World's Best Scientists 2026 revealed!
Richard D. Gill

Richard D. Gill

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Mathematics
Netherlands
2026

D-Index & Metrics

Mathematics

D-Index
56
Citations
18158
World Ranking
722
National Ranking
5

Richard D. Gill 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 Richard D. Gill 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: 193 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Richard D. Gill 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 Richard D. Gill 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: 56 D-Index — 80th percentile

80% 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

  • 2026 - Research.com Mathematics in Netherlands Leader Award
  • 2025 - Research.com Mathematics in Netherlands Leader Award
  • 2023 - Research.com Mathematics in Netherlands Leader Award
  • 2022 - Research.com Mathematics in Netherlands Leader Award
  • 1999 - Royal Netherlands Academy of Arts and Sciences

Overview

Richard D. Gill is affiliated with Leiden University in the Netherlands and conducts research primarily in the field of Physics and Astronomy. Their scholarly work spans multiple subfields, including Atomic and Molecular Physics, and Optics, Artificial Intelligence, Physiology, History and Philosophy of Science, and Genetics.

The main research topics covered by Gill encompass:

  • Quantum Mechanics and Applications
  • Quantum Information and Cryptography
  • Philosophy and History of Science
  • Quantum Computing Algorithms and Architecture
  • Biofield Effects and Biophysics
  • Algorithms and Data Compression
  • Computability, Logic, AI Algorithms

Recent publications demonstrate a focus on both theoretical and applied aspects of these topics. Notable papers include:

  • "Calculating LRs for presence of body fluids from mRNA assay data in mixtures," 2021, Forensic Science International Genetics
  • "Gull's Theorem Revisited," 2022, Entropy
  • "A Nonparametric Bayesian Approach to the Rare Type Match Problem," 2020, Entropy
  • "Comment on 'Dr. Bertlmann's Socks in a Quaternionic World of Ambidextral Reality'," 2021, DOAJ (DOAJ: Directory of Open Access Journals)
  • "Kupczynski's Contextual Locally Causal Probabilistic Models are constrained by Bell's theorem," 2022, arXiv (Cornell University)

Frequent coauthors collaborating with Gill include:

  • Justo Pastor Lambare
  • Fengnan Gao
  • Norman Fenton
  • David A. Lagnado
  • Francesco Dotto

Publications are regularly featured in several venues, such as:

  • arXiv (Cornell University)
  • Entropy
  • DOAJ (DOAJ: Directory of Open Access Journals)
  • Preprints.org
  • IEEE Access

Richard D. Gill received recognition from the Royal Netherlands Academy of Arts and Sciences in 1999.

Best Publications

  • Cox's Regression Model for Counting Processes: A Large Sample Study

    Per Kragh Andersen;Richard D. Gill

  • Censoring and stochastic integrals

    Richard D. Gill

  • A counting process approach to maximum likelihood estimation in frailty models

    G. G. Nielsen;R. D. Gill;P. K. Andersen;T. I. A. Sørensen

  • A Survey of Product-Integration with a View Toward Application in Survival Analysis

    Richard D. Gill;Soren Johansen

  • Large Sample Behaviour of the Product-Limit Estimator on the Whole Line

    Richard Gill

  • Non- and semi-parametric maximum likelihood estimators and the von Mises method. II

    R. D. Gill;J. A. Wellner

  • Applications of the van Trees inequality: a Bayesian Cramér-Rao bound

    Richard D. Gill;Boris Y. Levit

  • State estimation for large ensembles

    Richard R.D. Gill;Serge Massar

  • Large Sample Theory of Empirical Distributions in Biased Sampling Models

    Richard D. Gill;Yehuda Vardi;Jon A. Wellner

  • Coarsening at Random: Characterizations, Conjectures, Counter-Examples

    Richard D. Gill;Mark J. van der Laan;James M. Robins

  • Random Truncation Models and Markov Processes

    Niels Keiding;Richard D. Gill

  • A simple test of the proportional hazards assumption

    Richard Gill;Martin Schumacher

  • Fisher information in quantum statistics

    OE Barndorff-Nielsen;RD Richard Gill

  • Linear Nonparametric Tests for Comparison of Counting Processes, with Applications to Censored Survival Data, Correspondent Paper

    Per Kragh Andersen;Ørnulf Borgan;Richard Gill;Niels Keiding

  • Persistent density perturbations at rational-q surfaces following pellet injection in the Joint European Torus.

    A. Weller;A.D. Cheetham;A.W. Edwards;R.D. Gill

  • Understanding Cox's Regression Model: A Martingale Approach

    Richard D. Gill

  • Causal inference for complex longitudinal data : the continuous case

    RD Richard Gill;JM James Robins

  • On quantum statistical inference

    Ole E. Barndorff-Nielsen;Richard D. Gill;Peter E. Jupp

  • Inefficient estimators of the bivariate survival function for three models

    Richard D. Gill;Mark J. van der Laan;Jon A. Wellner

  • Nonparametric Estimation Based on Censored Observations of a Markov Renewal Process

    R. D. Gill

  • Non- and semi-parametric maximum likelihood estimators and the Von Mises method

    Richard D. Gill

  • Applications of the van Trees inequality : a Bayesian Cramr-Rao bound

    Richard David Gill;Boris Y. Levit

  • Large sample theory of empirical distributions in biased sampling models

    Richard Gill;J.A. Wellner

Frequent Co-Authors

Per Kragh Andersen
Per Kragh Andersen University of Copenhagen
Niels Keiding
Niels Keiding University of Copenhagen
Ørnulf Borgan
Ørnulf Borgan University of Oslo
James M. Robins
James M. Robins Harvard University
Adrian Baddeley
Adrian Baddeley Curtin University
Ole E. Barndorff-Nielsen
Ole E. Barndorff-Nielsen Aarhus University
Jon A. Wellner
Jon A. Wellner University of Washington
Nicolas Gisin
Nicolas Gisin University of Geneva
Anton Zeilinger
Anton Zeilinger University of Vienna
Andrea Fiore
Andrea Fiore Eindhoven University of Technology

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