World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
33530
World Ranking
7340
National Ranking
437

John Daugman 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 John Daugman 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: 137 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

John Daugman 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 John Daugman 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: 44 D-Index — 48th percentile

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

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

Research.com Recognitions

  • 2015 - Fellow of the Royal Academy of Engineering (UK)
  • 2015 - Fellow, National Academy of Inventors
  • 2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision, pattern recognition and biometrics

Overview

John Daugman is affiliated with the University of Cambridge in the United Kingdom. Their research primarily contributes to the field of Computer Science, with a focus on subfields such as Signal Processing, Genetics, Geometry and Topology, Information Systems, and Safety Research.

The main topics covered in Daugman's work include:

  • Biometric Identification and Security
  • Forensic and Genetic Research
  • Morphological variations and asymmetry
  • User Authentication and Security Systems
  • Forensic Fingerprint Detection Methods
  • Authorship Attribution and Profiling
  • Face recognition and analysis

They have published research papers in several academic venues, frequently contributing to:

  • IEEE Transactions on Biometrics Behavior and Identity Science
  • CL Technical Reports
  • arXiv (Cornell University)
  • Advances in Artificial Intelligence and Machine Learning

Some recent papers authored by John Daugman include:

  • Biometric decision landscapes, 2021, CL Technical Reports
  • Results from 200 billion iris cross-comparisons, 2021, CL Technical Reports
  • Broken Symmetries, Random Morphogenesis, and Biometric Distance, 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • Understanding Biometric Entropy and Iris Capacity: Avoiding Identity Collisions on National Scales, 2024, Advances in Artificial Intelligence and Machine Learning
  • Understanding Biometric Entropy and Iris Capacity: Avoiding Identity Collisions on National Scales, 2023, arXiv (Cornell University)

Frequent coauthors in their publications include:

  • Cathryn Downing
  • Akande Noah Oluwatobi
  • Oluwakemi Christiana Abikoye

John Daugman has received several professional recognitions, including being named Fellow of the National Academy of Inventors in 2015, Fellow of the Royal Academy of Engineering (UK) in 2015, and Fellow of the International Association for Pattern Recognition (IAPR) in 2012, the latter acknowledging contributions to computer vision, pattern recognition, and biometrics.

Best Publications

  • High confidence visual recognition of persons by a test of statistical independence

    J.G. Daugman

  • How iris recognition works

    J. Daugman

  • Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters.

    John G. Daugman

  • Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression

    J.G. Daugman

  • Two-dimensional spectral analysis of cortical receptive field profiles.

    John G. Daugman

  • New Methods in Iris Recognition

    J. Daugman

  • The importance of being random: statistical principles of iris recognition

    John Daugman

  • Biometric personal identification system based on iris analysis.

    John G. Daugman

  • Combining Crypto with Biometrics Effectively

    F. Hao;R. Anderson;J. Daugman

  • Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons

    J. Daugman

  • How iris recognition works

    J. Daugman

  • Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns

    John Daugman

  • DEMODULATION BY COMPLEX-VALUED WAVELETS FOR STOCHASTIC PATTERN RECOGNITION

    John Daugman

  • Epigenetic randomness, complexity and singularity of human iris patterns.

    John Daugman;Cathryn Downing

  • Biometric decision landscapes

    John Daugman

  • Face and gesture recognition: overview

    J. Daugman

  • Spatial visual channels in the fourier plane

    John G. Daugman

  • Entropy reduction and decorrelation in visual coding by oriented neural receptive fields

    J.G. Daugman

  • Combining cryptography with biometrics effectively

    Feng Hao;Ross Anderson;John Daugman

  • Effect of Severe Image Compression on Iris Recognition Performance

    J. Daugman;C. Downing

Frequent Co-Authors

Ross Anderson
Ross Anderson University of Cambridge
Daniel M. Kammen
Daniel M. Kammen University of California, Berkeley
Martin D. Levine
Martin D. Levine McGill University

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