World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
32417
World Ranking
8553
National Ranking
515

Walter R. Gilks 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 Walter R. Gilks 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: 84 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Walter R. Gilks 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 Walter R. Gilks 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Walter R. Gilks is affiliated with the University of Leeds in the United Kingdom. Their research spans the fields of computer science and mathematics, with a focus on subfields such as computer vision and pattern recognition, as well as numerical analysis.

The main topics of their work include image and signal denoising methods and mathematical approximation and integration. These topics reflect a specialization in techniques and algorithms to process and analyze data with applications in image processing and computational mathematics.

Walter R. Gilks has contributed to the academic community through publications in recognized venues. Recent papers include the article titled "Wavelet Monte Carlo: a principle for sampling from complex distributions", published in 2023 in the journal Statistics and Computing.

  • Wavelet Monte Carlo: a principle for sampling from complex distributions (2023, Statistics and Computing)

Their collaborative work involved coauthorship with researchers such as Lukas Cironis and Stuart Barber, indicating engagement in joint research efforts within their field.

  • Lukas Cironis
  • Stuart Barber

Walter R. Gilks' publications have appeared in venues focused on statistical methods and computational applications, with Statistics and Computing being a noted venue for their work.

  • Statistics and Computing

Best Publications

  • Markov Chain Monte Carlo in Practice

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Weak convergence and optimal scaling of random walk Metropolis algorithms

    G. O. Roberts;A. Gelman;W. R. Gilks

  • Highly conserved non-coding sequences are associated with vertebrate development.

    Adam Woolfe;Martin Goodson;Debbie K Goode;Phil Snell

  • Following a moving target—Monte Carlo inference for dynamic Bayesian models

    Walter Richard Gilks;Carlo Berzuini

  • A Language and Program for Complex Bayesian Modelling

    W. R. Gilks;A. Thomas;D. J. Spiegelhalter

  • Introducing Markov chain Monte Carlo

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Markov Chain Monte Carlo

    Unknown

  • Inference and monitoring convergence

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Hypothesis testing and model selection

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Markov chain concepts related to sampling algorithms

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Adaptive Markov Chain Monte Carlo through Regeneration

    Walter R. Gilks;Gareth O. Roberts;Sujit K. Sahu

  • On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

  • Dynamic conditional independence models and Markov chain Monte Carlo methods

    Carlo Berzuini;Nicola G. Best;Walter R. Gilks;Cristiana Larizza

  • Strategies for improving MCMC

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Modelling Complexity: Applications of Gibbs Sampling in Medicine

    W. R. Gilks;D. G. Clayton;D. J. Spiegelhalter;N. G. Best

  • Bayesian mapping of disease

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • Adaptive Direction Sampling

    W. R. Gilks;G. O. Roberts;E. I. George

  • A novel algorithm and web-based tool for comparing two alternative phylogenetic trees

    Tom M.W. Nye;Pietro Liò;Walter R. Gilks

  • Modeling the percolation of annotation errors in a database of protein sequences.

    Walter R. Gilks;Benjamin Audit;Daniela De Angelis;Sophia Tsoka

  • Mixtures of distributions: inference and estimation

    W.R. Gilks;S. Richardson;David Spiegelhalter

  • A Bayesian Approach to Measurement Error Problems in Epidemiology Using Conditional Independence Models

    Sylvia Richardson;Walter R. Gilks

Frequent Co-Authors

David Spiegelhalter
David Spiegelhalter UK Statistics Authority
Sylvia Richardson
Sylvia Richardson University of Cambridge
Benjamin Audit
Benjamin Audit École Normale Supérieure de Lyon
Klaudia Walter
Klaudia Walter Wellcome Sanger Institute
Nicky Best
Nicky Best GlaxoSmithKline (United Kingdom)
Christos A. Ouzounis
Christos A. Ouzounis Aristotle University of Thessaloniki
Gareth O. Roberts
Gareth O. Roberts University of Warwick
Greg Elgar
Greg Elgar Genomics England
M. Madan Babu
M. Madan Babu St. Jude Children's Research Hospital
Sarah A. Teichmann
Sarah A. Teichmann University of Cambridge

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