World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
9660
World Ranking
2138
National Ranking
82

Nancy Reid 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 Nancy Reid 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: 159 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Nancy Reid 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 Nancy Reid 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: 39 D-Index — 41st percentile

41% 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

  • 2018 - Fellow of the Royal Society, United Kingdom
  • 2016 - Member of the National Academy of Sciences
  • 2002 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2001 - Fellow of the Royal Society of Canada Academy of Science
  • 2000 - Wald Memorial Lecturer
  • 1992 - COPSS Presidents' Award
  • 1989 - Fellow of the American Statistical Association (ASA)

Overview

Nancy Reid is affiliated with the University of Toronto in Canada and has a research focus primarily in the field of Mathematics. Their work extensively covers areas within statistics and probability, artificial intelligence, and astronomy and astrophysics. The subfields involving statistics and probability dominate their research contributions, including aspects such as statistical methods, Bayesian inference, and uncertainty quantification.

The scientist's prolific output includes notable papers published in various academic venues. Recent papers include:

  • The ASA president's task force statement on statistical significance and replicability, 2021, The Annals of Applied Statistics
  • The Foundation is Available for Thinking about Data Visualization Inferentially, 2021, Harvard Data Science Review
  • ASA President's Task Force Statement on Statistical Significance and Replicability, 2021, CHANCE
  • Modified Likelihood root in High Dimensions, 2020, Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Variability of extragalactic X-ray jets on kiloparsec scales, 2023, Nature Astronomy

Frequent co-authors collaborating with Nancy Reid include Yanbo Tang, Heather Battey, Yoav Benjamini, Richard D. De Veaux, and Bradley Efron. This network reflects interdisciplinary and methodological partnerships across their research interests.

Key venues where this scientist regularly publishes research are:

  • arXiv (Cornell University)
  • Harvard Data Science Review
  • Statistica Sinica
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Journal of the Royal Statistical Society Series A (Statistics in Society)

Main topics addressed in their research include statistical methods and inference, Bayesian inference, advanced statistical models, soil geostatistics and mapping, Markov chains and Monte Carlo methods, advanced statistical process monitoring, and data visualization and analytics.

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Soil Geostatistics and Mapping
  • Markov Chains and Monte Carlo Methods
  • Advanced Statistical Process Monitoring
  • Data Visualization and Analytics

The scientist's career includes recognition through several awards and honors. These include being a Fellow of the Royal Society in the United Kingdom (2018), a Member of the National Academy of Sciences (2016), Fellow of the American Association for the Advancement of Science (AAAS) since 2002, Fellow of the Royal Society of Canada with the Academy of Science citation (2001), recipient of the Wald Memorial Lectureship (2000), the COPSS Presidents' Award (1992), and Fellow of the American Statistical Association (ASA) since 1989.

Best Publications

  • Parameter Orthogonality and Approximate Conditional Inference

    D. R. Cox;N. Reid

  • AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS

    Cristiano Varin;Nancy Margaret Reid;David Firth

  • The Theory of the Design of Experiments

    D.R. Cox;Nancy Reid

  • A note on pseudolikelihood constructed from marginal densities

    D. R. Cox;N. Reid

  • Composite Likelihood Methods

    Harry Joe;Nancy Reid;Peter Xuekun;David Firth

  • Saddlepoint Methods and Statistical Inference

    N. Reid

  • The Roles of Conditioning in Inference

    N. Reid

  • A Conversation with Sir David Cox

    Nancy Reid

  • A simple general formula for tail probabilities for frequentist and Bayesian inference

    D. A. S. Fraser;N. Reid;J. Wu

  • Applied Asymptotics: Case Studies in Small-Sample Statistics

    Alessandra Rosalba Brazzale;A. C. Davison;N. Reid

  • Estimating the median survival time

    Nancy Reid

  • Influence functions for censored data

    Nancy Reid

  • Influence functions for proportional hazards regression

    N. Reid;H. Crépeau

  • Asymptotics and the theory of inference

    N. Reid

  • Applied Asymptotics: Name index

    A. R. Brazzale;A. C. Davison;N. Reid

  • The role of differential geometry in statistical theory

    O. E. Barndorff-Nielsen;D. R. Cox;N. Reid

  • Applied Asymptotics: Example index

    A. R. Brazzale;A. C. Davison;N. Reid

  • Approximations to noncentral distributions

    David R. Cox;Nancy Reid

  • Ten Simple Rules for Effective Statistical Practice

    Robert E. Kass;Brian S. Caffo;Marie Davidian;Xiao Li Meng

  • On the robustness of maximum composite likelihood estimate

    Ximing Xu;N. Reid

  • Statistical Inference, Learning and Models in Big Data

    Beate Franke;Jean François Plante;Ribana Roscher;En shiun Annie Lee

Frequent Co-Authors

Anthony C. Davison
Anthony C. Davison École Polytechnique Fédérale de Lausanne
David R. Cox
David R. Cox University of Oxford
Rahul Mukerjee
Rahul Mukerjee Indian Institute of Management Calcutta
Harry Joe
Harry Joe University of British Columbia
Roger Grosse
Roger Grosse University of Toronto
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Igor Jurisica
Igor Jurisica University Health Network
Bin Yu
Bin Yu University of California, Berkeley
Kathryn Roeder
Kathryn Roeder Carnegie Mellon University
Sabit Cakmak
Sabit Cakmak Health Canada

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