World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
50321
World Ranking
2974
National Ranking
178

David J. C. MacKay 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 David J. C. MacKay 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

David J. C. MacKay 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 David J. C. MacKay 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

David J. C. MacKay is affiliated with the University of Cambridge in the United Kingdom. Their research spans several interdisciplinary fields, including global and planetary change, strategy and management, social psychology, general health professions, and organizational behavior and human resource management.

The scientific work focuses on a range of interconnected topics such as innovation and knowledge management, competitive and knowledge intelligence, organizational learning and leadership, forest management and policy, sustainability and climate change governance, conservation, biodiversity and resource management, and hybrid renewable energy systems.

Recent publications illustrate this diverse focus. These include "Overcoming multi-stakeholder fragmented narratives in land use, woodland and forestry policy: The role scenario planning and 'dissociative jolts'" (2021, Technological Forecasting and Social Change), "Unlocking dynamic capabilities in the Scotch whisky industry, 1945-present" (2022, Business History), "Hydrogen microgrids to facilitate the clean energy transition in remote, northern communities" (2025, Applied Energy), "Energy Cost Metric. Energy Design Guide for the Civil Engineering Building in West Cambridge. Part 1: Early stage design decisions" (2020, Apollo (University of Cambridge)), and "The relationship of intergenerational poverty and exclusionary school discipline" (2022, Psychology in the Schools).

Frequent coauthors working alongside David J. C. MacKay include George Burt, Robert Chia, Niall MacKenzie, Andrew Perchard, and Kepa Mendibil.

Publication venues reflect the multidisciplinary nature of the research, featuring outlets such as Business History, Technological Forecasting and Social Change, Applied Energy, Apollo (University of Cambridge), and Psychology in the Schools.

Their contributions to academic literature also include a book titled Strategy-In-Practices, published by Cambridge University Press in 2023.

Best Publications

  • Good error-correcting codes based on very sparse matrices

    D.J.C. MacKay

  • Bayesian interpolation

    David J. C. MacKay

  • Near Shannon limit performance of low density parity check codes

    David J. C. MacKay;Radford M. Neal

  • A practical Bayesian framework for backpropagation networks

    David J. C. MacKay

  • Low-density parity check codes over GF(q)

    M.C. Davey;D. MacKay

  • Near Shannon limit performance of low density parity check codes

    Unknown

  • Low density parity check codes over GF(q)

    M.C. Davey;D.J.C. MacKay

  • Information-based objective functions for active data selection

    David J. C. MacKay

  • Turbo decoding as an instance of Pearl's "belief propagation" algorithm

    R.J. McEliece;D.J.C. MacKay;Jung-Fu Cheng

  • Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks

    David J C Mackay

  • Introduction to Gaussian processes

    D. J. C. Mackay

  • The evidence framework applied to classification networks

    David J. C. MacKay

  • Bayesian methods for adaptive models

    David John Cameron Mackay

  • Fountain codes

    Unknown

  • Bayesian Online Changepoint Detection

    Ryan Prescott Adams;David J. C. MacKay

  • Introduction to Monte Carlo methods

    D. J. C. MacKay

  • Good Codes Based on Very Sparse Matrices

    David J. C. MacKay

  • Information Theory, Inference and Learning Algorithms

    David J. C. MacKay

  • The role of constraints in Hebbian learning

    Kenneth D. Miller;David J. C. MacKay

  • Dasher—a data entry interface using continuous gestures and language models

    David J. Ward;Alan F. Blackwell;David J. C. MacKay

  • Evaluation of Gallager Codes for Short Block Length and High Rate Applications

    David J. C. MacKay;Matthew C. Davey

  • A Revolution: Belief Propagation in Graphs with Cycles

    Brendan J. Frey;David J. C. MacKay

  • MCMC for doubly-intractable distributions

    Iain Murray;Zoubin Ghahramani;David J. C. MacKay

  • Advances in Neural Information Processing Systems 18

    Iain Murray;David J. C. MacKay;Zoubin Ghahramani;John Skilling

Frequent Co-Authors

Iain Murray
Iain Murray University of Edinburgh
Ryan P. Adams
Ryan P. Adams Princeton University
H. K. D. H. Bhadeshia
H. K. D. H. Bhadeshia Queen Mary University of London
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Coryn A. L. Bailer-Jones
Coryn A. L. Bailer-Jones Max Planck Society
Per Ola Kristensson
Per Ola Kristensson University of Cambridge
Alan F. Blackwell
Alan F. Blackwell University of Cambridge
Kenneth D. Miller
Kenneth D. Miller Columbia University
Oliver Stegle
Oliver Stegle German Cancer Research Center
Philip J. Withers
Philip J. Withers University of Manchester

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options can significantly broaden your pathway in Computer Science, making the field accessible no matter where you start. Many students begin their journey with an online associate's degree, which provides foundational knowledge and technical skills. These programs are flexible and can often be completed alongside work or family commitments.

Advancing your credentials with a master’s can make you even more competitive. Notably, if you are wondering which master's degree is most in demand in usa, Computer Science consistently ranks at the top, thanks to strong job prospects and high earning potential.

If affordability is a concern, there are many cheapest online college options that offer reputable Computer Science programs without the financial burden. Admissions flexibility is also increasing, with online colleges that accept 2.0 gpa, making it easier for more students to gain access to quality education and improve their career trajectory.

No matter your background or budget, online degrees offer adaptable and affordable pathways to lucrative tech careers in the USA.

Best Scientists Citing David J. C. MacKay

Trending Scientists

Recently Published Articles