What is he best known for?
The fields of study he is best known for:
- Statistics
- Combinatorics
- Artificial intelligence
Mike Steel mainly investigates Phylogenetic tree, Combinatorics, Phylogenetics, Algorithm and Evolutionary biology.
His Phylogenetic tree research is multidisciplinary, incorporating elements of Tree, Theoretical computer science and Maximum likelihood.
The various areas that he examines in his Combinatorics study include Discrete mathematics, Tree structure and Phylogenetic network.
His Phylogenetics research is multidisciplinary, incorporating perspectives in Genome, Sequence analysis and Curse of dimensionality.
His Algorithm study combines topics in areas such as Measure, Distribution, Binary number, Null hypothesis and Tree.
His studies deal with areas such as Taxon, Ecology, Data sequences, Heterotachy and Covarion as well as Evolutionary biology.
His most cited work include:
- Recovering evolutionary trees under a more realistic model of sequence evolution. (908 citations)
- The complexity of reconstructing trees from qualitative characters and subtrees (456 citations)
- Subtree transfer operations and their induced metrics on evolutionary trees (312 citations)
What are the main themes of his work throughout his whole career to date?
Mike Steel focuses on Phylogenetic tree, Combinatorics, Discrete mathematics, Phylogenetics and Evolutionary biology.
His Phylogenetic tree study combines topics from a wide range of disciplines, such as Tree, Algorithm and Taxon.
His study explores the link between Tree and topics such as Theoretical computer science that cross with problems in Autocatalysis.
His research in Combinatorics focuses on subjects like K-ary tree, which are connected to Interval tree and Search tree.
His studies in Discrete mathematics integrate themes in fields like Markov process and Binary number.
His Evolutionary biology study incorporates themes from Ecology and Horizontal gene transfer.
He most often published in these fields:
- Phylogenetic tree (46.14%)
- Combinatorics (36.07%)
- Discrete mathematics (15.22%)
What were the highlights of his more recent work (between 2015-2021)?
- Phylogenetic tree (46.14%)
- Combinatorics (36.07%)
- Theoretical computer science (11.71%)
In recent papers he was focusing on the following fields of study:
His main research concerns Phylogenetic tree, Combinatorics, Theoretical computer science, Autocatalysis and Evolutionary biology.
His Phylogenetic tree research incorporates elements of Tree, Discrete mathematics, Phylogenetics and Character.
In his work, Cover and Degree is strongly intertwined with Structure, which is a subfield of Combinatorics.
In his study, Simple and Bayesian inference is inextricably linked to Feature, which falls within the broad field of Theoretical computer science.
His work deals with themes such as Upper and lower bounds, Abiogenesis and Living systems, which intersect with Autocatalysis.
His Evolutionary biology research includes elements of Phylogenetic diversity, Tree and Ecology.
Between 2015 and 2021, his most popular works were:
- Phylogeny: Discrete and Random Processes in Evolution (123 citations)
- Bayesian Phylogenetic Estimation of Clade Ages Supports Trans-Atlantic Dispersal of Cichlid Fishes. (65 citations)
- Chasing the tail: The emergence of autocatalytic networks. (50 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Combinatorics
- Mathematical analysis
His primary areas of study are Phylogenetic tree, Autocatalysis, Abiogenesis, Combinatorics and Cognitive science.
His Phylogenetic tree research includes themes of Discrete mathematics, Evolutionary biology, Genetic algorithm, Tree and Phylogenetics.
His Evolutionary biology research includes themes of Phylogenetic diversity, Tree, Null model and Extinction.
His Phylogenetics research incorporates elements of Tree, Graph and Theoretical computer science.
The study incorporates disciplines such as Amino acid and Biochemical evolution in addition to Autocatalysis.
Mike Steel works in the field of Combinatorics, focusing on Tree in particular.
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