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Richard D. Gill

Richard D. Gill

Award Badge
Mathematics
Netherlands
2026

D-Index & Metrics

Mathematics

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

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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