World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
12317
World Ranking
4537
National Ranking
274

Jon Timmis 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 Jon Timmis 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: 310 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Jon Timmis 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 Jon Timmis 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Jon Timmis is affiliated with the University of Sunderland in the United Kingdom. Their research spans multiple domains within computer science and engineering, with a focus on artificial intelligence, mechanical engineering, software, and immunology. Their scholarly contributions cover a range of topics including modular robots and swarm intelligence, evolutionary algorithms and applications, reinforcement learning in robotics, metaheuristic optimization algorithms, and immunological studies related to T-cell and B-cell functionality.

The scientist's recent publications demonstrate a varied research interest that intersects robotics, artificial intelligence, and immunology. Some notable papers include:

  • B cell zone reticular cell microenvironments shape CXCL13 gradient formation (2020, Nature Communications)
  • Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies (2022, Swarm and Evolutionary Computation)
  • Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism (2022, IEEE Transactions on Cognitive and Developmental Systems)
  • Bootstrapping Artificial Evolution to Design Robots for Autonomous Fabrication (2020, Robotics)
  • Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces (2023, IEEE Transactions on Evolutionary Computation)

Timmis has published extensively in several venues, with a concentration in robotics and artificial intelligence focused journals and conferences. Frequently appearing publication venues include:

  • Robotics
  • Frontiers in Robotics and AI
  • Software & Systems Modeling
  • arXiv (Cornell University)
  • Nature Communications

The scientist has collaborated regularly with several co-authors over their career. Frequent collaborators include Andy M. Tyrrell, Edgar Buchanan, Emma Hart, A. E. Eiben, and Alan Winfield. These collaborative efforts reflect interdisciplinary work at the intersection of AI, evolutionary computation, and robotics.

Jon Timmis's expertise is demonstrated through their contributions to core fields such as computer science and engineering, with notable specialization in:

  • Artificial Intelligence
  • Mechanical Engineering
  • Software
  • Immunology
  • Computational Theory and Mathematics

The main research themes in their work include:

  • Modular Robots and Swarm Intelligence
  • Evolutionary Algorithms and Applications
  • Reinforcement Learning in Robotics
  • Metaheuristic Optimization Algorithms Research
  • T-cell and B-cell Immunology
  • Immunotherapy and Immune Responses
  • Chemokine receptors and signaling

Best Publications

  • An artificial immune network for multimodal function optimization

    L.N. de Castro;J. Timmis

  • Artificial immune systems as a novel soft computing paradigm

    L. N. De Castro;J. I. Timmis

  • An artificial immune system for data analysis

    Jon Timmis;Mark Neal;John Hunt

  • Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm

    Andrew Watkins;Jon Timmis;Lois Boggess

  • Theoretical advances in artificial immune systems

    J. Timmis;A. Hone;T. Stibor;E. Clark

  • Artificial Immune Systems: A Novel Approach to Pattern Recognition

    Leandro N. de Castro;Jon Timmis

  • An Immune Algorithm for Protein Structure Prediction on Lattice Models

    V. Cutello;G. Nicosia;M. Pavone;J. Timmis

  • Negative Selection: How to Generate Detectors

    Modupe Ayara;Jon Timmis;Rogério de Lemos;Leandro N. de Castro

  • Immune inspired somatic contiguous hypermutation for function optimisation

    Johnny Kelsey;Jon Timmis

  • Artificial immune systems---today and tomorrow

    Jon Timmis

  • Artificial Immune Systems: A New Computational Approach

    Leandro N. de Castro;Jon Timmis

  • Revisiting the Foundations of Artificial Immune Systems for Data Mining

    A.A. Freitas;J. Timmis

  • Artificial Immune Recognition System (AIRS): Revisions and Refinements

    Andrew Watkins;Jon Timmis

  • An Overview of Artificial Immune Systems

    J. Timmis;T. Knight;L. N. de Castro;E. Hart

  • AISEC: an artificial immune system for e-mail classification

    A. Secker;A.A. Freitas;J. Timmis

  • CoCoRo -- The Self-Aware Underwater Swarm

    Thomas Schmickl;Ronald Thenius;Christoph Moslinger;Jon Timmis

  • Towards a Conceptual Framework for Artificial Immune Systems

    Susan Stepney;Robert E. Smith;Jonathan Timmis;Andrew M. Tyrrell

  • Journeys in non-classical computation I: A grand challenge for computing research

    Susan Stepney;Samuel L. Braunstein;John A. Clark;Andrew M. Tyrrell

  • On the hierarchical classification of G protein-coupled receptors

    Matthew N. Davies;Andrew Secker;Alex A. Freitas;Miguel Mendao

  • Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective

    Alex Alves Freitas;Jon Timmis

  • Application areas of AIS: the past, present and future.

    Emma Hart;Jon Timmis

Frequent Co-Authors

Andy M. Tyrrell
Andy M. Tyrrell University of York
Mark Coles
Mark Coles University of Oxford
Alex A. Freitas
Alex A. Freitas University of Kent
Alan F. T. Winfield
Alan F. T. Winfield University of the West of England
Peter J. Bentley
Peter J. Bentley University College London
Vipin Kumar
Vipin Kumar University of California, San Diego
Darren R. Flower
Darren R. Flower Aston University
Susan Stepney
Susan Stepney University of York
A. E. Eiben
A. E. Eiben Vrije Universiteit Amsterdam
Paul M. Kaye
Paul M. Kaye Hull York Medical School

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