World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
55
Citations
29290
World Ranking
762
National Ranking
56

M. C. Jones 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 M. C. Jones 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: 198 publications — 61st percentile

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

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

M. C. Jones 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 M. C. Jones 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: 55 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

M. C. Jones is affiliated with The Open University in the United Kingdom and contributes research primarily in the field of Mathematics with a focus on Statistics and Probability. Their publication record spans topics including Statistical Distribution Estimation and Applications, Bayesian Methods and Mixture Models, Probability and Risk Models, Financial Risk and Volatility Modeling, and Statistical Methods and Inference.

Their recent published papers illustrate a focus on statistical distributions and mixtures, including:

  • "A (non-central) chi-squared mixture of non-central chi-squareds is (non-central) chi-squared and related results, corollaries and applications," 2021, published in Stat
  • "Simple functions of independent beta random variables that follow beta distributions," 2020, published in Statistics & Probability Letters
  • "A slew of mixture relationships involving discrete and continuous generalized hypergeometric distributions and their special cases," 2023, published in Stat

Additional papers co-authored by Jones involve collaborative work on survival analysis and optimal tuning parameters in density power divergence.

  • "On the 'optimal' density power divergence tuning parameter," 2020, published in Journal of Applied Statistics
  • "A Flexible Parametric Modelling Framework for Survival Analysis," 2020, published in Journal of the Royal Statistical Society Series C (Applied Statistics)

Jones's publication history features frequent appearances in several statistical journals, notably:

  • Statistics & Probability Letters
  • Stat
  • Journal of the Royal Statistical Society Series C (Applied Statistics)
  • Journal of Applied Statistics
  • Test

Their collaborative network includes multiple coauthors working in related fields, with the most frequent coauthors being:

  • N. Balakrishnan
  • Arthur Pewsey
  • Sancharee Basak
  • Ayanendranath Basu
  • Éric Marchand

The research topics Jones has engaged with encompass an array of areas within mathematical statistics, such as Statistical Distribution Estimation and Applications, Bayesian Methods and Mixture Models, Probability and Risk Models, Financial Risk and Volatility Modeling, Advanced Statistical Methods and Models, and Probabilistic and Robust Engineering Design.

Best Publications

  • A reliable data-based bandwidth selection method for kernel density estimation

    S. J. Sheather;M. C. Jones

  • A Brief Survey of Bandwidth Selection for Density Estimation

    M. C. Jones;J. S. Marron;S. J. Sheather

  • Spline Smoothing and Nonparametric Regression.

    Unknown

  • Robust and efficient estimation by minimising a density power divergence

    Ayanendranath Basu;Ian R. Harris;Nils Lid Hjort;M.C. Jones

  • Local Linear Quantile Regression

    Keming Yu;M. C. Jones

  • Simple boundary correction for kernel density estimation

    M. C. Jones

  • Kumaraswamy’s distribution: A beta-type distribution with some tractability advantages

    M.C. Jones

  • Families of distributions arising from distributions of order statistics

    M. C. Jones

  • Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation

    M. P. Wand;M. C. Jones

  • A skew extension of the t -distribution, with applications

    M. C. Jones;M. J. Faddy

  • Locally parametric nonparametric density estimation

    Nils Lid Hjort;M.C. Jones

  • On optimal data-based bandwidth selection in kernel density estimation

    Peter Hall;Simon J. Sheather;M. C. Jones;J. S. Marron

  • A smoothed EM approach to indirect estimation problems, with particular reference to stereology and emission tomography

    B. W. Silverman;M. C. Jones;J. D. Wilson;D. W. Nychka

  • Sinh-arcsinh distributions

    M. C. Jones;Arthur Pewsey

  • E. Fix and J.L. Hodges (1951): An Important Contribution to Nonparametric Discriminant Analysis and Density Estimation: Commentary on Fix and Hodges (1951)

    Unknown

  • Displaying the important features of large collections of similar curves

    M. C. Jones;John A. Rice

  • Using non stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives

    M.C. Jones;S.J. Sheather

  • Expectiles and M-quantiles are quantiles

    M.C. Jones

  • A simple bias reduction method for density estimation

    M C Jones;Oliver Linton;J P Nielsen

  • Choosing a robustness tuning parameter

    Jane Warwick;M. C. Jones

  • A simple root n bandwidth selector

    M. C. Jones;J. S. Marron;B. U. Park

  • Kernel density estimation for length biased data

    M. C. Jones

Frequent Co-Authors

Keming Yu
Keming Yu Brunel University London
Byeong U. Park
Byeong U. Park Seoul National University
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Simon J. Sheather
Simon J. Sheather University of Kentucky
Nils Lid Hjort
Nils Lid Hjort University of Oslo
David J. Hand
David J. Hand Imperial College London
Matt P. Wand
Matt P. Wand University of Technology Sydney
Nicholas M. Holden
Nicholas M. Holden University College Dublin
Nektarios Chrysoulakis
Nektarios Chrysoulakis Foundation for Research and Technology Hellas
John A. Sweeney
John A. Sweeney University of Cincinnati

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