World's Best Scientists 2026 revealed!
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Mathematics
Netherlands
2026

D-Index & Metrics

Mathematics

D-Index
49
Citations
23232
World Ranking
1109
National Ranking
7

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

Overview

Odo Diekmann is affiliated with Utrecht University in the Netherlands and has a research focus predominantly in the fields of Medicine and Mathematics. Their work spans a diverse range of topics within mathematical and theoretical epidemiology and ecology models, as well as public health and related disciplines.

The scientist's research topics include:

  • Mathematical and Theoretical Epidemiology and Ecology Models
  • COVID-19 epidemiological studies
  • Evolution and Genetic Dynamics
  • Complex Network Analysis Techniques
  • Evolutionary Game Theory and Cooperation
  • Mathematical Biology Tumor Growth
  • Gene Regulatory Network Analysis

Main subfields of study for Odo Diekmann involve:

  • Public Health, Environmental and Occupational Health
  • Modeling and Simulation
  • Genetics
  • Statistical and Nonlinear Physics
  • Sociology and Political Science

Odo Diekmann has contributed to numerous research papers, with notable recent publications including:

  • The discrete-time Kermack-McKendrick model: A versatile and computationally attractive framework for modeling epidemics (2021), published in Proceedings of the National Academy of Sciences
  • A systematic procedure for incorporating separable static heterogeneity into compartmental epidemic models (2023), published in Journal of Mathematical Biology
  • Numerical Bifurcation Analysis of Physiologically Structured Population Models via Pseudospectral Approximation (2020), published in Vietnam Journal of Mathematics
  • Should a viral genome stay in the host cell or leave? A quantitative dynamics study of how hepatitis C virus deals with this dilemma (2020), published in PLoS Biology
  • The effect of host population heterogeneity on epidemic outbreaks (2024), published in Mathematics in Applied Sciences and Engineering

Their frequent coauthors include:

  • Hisashi Inaba
  • Martin Bootsma
  • Mats Gyllenberg
  • Francesca Scarabel
  • Carles Barril

Odo Diekmann's work is regularly published in venues such as:

  • arXiv (Cornell University)
  • Journal of Mathematical Biology
  • Proceedings of the National Academy of Sciences
  • Vietnam Journal of Mathematics
  • Mathematics in Applied Sciences and Engineering

Best Publications

  • On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations

    O. Diekmann;J. A. P. Heesterbeek;J. A. J. Metz

  • Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation

    Odo Diekmann;J. A. P Heesterbeek

  • The construction of next-generation matrices for compartmental epidemic models.

    Odo Diekmann;J.A.P. Heesterbeek;Mick G. Roberts

  • Mathematical Epidemiology of Infectious Diseases

    Odo Diekmann

  • Mathematical Tools for Understanding Infectious Disease Dynamics

    Odo Diekmann;Hans Heesterbeek;Tom Britton

  • Thresholds and travelling waves for the geographical spread of infection.

    Diekmann O

  • On evolutionarily stable life histories, optimization and the need to be specific about density dependence

    Sido D. Mylius;Odo Diekmann

  • How does transmission of infection depend on population size

    M.C.M. de Jong;O. Diekmann;J.A.P. Heesterbeek

  • The velocity of spatial population expansion

    F. van den Bosch;J. A. J. Metz;O. Diekmann

  • A beginners guide to adaptive dynamics

    O. Diekmann

  • Can a Species Keep Pace with a Shifting Climate

    H. Berestycki;O. Diekmann;C. J. Nagelkerke;P. A. Zegeling

  • Run for your life. A note on the asymptotic speed of propagation of an epidemic

    O Diekmann

  • The dynamics of adaptation: an illuminating example and a Hamilton-Jacobi approach.

    Odo Diekmann;Pierre-Emanuel Jabin;Stéphane Mischler;Benoıˆt Perthame;Benoıˆt Perthame

  • On the formulation and analysis of general deterministic structured population models

    O. Diekmann;M. Gyllenberg;H. Huang;M. Kirkilionis

  • On the stability of the cell size distribution

    O. Diekmann;H. J. A. M. Heijmans;H. R. Thieme

  • When does evolution optimize

    J.A.J. Metz;S.D. Mylius;O. Diekmann

  • Comment on "Linking population-level models with growing networks: a class of epidemic models".

    Martin C. J. Bootsma;Odo Diekmann

  • On the bounded solutions of a nonlinear convolution equation

    Odo Diekmann;Hans G. Kaper

  • Steady-state analysis of structured population models

    O. Diekmann;M. Gyllenberg;J.A.J. Metz;J.A.J. Metz

  • Stability and Bifurcation Analysis of Volterra Functional Equations in the Light of Suns and Stars

    Odo Diekmann;Philipp Getto;Mats Gyllenberg

Frequent Co-Authors

Mats Gyllenberg
Mats Gyllenberg University of Helsinki
Horst R. Thieme
Horst R. Thieme Arizona State University
Mart C.M. de Jong
Mart C.M. de Jong Wageningen University & Research
Tom Britton
Tom Britton Stockholm University
Marc J. M. Bonten
Marc J. M. Bonten Utrecht University
Jim M Cushing
Jim M Cushing University of Arizona
Klaus Dietz
Klaus Dietz University of Tübingen
Marek Kimmel
Marek Kimmel Rice University
Takaji Wakita
Takaji Wakita National Institute of Infectious Diseases
Annemarie Bouma
Annemarie Bouma Ministry of Agriculture, Nature and Food Quality

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