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- Steven N. Evans

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
32
Citations
4,350
147
World Ranking
2416
National Ranking
1025

2016 - Member of the National Academy of Sciences

2013 - Fellow of the American Mathematical Society

- 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.

- 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)

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.

- Combinatorics (39.29%)
- Mathematical analysis (18.88%)
- Brownian motion (15.31%)

- Combinatorics (39.29%)
- Brownian motion (15.31%)
- Selection (7.14%)

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.

- 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)

- 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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Linear functionals of eigenvalues of random matrices

Persi Diaconis;Steven N. Evans.

**(2000)**

374 Citations

Invariants of Some Probability Models Used in Phylogenetic Inference

Steven N. Evans;T. P. Speed.

Annals of Statistics **(1993)**

175 Citations

Rayleigh processes, real trees, and root growth with re-grafting

Steven N. Evans;Jim Pitman;Anita Winter.

Probability Theory and Related Fields **(2006)**

169 Citations

Inverse problems as statistics

Steven N Evans;Philip B Stark.

Inverse Problems **(2002)**

166 Citations

Probability and Real Trees

Steven Neil Evans.

**(2008)**

145 Citations

Local properties of Lévy processes on a totally disconnected group

Steven N. Evans.

Journal of Theoretical Probability **(1989)**

143 Citations

Estimating allele age and selection coefficient from time-serial data.

Anna-Sapfo Malaspinas;Orestis Malaspinas;Orestis Malaspinas;Steven N Evans;Montgomery Slatkin.

Genetics **(2012)**

130 Citations

A comparison of phylogenetic reconstruction methods on an Indo‐European dataset

Luay Nakhleh;Tandy Warnow;Don Ringe;Steven N. Evans.

Transactions of the Philological Society **(2005)**

124 Citations

Non-equilibrium theory of the allele frequency spectrum.

Steven N. Evans;Yelena Shvets;Montgomery Slatkin.

Theoretical Population Biology **(2007)**

123 Citations

The phylogenetic Kantorovich-Rubinstein metric for environmental sequence samples

Steven N. Evans;Frederick A. Matsen.

Journal of The Royal Statistical Society Series B-statistical Methodology **(2012)**

122 Citations

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