World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6657
World Ranking
9319
National Ranking
287

Lin Padgham 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 Lin Padgham 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: 206 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Lin Padgham 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 Lin Padgham 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Lin Padgham is affiliated with RMIT University in Australia, where their research spans multiple areas within social sciences and engineering. Their work primarily focuses on the intersection of demographic modeling, human mobility, and transportation systems, integrating interdisciplinary approaches to address complex societal and environmental challenges.

Padgham's main fields of study include:

  • Social Sciences
  • Engineering

Their subfields of study further specify areas such as:

  • Ocean Engineering
  • Transportation
  • Demography
  • Statistical and Nonlinear Physics
  • Automotive Engineering

Their research topics cover multiple aspects of human and environmental interaction, including:

  • Evacuation and Crowd Dynamics
  • Opinion Dynamics and Social Influence
  • Human Mobility and Location-Based Analysis
  • Transportation Planning and Optimization
  • Transportation and Mobility Innovations
  • Demographic Modeling and Climate Adaptation
  • Insurance, Mortality, Demography, Risk Management

Padgham has contributed to the scholarly community through publications in various venues. Notable frequent publication venues include:

  • Computers Environment and Urban Systems
  • arXiv (Cornell University)

Two recent papers illustrate the scope of their work:

  • "Multi-level simulation of the physical, cognitive and social," 2022, Computers Environment and Urban Systems
  • "Building a large synthetic population from Australian census data," 2020, arXiv (Cornell University)

Padgham collaborates frequently with several researchers, with some of their most frequent coauthors being:

  • Dhirendra Singh
  • Chaminda Bulumulla
  • Jeffrey Chan
  • Kai Nagel
  • Bhagya N. Wickramasinghe

Their interdisciplinary emphasis integrates social dynamics with engineering methods to address issues related to evacuation safety, transportation infrastructure, and demographic change. By combining computational simulations with statistical modeling, Padgham explores ways to enhance planning and risk management in urban and environmental contexts.

Best Publications

  • Developing Intelligent Agent Systems: A Practical Guide

    Lin Padgham;Michael Winikoff

  • Prometheus: a methodology for developing intelligent agents

    Lin Padgham;Michael Winikoff

  • Reframing social sustainability reporting: towards an engaged approach

    Liam Magee;Andy Scerri;Paul James;James A. Thom

  • Declarative and procedural goals in intelligent agent systems

    Michael Winikoff;Lin Padgham;James Harland;John Thangarajah

  • Prometheus: a methodology for developing intelligent agents

    Lin Padgham;Michael Winikoff

  • Representation and reasoning for goals in BDI agents

    John Thangarajah;Lin Padgham;James Harland

  • Hierarchical planning in BDI agent programming languages: a formal approach

    Sebastian Sardina;Lavindra de Silva;Lin Padgham

  • Detecting & avoiding interference between goals in intelligent agents

    John Thangarajah;Lin Padgham;Michael Winikoff

  • Debugging multi-agent systems using design artifacts: the case of interaction protocols

    David Poutakidis;Lin Padgham;Michael Winikoff

  • Prometheus: A Pragmatic Methodology for Engineering Intelligent Agents

    Lin Padgham;Michael Winikoff

  • A BDI agent programming language with failure handling, declarative goals, and planning

    Sebastian Sardina;Lin Padgham

  • Non-monotonic inheritance for an object-oriented knowledge-base

    Lin Padgham

  • Simplifying the Development of Intelligent Agents

    Michael Winikoff;Lin Padgham;James Harland

  • Tool support for agent development using the Prometheus methodology

    L. Padgham;John Thangarajah;M. Winikoff

  • Prometheus: a practical agent oriented methodology

    Lin Padgham;Michael Winikoff

  • Detecting & exploiting positive goal interaction in intelligent agents

    John Thangarajah;Lin Padgham;Michael Winikoff

  • Adding debugging support to the Prometheus methodology

    Lin Padgham;Michael Winikoff;David Poutakidis

  • Integrating BDI Agents with Agent-Based Simulation Platforms

    Dhirendra Singh;Lin Padgham;Brian Logan

  • First principles planning in BDI systems

    Lavindra de Silva;Sebastian Sardina;Lin Padgham

  • Avoiding resource conflicts in intelligent agents

    John Thangarajah;Lin Padgham

  • Prometheus design tool

    John Thangarajah;Lin Padgham;Michael Winikoff

Frequent Co-Authors

Michael Winikoff
Michael Winikoff Victoria University of Wellington
Lawrence Cavedon
Lawrence Cavedon RMIT University
Patrick Lambrix
Patrick Lambrix Linköping University
Bernhard Nebel
Bernhard Nebel University of Freiburg
Wei Liu
Wei Liu Tencent (China)
Michael Luck
Michael Luck University of Sussex
Kai Nagel
Kai Nagel Technical University of Berlin
Scott A. DeLoach
Scott A. DeLoach Kansas State University
Tim Miller
Tim Miller University of Queensland
Franco Zambonelli
Franco Zambonelli University of Modena and Reggio Emilia

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