World's Best Scientists 2026 revealed!
Johan A. J. Metz

Johan A. J. Metz

D-Index & Metrics

Ecology and Evolution

D-Index
62
Citations
23730
World Ranking
2015
National Ranking
63

Johan A. J. Metz publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Johan A. J. Metz sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 161 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Johan A. J. Metz D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Johan A. J. Metz sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 62 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

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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