World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
65
Citations
39781
World Ranking
374
National Ranking
23

Michael G. Kenward 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 Michael G. Kenward 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: 261 publications — 79th percentile

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

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

Michael G. Kenward 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 Michael G. Kenward 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: 65 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Michael G. Kenward is affiliated with the London School of Hygiene & Tropical Medicine in the United Kingdom. Their research contributions are primarily situated within the broad field of mathematics, with a focus on statistics and probability. Kenward's work explores various statistical methods, including Bayesian inference and advanced causal inference techniques, with an emphasis on clinical trial methodology and statistical modeling.

Kenward has published extensively on topics such as:

  • Statistical Methods and Bayesian Inference
  • Advanced Causal Inference Techniques
  • Statistical Methods and Inference
  • Statistical Methods in Clinical Trials
  • Advanced Statistical Methods and Models

Their recent publications span a range of statistical applications and methodological advancements. Significant papers include:

  • Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide (2020) published in Statistics in Medicine
  • Estimating treatment effects under untestable assumptions with nonignorable missing data (2020) published in Statistics in Medicine
  • Information anchored reference-based sensitivity analysis for truncated normal data with application to survival analysis (2021) published in Statistica Neerlandica
  • Optimal weighted estimation versus Cochran-Mantel-Haenszel (2020) published in Communications in Statistics - Simulation and Computation
  • Correction to "A penalized framework for distributed lag non-linear models" by Antonio Gasparrini et al. (2022) published in Biometrics

Kenward frequently collaborates with other researchers in the field. Notable coauthors include:

  • James R. Carpenter
  • Suzie Cro
  • Tim P. Morris
  • Manuel Gomes
  • Richard Grieve

The primary venues for Kenward's publications reflect their focus on statistical methodology and its applications in biostatistics and clinical research:

  • Statistics in Medicine
  • Statistica Neerlandica
  • Communications in Statistics - Simulation and Computation
  • Biometrics

Best Publications

  • Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.

    Jonathan A C Sterne;Ian R White;John B Carlin;Michael Spratt

  • Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood

    Michael G. Kenward;James H. Roger

  • Distributed lag non-linear models

    A. Gasparrini;B. Armstrong;M. G. Kenward

  • Design and Analysis of Cross-Over Trials

    Byron Jones;Michael G. Kenward

  • Informative Drop‐Out in Longitudinal Data Analysis

    P. Diggle;M. G. Kenward

  • Missing Data in Clinical Studies

    Geert. Molenberghs;Michael G. Kenward

  • Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial

    Caroline Free;Rosemary Knight;Steven Robertson;Robyn Whittaker

  • Multivariate meta-analysis for non-linear and other multi-parameter associations.

    A. Gasparrini;B. Armstrong;M. G. Kenward

  • The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines

    Arũnas P. Verbyla;Brian R. Cullis;Michael G. Kenward;Sue J. Welham

  • Multiple imputation and its application

    J Carpenter;M Kenward

  • Multiple imputation: current perspectives.

    Michael G Kenward;James Carpenter

  • An improved approximation to the precision of fixed effects from restricted maximum likelihood

    Michael G. Kenward;James H. Roger

  • Analyzing incomplete longitudinal clinical trial data

    Geert Molenberghs;Herbert Thijs;Ivy Jansen;Caroline Beunckens

  • REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types

    James R. Carpenter;Harvey Goldstein;Michael G. Kenward

  • Informative dropout in longitudinal data analysis (with discussion)

    P J Diggle;M G Kenward

  • Differential dropout and bias in randomised controlled trials: when it matters and when it may not

    Melanie L Bell;Michael G Kenward;Diane L Fairclough;Nicholas J Horton

  • Design and Analysis of Cross-Over Trials, Second Edition

    Michael Kenward;Byron Jones

  • Methods for dealing with time-dependent confounding

    Rhian Daniel;S. N. Cousens;B. L. De Stavola;M. G. Kenward

  • Model-based geostatistics. Discussion. Authors' reply

    P. J. Diggle;J. A. Tawn;R. A. Moyeed;R. Webster

  • A Method for Comparing Profiles of Repeated Measurements

    Michael G. Kenward

Frequent Co-Authors

Suvi M. Virtanen
Suvi M. Virtanen Tampere University
Jorma Ilonen
Jorma Ilonen University of Turku
Mikael Knip
Mikael Knip University of Helsinki
James R. Carpenter
James R. Carpenter University College London
Riitta Veijola
Riitta Veijola Oulu University Hospital
Olli Simell
Olli Simell Turku University Hospital
Juha Pekkanen
Juha Pekkanen University at Buffalo, State University of New York
Els Goetghebeur
Els Goetghebeur Ghent University
Ben Armstrong
Ben Armstrong London School of Hygiene & Tropical Medicine

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