World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
4541
World Ranking
12231
National Ranking
776

Mike Holcombe 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 Mike Holcombe 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: 165 publications — 33rd percentile

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

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

Mike Holcombe 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 Mike Holcombe 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Mike Holcombe is affiliated with the University of Sheffield in the United Kingdom. Their research contributions span various interdisciplinary areas, focusing particularly on computational and biological systems.

Their recent publications cover a range of topics and venues, highlighting work in modeling, complex systems, and biological interactions. Notable papers include:

  • "Communicating Stream X-Machines Systems are no more than X-Machines" (2020), published in TUGraz OPEN Library (Graz University of Technology)
  • "No entry signal in ant foraging (Hymenoptera: Formicidae): new insights from an agent-based model" (2024), published in OPAL (Open@LaTrobe) (La Trobe University)
  • "Agent-Based Modeling of Complex Molecular Systems" (2022), published in Methods in molecular biology
  • "Large-Scale Modeling of Economic Systems" (2024), published by Technischen Universität Darmstadt

Frequent co-authors collaborating with Holcombe include Tudor Bălănescu, Anthony J. Cowling, Horia Georgescu, Marian Gheorghe, and Cristina Vertan.

The research appears in a variety of publication venues, reflecting an interdisciplinary approach:

  • TUGraz OPEN Library (Graz University of Technology)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Methods in molecular biology
  • Technischen Universität Darmstadt

Holcombe's work intersects several subfields of study such as Genetics, Sociology and Political Science, Oncology, Molecular Biology, and Computational Theory and Mathematics. This breadth indicates involvement in both the natural sciences and computational modeling.

The main topics addressed in Holcombe's research include:

  • Insect and Arachnid Ecology and Behavior
  • Evolutionary Game Theory and Cooperation
  • Cytokine Signaling Pathways and Interactions
  • Viral Infectious Diseases and Gene Expression in Insects
  • Computational Drug Discovery Methods
  • Complex Systems and Time Series Analysis

Overall, Mike Holcombe's profile shows engagement with agent-based modeling, complex biological systems, and ecological dynamics, reflecting a diverse methodological framework applied to biological and economic systems.

Best Publications

  • Correct Systems: Building a Business Process Solution

    Mike Holcombe;Florentin Ipate

  • The epitheliome: agent-based modelling of the social behaviour of cells.

    D.C. Walker;J. Southgate;G. Hill;M. Holcombe

  • Formal agent-based modelling of intracellular chemical interactions

    Mark Pogson;Rod Smallwood;Eva Qwarnstrom;Mike Holcombe

  • X-machines as a basis for dynamic system specification

    M. Holcombe

  • Extreme Programming and Agile Processes in Software Engineering

    Hubert Baumeister;Michele Marchesi;Mike Holcombe

  • An integration testing method that is proved to find all faults

    Florentin Ipate;Mike Holcombe

  • Development of a Three Dimensional Multiscale Computational Model of the Human Epidermis

    Salem Adra;Tao Sun;Sheila MacNeil;Mike Holcombe

  • The state problem for evolutionary testing

    Phil McMinn;Mike Holcombe

  • FLAME: simulating large populations of agents on parallel hardware architectures

    Mariam Kiran;Paul Richmond;Mike Holcombe;Lee Shawn Chin

  • Communicating Stream X-Machines Systems are no more than X-Machines.

    Tudor Balanescu;Anthony J. Cowling;Horia Georgescu;Marian Gheorghe

  • Reverse Engineering State Machines by Interactive Grammar Inference

    N. Walkinshaw;K. Bogdanov;M. Holcombe;S. Salahuddin

  • Exploitation of High Performance Computing in the FLAME Agent-Based Simulation Framework

    Simon Coakley;Marian Gheorghe;Mike Holcombe;Shawn Chin

  • Longevity and detection of persistent foraging trails in Pharaoh's ants Monomorium Pharaonis (L.)

    Duncan E. Jackson;Stephen J. Martin;Mike Holcombe;Francis L.W. Ratnieks

  • Introducing Spatial Information into Predictive NF-κB Modelling – An Agent-Based Approach

    Mark Pogson;Mike Holcombe;Rod Smallwood;Eva Qwarnstrom

  • Empirical investigation towards the effectiveness of Test First programming

    Liang Huang;Mike Holcombe

  • Modelling complex biological systems using an agent-based approach

    Mike Holcombe;Salem Adra;Mesude Bicak;Shawn Chin

  • A study into the effects of personality type and methodology on cohesion in software engineering teams

    J. S. Karn;S. Syed-Abdullah;A. J. Cowling;M. Holcombe

  • Exploring Hypotheses of the Actions of TGF-β1 in Epidermal Wound Healing Using a 3D Computational Multiscale Model of the Human Epidermis

    Tao Sun;Salem Adra;Rod Smallwood;Mike Holcombe

  • Evolutionary Testing Using an Extended Chaining Approach

    P. McMinn;M. Holcombe

  • Statechart testing method for aircraft control systems

    Kirill Bogdanov;Mike Holcombe

  • Evolutionary testing of state-based programs

    Phil McMinn;Mike Holcombe

  • Information Processing in Cells and Tissues

    Mike Holcombe;Ray Paton

Frequent Co-Authors

Francis L. W. Ratnieks
Francis L. W. Ratnieks University of Sussex
Phil McMinn
Phil McMinn University of Sheffield
Sheila MacNeil
Sheila MacNeil University of Sheffield
Jeffrey Green
Jeffrey Green University of Sheffield
Robert K. Poole
Robert K. Poole University of Sheffield
Steven K. Dower
Steven K. Dower CSL (Australia)
Marco Raberto
Marco Raberto University of Genoa
Herbert Dawid
Herbert Dawid Bielefeld University
Jennifer Southgate
Jennifer Southgate University of York
Guillermo Velasco
Guillermo Velasco Complutense University of Madrid

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