What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Artificial intelligence
- Surgery
Peter Hunter spends much of his time researching Physiome, Finite element method, CellML, Virtual Physiological Human and Geometry.
His work often combines Physiome and Computational physiology studies.
Peter Hunter has included themes like Basis function, Mathematical analysis and Hermite polynomials in his Finite element method study.
The study incorporates disciplines such as Programming language, Theoretical computer science and Systems biology in addition to CellML.
The Systems Biology Graphical Notation research Peter Hunter does as part of his general Programming language study is frequently linked to other disciplines of science, such as Regulation of gene expression, therefore creating a link between diverse domains of science.
His research in Virtual Physiological Human intersects with topics in Lifetime risk, Data management and System integration.
His most cited work include:
- The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. (2637 citations)
- Laminar structure of the heart: ventricular myocyte arrangement and connective tissue architecture in the dog (665 citations)
- Mathematical model of geometry and fibrous structure of the heart. (590 citations)
What are the main themes of his work throughout his whole career to date?
Peter Hunter focuses on Physiome, Finite element method, CellML, Data science and Anatomy.
His studies in Physiome integrate themes in fields like Computational biology, Markup language, Computational model and Virtual Physiological Human.
His Finite element method research is multidisciplinary, incorporating perspectives in Geometry, Polygon mesh, Mechanics and Mathematical analysis.
In his research, Hemodynamics is intimately related to Blood flow, which falls under the overarching field of Mechanics.
Mathematical analysis is closely attributed to Orthotropic material in his research.
Peter Hunter interconnects Programming language, Software, Metadata and Software engineering in the investigation of issues within CellML.
He most often published in these fields:
- Physiome (21.70%)
- Finite element method (17.00%)
- CellML (14.77%)
What were the highlights of his more recent work (between 2013-2021)?
- Physiome (21.70%)
- Data science (10.74%)
- CellML (14.77%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Physiome, Data science, CellML, Computational model and Artificial intelligence.
His work carried out in the field of Physiome brings together such families of science as Ontology, Health care, Reuse, Software engineering and Computational biology.
The concepts of his Data science study are interwoven with issues in Annotation, Software, Markup language and Interoperability.
His CellML research incorporates themes from Programming language, Mathematical model and Metadata.
As a part of the same scientific family, Peter Hunter mostly works in the field of Computational model, focusing on Workflow and, on occasion, User Friendly.
His Artificial intelligence study combines topics in areas such as Machine learning and Computer vision.
Between 2013 and 2021, his most popular works were:
- Big Data, Big Knowledge: Big Data for Personalized Healthcare (143 citations)
- Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them (58 citations)
- OpenCOR: a modular and interoperable approach to computational biology. (50 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Surgery
His primary areas of study are Physiome, Data science, CellML, Modular design and Virtual Physiological Human.
He performs multidisciplinary study in Physiome and Mechanism in his work.
His Data science study integrates concerns from other disciplines, such as Data management, Systems medicine, Systems biology, Biomedicine and Ecology and Evolutionary Biology.
Peter Hunter combines subjects such as Annotation, Programming language, Metadata and Reuse with his study of CellML.
His Modular design research is multidisciplinary, incorporating elements of Topology, Representation, Software engineering and Process.
While the research belongs to areas of XML, Peter Hunter spends his time largely on the problem of Interoperability, intersecting his research to questions surrounding Markup language.
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