What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Statistics
Alexandros Stamatakis mainly focuses on Phylogenetic tree, Data mining, Phylogenetics, Software and Tree.
His Phylogenetic tree research incorporates elements of Zoology, Statistics and Inference.
His Data mining research is multidisciplinary, incorporating perspectives in Poisson distribution, Algorithm, Set and Reference alignment.
His study on Phylogenetics also encompasses disciplines like
- DNA sequencing and related Concatenation, Theoretical computer science and Missing data,
- Computational biology which intersects with area such as Genetics.
His studies deal with areas such as Data type, Scalability and Supercomputer, Parallel computing as well as Software.
His biological study spans a wide range of topics, including Sequence alignment, Bayesian statistics, Artificial intelligence and Code.
His most cited work include:
- RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. (15351 citations)
- RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models (12484 citations)
- ARB: a software environment for sequence data (5947 citations)
What are the main themes of his work throughout his whole career to date?
Alexandros Stamatakis mostly deals with Phylogenetic tree, Tree, Phylogenetics, Parallel computing and Inference.
His Phylogenetic tree study integrates concerns from other disciplines, such as Evolutionary biology, Theoretical computer science, Data mining, Artificial intelligence and Algorithm.
His Data mining research incorporates themes from Set and Missing data.
The various areas that Alexandros Stamatakis examines in his Phylogenetics study include Taxon, Genome, Computational biology and Metagenomics.
As part of one scientific family, Alexandros Stamatakis deals mainly with the area of Parallel computing, narrowing it down to issues related to the Scalability, and often Code, Software and Cluster analysis.
His work carried out in the field of Inference brings together such families of science as Bayesian inference, Maximum likelihood, Statistics, Heuristics and Computation.
He most often published in these fields:
- Phylogenetic tree (81.27%)
- Tree (40.79%)
- Phylogenetics (42.90%)
What were the highlights of his more recent work (between 2019-2021)?
- Phylogenetic tree (81.27%)
- Phylogenetics (42.90%)
- Evolutionary biology (21.15%)
In recent papers he was focusing on the following fields of study:
His main research concerns Phylogenetic tree, Phylogenetics, Evolutionary biology, Tree and Phylogenetic inference.
His Phylogenetic tree research is multidisciplinary, incorporating elements of Set, Inference, Data mining and Leverage.
His studies in Phylogenetics integrate themes in fields like DNA and DNA sequencing.
As a member of one scientific family, Alexandros Stamatakis mostly works in the field of Tree, focusing on Parallel computing and, on occasion, Maximum likelihood.
His work investigates the relationship between Scalability and topics such as Code that intersect with problems in Software.
His Statistics study incorporates themes from Phylogenomics and Robustness.
Between 2019 and 2021, his most popular works were:
- ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models. (207 citations)
- ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models. (207 citations)
- Eleven grand challenges in single-cell data science (187 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Statistics
Alexandros Stamatakis mainly investigates Phylogenetic tree, Phylogenetics, Evolutionary biology, Snapshot and Degree of confidence.
His Phylogenetic tree research includes themes of Information retrieval and Environmental DNA.
His study on Phylogenetic network is often connected to Type, Pandemic and Betacoronavirus as part of broader study in Phylogenetics.
His Evolutionary biology research is multidisciplinary, relying on both Taxonomy and DNA.
His Snapshot research includes elements of Pangolin and Phylogenetic inference.
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