World's Best Scientists 2026 revealed!
Paul D. McNicholas

Paul D. McNicholas

D-Index & Metrics

Mathematics

D-Index
45
Citations
6502
World Ranking
1509
National Ranking
55

Engineering and Technology

D-Index
46
Citations
6804
World Ranking
5267
National Ranking
211

Paul D. McNicholas 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 Paul D. McNicholas 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: 191 publications — 58th percentile

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

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

Paul D. McNicholas 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 Paul D. McNicholas 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: 45 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Paul D. McNicholas is affiliated with McMaster University in Canada, conducting research primarily within computer science. Their work spans several subfields, notably artificial intelligence, statistics and probability, computer vision and pattern recognition, physiology, and molecular biology.

The scientist's research focuses on topics including Bayesian methods and mixture models, advanced clustering algorithms, image retrieval and classification techniques, statistical methods and Bayesian inference, statistical methods and inference, gene expression and cancer classification, and nutrition and health in aging.

Among the recent papers published are:

  • Trajectories of Symptom Severity in Children with Autism: Variability and Turning Points through the Transition to School (2021, Journal of Autism and Developmental Disorders)
  • Mixtures of Matrix-Variate Contaminated Normal Distributions (2021, Journal of Computational and Graphical Statistics)
  • Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package (2021, Journal of Statistical Software)
  • The impact of different diagnostic criteria on the association of sarcopenia with injurious falls in the CLSA (2020, Journal of Cachexia Sarcopenia and Muscle)
  • Identification of five important genes to predict glioblastoma subtypes (2021, Neuro-Oncology Advances)

Frequent co-authors collaborating with Paul D. McNicholas include:

  • Michael P. B. Gallaugher
  • Salvatore D. Tomarchio
  • Antonio Punzo
  • Parminder Raina
  • Alexandra Mayhew

The scientist publishes regularly in several venues, with a particular concentration in the following:

  • Journal of Classification
  • arXiv (Cornell University)
  • Canadian Journal of Statistics
  • Statistics and Computing
  • Advances in Data Analysis and Classification

Best Publications

  • The prevalence of sarcopenia in community-dwelling older adults, an exploration of differences between studies and within definitions: a systematic review and meta-analyses.

    A J Mayhew;A J Mayhew;K Amog;K Amog;S Phillips;G Parise

  • Parsimonious Gaussian mixture models

    Paul David Mcnicholas;Thomas Brendan Murphy

  • Mixture Model-Based Classification

    Paul D. McNicholas

  • Model-based clustering of microarray expression data via latent Gaussian mixture models

    Paul D. McNicholas;Thomas Brendan Murphy

  • Model-Based Clustering

    Paul D. McNicholas

  • A mixture of generalized hyperbolic distributions

    Ryan P. Browne;Paul D. McNicholas

  • Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions

    Jeffrey L. Andrews;Paul D. Mcnicholas

  • Mixtures of Shifted AsymmetricLaplace Distributions

    Brian C. Franczak;Ryan P. Browne;Paul D. McNicholas

  • Genome-wide expression profiling of maize in response to individual and combined water and nitrogen stresses

    Sabrina Humbert;Sabrina Humbert;Sanjeena Subedi;Jonathan Cohn;Bin Zeng

  • Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models

    P. D. McNicholas;T. B. Murphy;A. F. McDaid;D. Frost

  • Model-based clustering of longitudinal data

    Paul D. McNicholas;T. Brendan Murphy

  • Muscle Androgen Receptor Content but Not Systemic Hormones Is Associated With Resistance Training-Induced Skeletal Muscle Hypertrophy in Healthy, Young Men

    Robert W. Morton;Koji Sato;Michael P. B. Gallaugher;Sara Y. Oikawa

  • Extending mixtures of multivariate t-factor analyzers

    Jeffrey L. Andrews;Paul D. Mcnicholas

  • Standardising the lift of an association rule

    P. D. McNicholas;T. B. Murphy;M. O'Regan

  • Model-based classification using latent Gaussian mixture models

    Paul D. McNicholas

  • Mixtures of skew-t factor analyzers

    Paula M. Murray;Ryan P. Browne;Paul D. McNicholas

  • Parsimonious mixtures of multivariate contaminated normal distributions.

    Antonio Punzo;Paul D. McNicholas

  • Clustering with the multivariate normal inverse Gaussian distribution

    Adrian O'Hagan;Thomas Brendan Murphy;Isobel Claire Gormley;Paul D. McNicholas

  • Estimating common principal components in high dimensions

    Ryan P. Browne;Paul D. Mcnicholas

  • Model-based classification via mixtures of multivariate t-distributions

    Jeffrey L. Andrews;Paul D. McNicholas;Sanjeena Subedi

  • Parsimonious skew mixture models for model-based clustering and classification

    Irene Vrbik;Paul D. McNicholas

  • Serial and Parallel Implementations of Model-Based Clustering via Parsimonious

    P. D. McNicholas;T. B. Murphy;D. Frost

Frequent Co-Authors

Steven J. Rothstein
Steven J. Rothstein University of Guelph
Marc G. Genton
Marc G. Genton King Abdullah University of Science and Technology
Dimitris Karlis
Dimitris Karlis Athens University of Economics and Business
Stuart M. Phillips
Stuart M. Phillips McMaster University
Adelchi Azzalini
Adelchi Azzalini University of Padua
Tong Zhu
Tong Zhu Research Triangle Park Foundation
Lehana Thabane
Lehana Thabane McMaster University
Geoffrey J. McLachlan
Geoffrey J. McLachlan University of Queensland
Hans A. Kestler
Hans A. Kestler University of Ulm
Susan A. Jebb
Susan A. Jebb University of Oxford

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