World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
44
Citations
45500
World Ranking
1518
National Ranking
106

Adrian F. M. Smith publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Adrian F. M. Smith sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 89 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Adrian F. M. Smith D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Adrian F. M. Smith sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 44 D-Index — 58th percentile

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

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 1992 - Fellow of the American Statistical Association (ASA)

Overview

Adrian F. M. Smith is affiliated with Imperial College London in the United Kingdom and specializes in the fields of Physics and Astronomy. Their research focus includes Nuclear and High Energy Physics as well as Radiation, contributing to a broad understanding of particle detection and nuclear physics applications.

The main topics covered in their work are:

  • Radiation Detection and Scintillator Technologies
  • Particle Detector Development and Performance
  • Nuclear Physics and Applications
  • Quantum Chromodynamics and Particle Interactions
  • Particle Physics Theoretical and Experimental Studies
  • Nuclear Physics Research Studies

Smith's recent scholarly output includes five papers published between 2021 and 2025. These are:

  • Electromagnetic calorimeters based on scintillating lead tungstate crystals for experiments at Jefferson Lab, 2021, published in Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
  • Pion electroproduction measurements in the nucleon resonance region, 2024, published in The European Physical Journal A
  • Willem van Zwet's contributions to the profession, 2021, published in The Annals of Statistics
  • Foreword, 2022, published in Pharmaceutical Statistics
  • Light Monitoring System for the Lead Tungstate Calorimeter in Hall D at Jefferson Lab, 2025, published in arXiv (Cornell University)

Frequent co-authors associated with Smith include В. В. Бердников, A. Asaturyan, H. Egiyan, L. Gan, and T. Horn, reflecting collaboration within experimental physics and instrumentation development communities.

Smith has contributed to a variety of publication venues, frequently publishing in:

  • Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
  • The European Physical Journal A
  • The Annals of Statistics
  • Pharmaceutical Statistics
  • arXiv (Cornell University)

In recognition of professional achievements, Adrian F. M. Smith was awarded the title of Fellow of the American Statistical Association (ASA) in 1992.

Best Publications

  • Novel approach to nonlinear/non-Gaussian Bayesian state estimation

    N. J. Gordon;D. J. Salmond;A. F. M. Smith

  • Sequential Monte Carlo methods in practice

    Arnaud Doucet;Nando De Freitas;Neil Gordon;Adrian Smith

  • Sampling-Based Approaches to Calculating Marginal Densities

    Alan E. Gelfand;Adrian F. M. Smith

  • Bayesian Computation Via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods

    A. F. M. Smith;G. O. Roberts

  • Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling

    Alan E. Gelfand;Susan E. Hills;Amy Racine-Poon;Adrian F. M. Smith

  • Bayesian statistics without tears: A sampling-resampling perspective

    A. F. M. Smith;Alan E. Gelfand

  • Hierarchical Bayesian Analysis of Changepoint Problems

    Bradley P. Carlin;Alan E. Gelfand;Adrian F. M. Smith

  • Bayesian Analysis of Constrained Parameter and Truncated Data Problems Using Gibbs Sampling

    Alan E. Gelfand;Adrian F. M. Smith;Tai-Ming Lee

  • Automatic Bayesian curve fitting

    D. G. T. Denison;B. K. Mallick;A. F. M. Smith

  • Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms

    G.O. Roberts;A.F.M. Smith

  • A Bayesian CART algorithm

    David G. T. Denison;Bani K. Mallick;Adrian F. M. Smith

  • Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler

    J. C. Wakefield;A. F. M. Smith;A. Racine-Poon;A. E. Gelfand

  • Bayesian Inference for Generalized Linear and Proportional Hazards Models Via Gibbs Sampling

    P. Dellaportas;A. F. M. Smith

  • Generative or Discriminative? Getting the Best of Both Worlds

    Julia Lasserre;Christopher M. Bishop;J. M. Bernardo;M. J. Bayarri

  • Bayesian Statistics 5.

    T. Leonard;J. M. Bernado;J. O. Berger;A. P. Dawid

  • Bayesian Nonparametric Inference for Random Distributions and Related Functions

    Unknown

  • Making mathematics count : the report of Professor Adrian Smith's inquiry into post-14 mathematics education

    Adrian Smith

  • Monitoring Renal Transplants: An Application of the Multiprocess Kalman Filter

    A. F. M. Smith;M. West

  • Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals

    CE Rasmussen;J. M. Bernardo;M. J. Bayarri;J. O. Berger

  • Bayesian computational methods

    Adrian Frederick Melhuish Smith

  • Bayesian Statistics 2.

    J. M. Bernardo;M. H. DeGroot;D. V. Lindley;A. F. M. Smith

Frequent Co-Authors

Alan E. Gelfand
Alan E. Gelfand Duke University
Michael West
Michael West Duke University
James O. Berger
James O. Berger Duke University
Penelope Vounatsou
Penelope Vounatsou University of Basel
Anthony O'Hagan
Anthony O'Hagan University of Sheffield
A. P. Dawid
A. P. Dawid University of Cambridge
David Heckerman
David Heckerman Microsoft (United States)
Jon Wakefield
Jon Wakefield University of Washington
Christopher M. Bishop
Christopher M. Bishop Microsoft (United States)
Nando de Freitas
Nando de Freitas DeepMind (United Kingdom)

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