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Johan A. J. Metz

Johan A. J. Metz

D-Index & Metrics

Ecology and Evolution

D-Index
62
Citations
23730
World Ranking
2019
National Ranking
63

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Mathematical analysis

Johan A. J. Metz mostly deals with Ecology, Population model, Evolutionary biology, Evolutionary dynamics and Statistics. His research integrates issues of Physical geography, Disruptive selection and Reproductive isolation in his study of Ecology. The study incorporates disciplines such as Vital rates, Sensitivity, Mathematical optimization, Population size and Nonlinear system in addition to Population model.

His work on Evolutionary suicide is typically connected to Lineage as part of general Evolutionary dynamics study, connecting several disciplines of science. He combines subjects such as Next-generation matrix, Mathematical analysis and Linear map with his study of Statistics. Within one scientific family, Johan A. J. Metz focuses on topics pertaining to Evolutionary algorithm under Attractor, and may sometimes address concerns connected to Statistical physics.

His most cited work include:

  • On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations (2989 citations)
  • Evolutionarily singular strategies and the adaptive growth and branching of the evolutionary tree (1385 citations)
  • The Dynamics of Physiologically Structured Populations (934 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Ecology, Population model, Statistical physics, Evolutionary biology and Evolutionary dynamics. His studies deal with areas such as Theoretical computer science, Selection and Biological dispersal, Metapopulation as well as Ecology. His Population model research integrates issues from Stability, Mathematical economics, Statistics, Applied mathematics and Nonlinear system.

His work carried out in the field of Statistical physics brings together such families of science as Jacobian matrix and determinant and Dynamics. In general Evolutionary biology, his work in Genetic algorithm and Evolutionary developmental biology is often linked to Incipient speciation linking many areas of study. His studies in Evolutionary dynamics integrate themes in fields like Mathematical optimization, Attractor and Extinction.

He most often published in these fields:

  • Ecology (38.82%)
  • Population model (25.49%)
  • Statistical physics (25.10%)

What were the highlights of his more recent work (between 2011-2020)?

  • Applied mathematics (19.61%)
  • Statistical physics (25.10%)
  • Population model (25.49%)

In recent papers he was focusing on the following fields of study:

Johan A. J. Metz mainly investigates Applied mathematics, Statistical physics, Population model, Mathematical economics and Function. His work focuses on many connections between Statistical physics and other disciplines, such as Dynamics, that overlap with his field of interest in Canonical equation. His Population model research includes themes of Biomass, Order and Population cycle.

His Mathematical economics study which covers Statistics that intersects with Sign and Monotonic function. The Maxima and minima study combines topics in areas such as Evolutionary dynamics and Mathematical optimization. His research in Limit tackles topics such as Ecology which are related to areas like Reproduction.

Between 2011 and 2020, his most popular works were:

  • Fast running restricts evolutionary change of the vertebral column in mammals (42 citations)
  • A rigorous model study of the adaptive dynamics of Mendelian diploids. (40 citations)
  • Beyond R0 Maximisation: On Pathogen Evolution and Environmental Dimensions (28 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Statistics
  • Mathematical analysis

His scientific interests lie mostly in Statistical physics, Mendelian inheritance, Differential equation, Mathematical economics and Population model. His Statistical physics study frequently intersects with other fields, such as Ecology. Mendelian inheritance is intertwined with Operations research, Clonal interference, Dynamics, Canonical equation and Jump process in his study.

His Differential equation study integrates concerns from other disciplines, such as Smoothness, Sequence, Limit and Applied mathematics. His Mathematical economics research is multidisciplinary, relying on both Evolutionary dynamics, Quadratic equation, Open problem and Genetic Fitness. His Population model research incorporates themes from Biomass, Order and Population cycle.

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

  • Evolutionarily singular strategies and the adaptive growth and branching of the evolutionary tree

    S.A.H. Geritz;E. Kisdi;G. Meszena;J.A.J. Metz

  • The Dynamics of Physiologically Structured Populations

    J. A. J Metz;O Diekmann

  • How should we define ‘fitness’ for general ecological scenarios?

    J.A.J. Metz;R.M. Nisbet;S.A.H. Geritz

  • Adaptive Dynamics: A Geometrical Study of the Consequences of Nearly Faithful Reproduction

    J.A.J. Metz;S.A.H. Geritz;G. Meszena;F.J.A. Jacobs

  • Dynamics of Adaptation and Evolutionary Branching

    Stefan A. H. Geritz;J. A. J. Metz;J. A. J. Metz;Éva Kisdi;Géza Meszéna

  • The Geometry of Ecological Interactions: Simplifying Spatial Complexity

    Ulf Dieckmann;Richard Law;Johan A. J. Metz

  • Adaptive Speciation: Introduction

    Ulf Dieckmann;Diethard Tautz;Michael Doebeli;Johan A.J. Metz

  • On the dynamics of chemically stressed populations: The deduction of population consequences from effects on individuals

    S.A.L.M. Kooijman;J.A.J. Metz

  • EVOLUTIONARY DYNAMICS OF SEED SIZE AND SEEDLING COMPETITIVE ABILITY

    S.A.H. Geritz;E. van der Meijden;J.A.J. Metz;J.A.J. Metz

  • The velocity of spatial population expansion

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

  • Adaptive Dynamics of Infectious Diseases: In Pursuit of Virulence Management

    Ulf Dieckmann;Johan A. J. Metz;Maurice W. Sabelis;Karl Sigmund

  • Competitive exclusion and limiting similarity: a unified theory.

    Géza Meszéna;Mats Gyllenberg;Liz Pásztor;Johan A.J. Metz;Johan A.J. Metz

  • The Geometry of Ecological Interactions: Empirical and Statistical Background: A Plant Ecological Perspective

    Ulf Dieckmann;Richard Law;Johan A. J. Metz

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

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

  • Analysing the Velocity of Animal Range Expansion

    F. Van Den Bosch;R. Hengeveld;J. A. J. Metz

  • How should we define fitness in structured metapopulation models? Including an application to the calculation of evolutionarily stable dispersal strategies.

    J. A. J. Metz;J. A. J. Metz;M. Gyllenberg

  • On the Formulation and Analysis of General Deterministic Structured Population Models. II. Nonlinear Theory

    Odo Diekman;Mats Gyllenberg;Haiyang Huang;Markus Kirkilionis

  • Studying the Dynamics of Structured Population Models: A Versatile Technique and Its Application to Daphnia

    A.M. de Roos;O. Diekmann;J.A.J. Metz

  • Why are there so many cichlid species

    Frietson Galis;Johan A.J Metz;Johan A.J Metz

  • The enigma of frequency-dependent selection

    Mikko Heino;Johan A.J. Metz;Veijo Kaitala

Frequent Co-Authors

Ulf Dieckmann
Ulf Dieckmann International Institute for Applied Systems Analysis
Odo Diekmann
Odo Diekmann Utrecht University
Mats Gyllenberg
Mats Gyllenberg University of Helsinki
Maurice W. Sabelis
Maurice W. Sabelis University of Amsterdam
Karl Sigmund
Karl Sigmund University of Vienna
Mikko Heino
Mikko Heino University of Bergen
Veijo Kaitala
Veijo Kaitala University of Helsinki
Peter G. L. Klinkhamer
Peter G. L. Klinkhamer Leiden University
Richard Law
Richard Law University of York
Michael Doebeli
Michael Doebeli University of British Columbia

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