World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
18287
World Ranking
3534
National Ranking
235

D. M. Titterington publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where D. M. Titterington sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 139 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

D. M. Titterington D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where D. M. Titterington sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 1991 - Fellow of the Royal Society of Edinburgh

Overview

D. M. Titterington is affiliated with the University of Glasgow in the United Kingdom. Throughout their career, they have been recognized with the award of Fellow of the Royal Society of Edinburgh in 1991.

Their research profile contains limited publicly available data regarding specific research topics, publications, and collaborations. No records of recent papers, co-authors, or publication venues have been documented in the provided dataset.

Without detailed information on their main fields of study, subfields, or main topics of work, it is not possible to give a comprehensive description of their research focus or academic contributions.

The lack of recorded books also limits insight into any published monographs or extended works by D. M. Titterington.

The scientist is currently living, and no additional personal or professional details have been noted in the dataset.

Best Publications

  • Statistical analysis of finite mixture distributions

    D. M. Titterington;Adrian F. M. Smith;U. E. Makov

  • Neural Networks: A Review from a Statistical Perspective

    Unknown

  • Deviance information criteria for missing data models

    G. Celeux;F. Forbes;C. P. Robert;D. M. Titterington

  • Asymptotically optimal difference-based estimation of variance in nonparametric regression

    Peter Hall;J. W. Kay;D. M. Titterington

  • Statistical challenges of high-dimensional data.

    Iain M. Johnstone;D. Michael Titterington

  • A study of methods of choosing the smoothing parameter in image restoration by regularization

    A.M. Thompson;J.C. Brown;J.W. Kay;D.M. Titterington

  • 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

  • Recursive Parameter Estimation Using Incomplete Data

    Unknown

  • Calculation of 230ThU isochrons, ages, and errors

    K.R. Ludwig;D.M. Titterington

  • Recent Advances in Nonlinear Experimental Design

    Ian Ford;D. M. Titterington;Christos P. Kitsos

  • Variational approximations in Bayesian model selection for finite mixture distributions

    C. A. McGrory;D. M. Titterington

  • Bayesian Methods for Neural Networks and Related Models

    D. M. Titterington

  • Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model

    Bo Wang;D. M. Titterington

  • Optimal design: Some geometrical aspects of D-optimality

    D. M. Titterington

  • Hierarchical Gaussian process mixtures for regression

    J. Q. Shi;R. Murray-Smith;D. M. Titterington

  • On confidence bands in nonparametric density estimation and regression

    Peter Hall;D. M. Titterington

  • Statistical Analysis of Finite Mixture Distributions.

    J. Newton;D. M. Titterington;A. F. M. Smith;U. E. Makov

  • Common Structure of Techniques for Choosing Smoothing Parameters in Regression Problems

    Peter Hall;D. M. Titterington

  • The Effect of Simulation Order on Level Accuracy and Power of Monte Carlo Tests

    Peter Hall;D. M. Titterington

  • Mixtures: Estimation and Applications

    Kerrie L. Mengersen;Christian P. Robert;D. M. Titterington

  • Edge-preserving and peak-preserving smoothing

    Peter Hall;D. M. Titterington

  • Gaussian process functional regression modeling for batch data.

    JQ Shi;B Wang;R Murray-Smith;DM Titterington

  • Inadequacy of interval estimates corresponding to variational Bayesian approximations

    Bo Wang;D. M. Titterington

  • $t$ -Tests, $F$ -Tests and Otsu's Methods for Image Thresholding

    Jing-Hao Xue;D. M. Titterington

  • Cross-validation in nonparametric estimation of probabilities and probability densities

    Adrian W. Bowman;Peter Hall;D. M. Titterington

  • Recent Developments in Statistical Inference and Data Analysis

    Unknown

Frequent Co-Authors

Christian P. Robert
Christian P. Robert Paris Dauphine University
Roderick Murray-Smith
Roderick Murray-Smith University of Glasgow
Kerrie Mengersen
Kerrie Mengersen Queensland University of Technology
Anthony N. Pettitt
Anthony N. Pettitt Queensland University of Technology
Jing-Hao Xue
Jing-Hao Xue University College London
John Shawe-Taylor
John Shawe-Taylor University College London
David J. Hand
David J. Hand Imperial College London
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Geoffrey J. McLachlan
Geoffrey J. McLachlan University of Queensland
Gilles Celeux
Gilles Celeux French Institute for Research in Computer Science and Automation - INRIA

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