What is he best known for?
The fields of study he is best known for:
- Programming language
- Software
- Artificial intelligence
Michael Hucka spends much of his time researching SBML, BioModels Database, Systems biology, Resource and Systems Biology Ontology.
The various areas that Michael Hucka examines in his SBML study include CellML and Programming language.
He mostly deals with Systems Biology Graphical Notation in his studies of Programming language.
He combines subjects such as Data mining, Software, Software suite, Toolbox and Data science with his study of Systems biology.
The study incorporates disciplines such as Annotation, Controlled vocabulary, Information retrieval, Computational biology and Scope in addition to Resource.
While the research belongs to areas of Systems Biology Ontology, he spends his time largely on the problem of Modelling biological systems, intersecting his research to questions surrounding Physiome.
His most cited work include:
- The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. (2637 citations)
- A community-driven global reconstruction of human metabolism (764 citations)
- The Systems Biology Graphical Notation (670 citations)
What are the main themes of his work throughout his whole career to date?
SBML, Software, Programming language, Systems biology and Markup language are his primary areas of study.
His SBML research is multidisciplinary, relying on both Theoretical computer science and Computational model.
The Software development research Michael Hucka does as part of his general Software study is frequently linked to other disciplines of science, such as Reuse, therefore creating a link between diverse domains of science.
His Systems biology study which covers Data science that intersects with Variety.
Michael Hucka has included themes like Software system and File format in his Markup language study.
His work deals with themes such as CellML, Resource and Information retrieval, which intersect with BioModels Database.
He most often published in these fields:
- SBML (46.27%)
- Software (38.06%)
- Programming language (33.58%)
What were the highlights of his more recent work (between 2016-2020)?
- SBML (46.27%)
- Programming language (33.58%)
- Systems biology (33.58%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in SBML, Programming language, Systems biology, Interoperability and Data science.
SBML is closely attributed to CellML in his work.
In general Programming language, his work in Software package and Correctness is often linked to Test suite, Conformance testing and Nostril linking many areas of study.
The concepts of his Systems biology study are interwoven with issues in Software, Java annotation, Software engineering and Synthetic biology.
His Interoperability study incorporates themes from Set, Protocol, Computational model and Visualization.
His Data science study integrates concerns from other disciplines, such as Variety, Field and Source code.
Between 2016 and 2020, his most popular works were:
- Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0 (297 citations)
- The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 1 Core. (121 citations)
- SBML Level 3: an extensible format for the exchange and reuse of biological models (42 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Artificial intelligence
His primary areas of study are Interoperability, Computational model, SBML, Software and Protocol.
His work in Computational model addresses subjects such as Annotation, which are connected to disciplines such as Information retrieval, Controlled vocabulary, Python and CellML.
SBML is a subfield of Markup language that he investigates.
His study in Markup language is interdisciplinary in nature, drawing from both Programming language and Software system.
His study in Systems biology extends to Software with its themes.
As a member of one scientific family, Michael Hucka mostly works in the field of Protocol, focusing on Cobra and, on occasion, Visualization, Graph drawing and Systems engineering.
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