

  • On the computational complexity of coalitional resource games

    Michael Wooldridge;Paul E. Dunne

  • The computational complexity of ideal semantics

    Paul E. Dunne

  • On the computational complexity of qualitative coalitional games

    Michael Wooldridge;Paul E. Dunne

  • Cooperative Boolean games

    Paul E. Dunne;Wiebe van der Hoek;Sarit Kraus;Michael Wooldridge

  • Characteristics of multiple viewpoints in abstract argumentation

    Paul E. Dunne;Wolfgang Dvořák;Thomas Linsbichler;Stefan Woltran

  • DNA Simulation of Boolean Circuits

    Martyn Amos;Paul E. Dunne;Alan Gibbons

  • Inconsistency tolerance in weighted argument systems

    Paul E. Dunne;Anthony Hunter;Peter McBurney;Simon Parsons

  • Algorithms for decision problems in argument systems under preferred semantics

    Samer Nofal;Katie Atkinson;Paul E. Dunne

  • On the Instantiation of Knowledge Bases in Abstract Argumentation Frameworks

    Adam Wyner;Trevor Bench-Capon;Paul Dunne

Frequent Co-Authors

Trevor J. M. Bench-Capon
Trevor J. M. Bench-Capon University of Liverpool
Michael Wooldridge
Michael Wooldridge University of Oxford
Peter McBurney
Peter McBurney King's College London
Wiebe van der Hoek
Wiebe van der Hoek University of Liverpool
Simon Parsons
Simon Parsons University of Lincoln
Jérôme Lang
Jérôme Lang Paris Dauphine University
Sarit Kraus
Sarit Kraus Bar-Ilan University
Anthony Hunter
Anthony Hunter University College London
Ulle Endriss
Ulle Endriss University of Amsterdam

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