What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical analysis
- Algebra
His primary areas of investigation include Combinatorics, Pure mathematics, Mathematical analysis, Allele frequency and Random tree.
His Combinatorics research incorporates elements of Stochastic differential equation, Conditional expectation and Phylogenetic tree.
His Pure mathematics study incorporates themes from Measure, Markov process and Path space.
His Markov process research includes elements of Representation, Superprocess, Class and Calculus.
The Mathematical analysis study combines topics in areas such as Spectrum, Cone and Brownian motion.
His Allele frequency research integrates issues from Population size, Inference and Boundary value problem.
His most cited work include:
- Linear functionals of eigenvalues of random matrices (236 citations)
- Invariants of Some Probability Models Used in Phylogenetic Inference (148 citations)
- Rayleigh processes, real trees, and root growth with re-grafting (126 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Combinatorics, Mathematical analysis, Brownian motion, Markov chain and Discrete mathematics.
Steven N. Evans is studying Binary tree, which is a component of Combinatorics.
His study in Mathematical analysis is interdisciplinary in nature, drawing from both Pure mathematics, Stochastic process, Local time and Applied mathematics.
As a part of the same scientific study, he usually deals with the Brownian motion, concentrating on Almost surely and frequently concerns with Hausdorff dimension.
He has included themes like Real tree, Markov process and Branching process in his Markov chain study.
His research links Random matrix with Discrete mathematics.
He most often published in these fields:
- Combinatorics (39.29%)
- Mathematical analysis (18.88%)
- Brownian motion (15.31%)
What were the highlights of his more recent work (between 2012-2020)?
- Combinatorics (39.29%)
- Brownian motion (15.31%)
- Selection (7.14%)
In recent papers he was focusing on the following fields of study:
Steven N. Evans mainly investigates Combinatorics, Brownian motion, Selection, Probability measure and Sequence.
His Combinatorics study combines topics from a wide range of disciplines, such as Discrete mathematics, Lebesgue measure and Random variable.
Steven N. Evans combines subjects such as Almost surely, Lie group, Mathematical analysis and Counterexample with his study of Brownian motion.
The concepts of his Mathematical analysis study are interwoven with issues in Local time and Markov process, Killed process.
His Selection research also works with subjects such as
- Inference and related Statistics, Allele, Bayesian inference, Allele frequency and Bayesian probability,
- Reproductive success which intersects with area such as Evolutionary biology and Ecology.
The various areas that he examines in his Probability measure study include Positive real numbers, Metric space, Pure mathematics, Measure and Markov chain.
Between 2012 and 2020, his most popular works were:
- Stochastic population growth in spatially heterogeneous environments (80 citations)
- Bayesian Inference of Natural Selection from Allele Frequency Time Series. (74 citations)
- Edge Principal Components and Squash Clustering: Using the Special Structure of Phylogenetic Placement Data for Sample Comparison (74 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical analysis
- Algebra
Combinatorics, Probability measure, Selection, Brownian motion and Almost surely are his primary areas of study.
Steven N. Evans studies Binary tree which is a part of Combinatorics.
His studies in Probability measure integrate themes in fields like Measure, Sequence and Pure mathematics.
His research integrates issues of Abundance, Habitat, Stochastic process, Inference and Evolutionary stability in his study of Selection.
His work is dedicated to discovering how Brownian motion, Random variable are connected with Lévy process, Subordinator, Lebesgue measure and Lipschitz continuity and other disciplines.
His work deals with themes such as Initial value problem, Hitting time, Mathematical analysis and Geometry, which intersect with Almost surely.
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