World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10369
World Ranking
6136
National Ranking
192

Jon Whittle 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 Whittle 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: 232 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Jon Whittle 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 Whittle 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Jon Whittle is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research primarily falls within the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Information Systems, Safety Research, Health Informatics, and Information Systems and Management.

The topics covered by Jon Whittle's work include:

  • Ethics and Social Impacts of AI
  • Artificial Intelligence in Healthcare and Education
  • Software Engineering Techniques and Practices
  • Adversarial Robustness in Machine Learning
  • Technology Adoption and User Behaviour
  • ICT in Developing Communities
  • Innovation and Socioeconomic Development

Jon Whittle's recent publications include:

  • The impact of a STEM-based entrepreneurship program on the entrepreneurial intention of secondary school female students (2021, International Entrepreneurship and Management Journal)
  • AI Ethics Principles in Practice: Perspectives of Designers and Developers (2023, IEEE Transactions on Technology and Society)
  • Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering (2023, ACM Computing Surveys)
  • Human Values in Software Engineering: Contrasting Case Studies of Practice (2020, IEEE Transactions on Software Engineering)
  • How secondary school girls perceive Computational Thinking practices through collaborative programming with the micro:bit (2021, Journal of Systems and Software)

Their frequent co-authors include Mojtaba Shahin, Harsha Perera, Waqar Hussain, Rifat Ara Shams, and Arif Nurwidyantoro.

Jon Whittle's work is often published in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Software
  • Journal of Systems and Software
  • IEEE Transactions on Software Engineering

Best Publications

  • Software Engineering for Self-Adaptive Systems: A Research Roadmap

    Betty H. Cheng;Rogério Lemos;Holger Giese;Paola Inverardi

  • Generating statechart designs from scenarios

    Jon Whittle;Johann Schumann

  • Empirical assessment of MDE in industry

    John Hutchinson;Jon Whittle;Mark Rouncefield;Steinar Kristoffersen

  • The State of Practice in Model-Driven Engineering

    Jon Whittle;John Hutchinson;Mark Rouncefield

  • RELAX: Incorporating Uncertainty into the Specification of Self-Adaptive Systems

    Jon Whittle;Pete Sawyer;Nelly Bencomo;Betty H.C. Cheng

  • A Goal-Based Modeling Approach to Develop Requirements of an Adaptive System with Environmental Uncertainty

    Betty H. Cheng;Pete Sawyer;Nelly Bencomo;Jon Whittle

  • Requirements-Aware Systems: A Research Agenda for RE for Self-adaptive Systems

    Pete Sawyer;Nelly Bencomo;Jon Whittle;Emmanuel Letier

  • Model-driven engineering practices in industry

    John Hutchinson;Mark Rouncefield;Jon Whittle

  • RELAX: a language to address uncertainty in self-adaptive systems requirement

    Jon Whittle;Pete Sawyer;Nelly Bencomo;Betty H. C. Cheng

  • Model-driven engineering practices in industry

    John Hutchinson;Jon Whittle;Mark Rouncefield

  • Model composition in product lines and feature interaction detection using critical pair analysis

    Praveen Jayaraman;Jon Whittle;Ahmed M. Elkhodary;Hassan Gomaa

  • Requirements reflection: requirements as runtime entities

    Nelly Bencomo;Jon Whittle;Pete Sawyer;Anthony Finkelstein

  • Industrial Adoption of Model-Driven Engineering: Are the Tools Really the Problem?

    Jon Whittle;John Hutchinson;Mark Rouncefield;Håkan Burden

  • Modeling and composing scenario-based requirements with aspects

    J. Araujo;J. Whittle;Dae-Kyoo Kim

  • Scenario modelling with aspects

    Jon Whittle;João Araújo

  • The relevance of model-driven engineering thirty years from now

    Gunter Mussbacher;Daniel Amyot;Ruth Breu;Jean-Michel Bruel

  • A survey of approaches for verifying model transformations

    Lukman Ab. Rahim;Jon Whittle

  • MATA: A Unified Approach for Composing UML Aspect Models Based on Graph Transformation

    Jon Whittle;Praveen Jayaraman;Ahmed Elkhodary;Ana Moreira

  • MATA: A Tool for Aspect-Oriented Modeling Based on Graph Transformation

    Jon Whittle;Praveen Jayaraman

  • Software engineering for 'social good': integrating action research, participatory design, and agile development

    Maria Angela Ferrario;Will Simm;Peter Newman;Stephen Forshaw

Frequent Co-Authors

Nelly Bencomo
Nelly Bencomo Durham University
Pete Sawyer
Pete Sawyer Aston University
Alessandro Garcia
Alessandro Garcia Pontifical Catholic University of Rio de Janeiro
Anthony Finkelstein
Anthony Finkelstein University College London
Daniel Amyot
Daniel Amyot University of Ottawa
Betty H. C. Cheng
Betty H. C. Cheng Michigan State University
Mark Rouncefield
Mark Rouncefield Lancaster University
Alan Bundy
Alan Bundy University of Edinburgh
Johann Schumann
Johann Schumann Langley Research Center
Grigore Rosu
Grigore Rosu University of Illinois at Urbana-Champaign

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