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.
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