World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6858
World Ranking
9724
National Ranking
607

Dave Cliff 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 Dave Cliff 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: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Dave Cliff 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 Dave Cliff 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Dave Cliff is affiliated with the University of Bristol in the United Kingdom. Their research primarily spans the fields of Economics, Econometrics and Finance, and Social Sciences, with a strong focus on several subfields including Economics and Econometrics, Finance, Sociology and Political Science, Statistical and Nonlinear Physics, and Management Science and Operations Research.

The main research topics covered in Dave Cliff's work include:

  • Complex Systems and Time Series Analysis
  • Financial Markets and Investment Strategies
  • Evolutionary Game Theory and Cooperation
  • Opinion Dynamics and Social Influence
  • Economic theories and models
  • Sports Analytics and Performance
  • Mathematical and Theoretical Epidemiology and Ecology Models

They have contributed to a variety of publication venues, most frequently appearing in the following:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • 2022 IEEE Symposium Series on Computational Intelligence (SSCI)
  • Chaos Solitons & Fractals
  • bioRxiv (Cold Spring Harbor Laboratory)

Recent representative papers authored by Dave Cliff include:

  • Metapopulation Differential Co-Evolution of Trading Strategies in a Model Financial Market, 2022, 2022 IEEE Symposium Series on Computational Intelligence (SSCI)
  • Parameterised response zero intelligence traders, 2023, Journal of Economic Interaction and Coordination
  • Technical Note: Parameterised-Response Zero-Intelligence (PRZI) Traders, 2021, SSRN Electronic Journal
  • On long-term species coexistence in five-species evolutionary spatial cyclic games with ablated and non-ablated dominance networks, 2024, Chaos Solitons & Fractals

Throughout their career, Dave Cliff has collaborated with several frequent coauthors, including:

  • Charlie Figuero
  • Arwa Bokhari
  • Rasa Guzelyte
  • Nik Alexandrov
  • Michael D. Rollins

Their research often integrates agent-based modeling, evolutionary dynamics, and computational intelligence techniques to explore adaptive behaviors in financial markets, cooperation in evolutionary games, opinion dynamics, and the co-evolution of social and economic systems. This interdisciplinary approach links theoretical models with empirical observations across economics, finance, and social sciences.

Best Publications

  • Explorations in evolutionary robotics

    Dave Cliff;Phil Husbands;Inman Harvey

  • Evolutionary Robotics: the Sussex Approach

    Inman Harvey;Phil Husbands;Dave Cliff;Adrian Thompson

  • Seeing the light: artificial evolution, real vision

    Inman Harvey;Phil Husbands;Dave Cliff

  • Challenges in evolving controllers for physical robots

    Maja J. Matarić;David Cliff

  • Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations

    Dave Cliff;Geoffrey F. Miller

  • Issues in evolutionary robotics

    Inman Harvey;Philip Husbands;Dave Cliff

  • Large-scale complex IT systems

    Ian Sommerville;Dave Cliff;Radu Calinescu;Justin Keen

  • Strategic bidding in continuous double auctions

    P. Vytelingum;D. Cliff;N. R. Jennings

  • Creatures: artificial life autonomous software agents for home entertainment

    Stephen Grand;Dave Cliff;Anil Malhotra

  • Adding temporary memory to ZCS

    Dave Cliff;Susi Ross

  • Zero is Not Enough: On The Lower Limit of Agent Intelligence For Continuous Double Auction Markets†

    Dave Cliff;Janet Bruten

  • A financial brokerage model for cloud computing

    Owen R Rogers;Dave Cliff

  • Evolving visually guided robots

    Dave Cliff;Philip Husbands;Inman Harvey

  • Monitoring of user response to performances

    Timothy Alan Heath Wilkinson;David Trevor Cliff

  • Protean behavior in dynamic games: arguments for the co-evolution of pursuit-evasion tactics

    Geoffrey F. Miller;Dave Cliff

  • Creatures: Entertainment Software Agents with Artificial Life

    Stephen Grand;Dave Cliff

  • Computational neuroethology: a provisional manifesto

    Dave Cliff

  • Monitoring the reaction of people to a performance

    Cliff David Trevor;Wilkinson Timothy Alan

  • Incremental evolution of neural network architectures for adaptive behavior.

    Dave Cliff;Inman Harvey;Phil Husbands

  • Explorations in evolutionary design of online auction market mechanisms

    Dave Cliff

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