What is he best known for?
The fields of study he is best known for:
- Programming language
- Software
- Artificial intelligence
His main research concerns Graph rewriting, Programming language, Theoretical computer science, Graph and Model transformation.
His Graph rewriting research includes themes of Strong and weak typing, Clique-width, Moral graph, Formal specification and Null graph.
He interconnects Graph property and Directed graph in the investigation of issues within Null graph.
His Programming language study which covers Data integration that intersects with Consistency, Field, Model transformation language and Software design.
His Theoretical computer science research incorporates elements of Abstract semantic graph and Graph.
The various areas that Andy Schürr examines in his Graph study include Software development, Context-free grammar, Abstract syntax, Software engineering and Data structure.
His most cited work include:
- Specification of Graph Translators with Triple Graph Grammars (624 citations)
- Applications of Graph Transformations with Industrial Relevance (231 citations)
- GXL: toward a standard exchange format (228 citations)
What are the main themes of his work throughout his whole career to date?
Andy Schürr mostly deals with Theoretical computer science, Graph rewriting, Programming language, Graph and Software engineering.
His Theoretical computer science study combines topics from a wide range of disciplines, such as Consistency and Model transformation.
His biological study spans a wide range of topics, including Algorithm, Graph database and Null graph.
His studies in Null graph integrate themes in fields like Graph property, Clique-width and Directed graph.
Within one scientific family, Andy Schürr focuses on topics pertaining to Artificial intelligence under Graph, and may sometimes address concerns connected to Natural language processing.
His Software engineering research is multidisciplinary, relying on both Software system, Software and Software development.
He most often published in these fields:
- Theoretical computer science (30.71%)
- Graph rewriting (30.71%)
- Programming language (27.34%)
What were the highlights of his more recent work (between 2017-2021)?
- Theoretical computer science (30.71%)
- Consistency (9.36%)
- Software engineering (19.85%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Theoretical computer science, Consistency, Software engineering, Graph rewriting and Software.
His Theoretical computer science research is multidisciplinary, incorporating elements of Synchronization, Graph and Model transformation, Triple graph grammars.
His Graph study frequently draws connections between related disciplines such as Data integrity.
His Software engineering research incorporates themes from Software quality assurance, Theme and Software evolution.
His Graph rewriting study introduces a deeper knowledge of Graph.
His Software research is multidisciplinary, incorporating perspectives in Domain, Semantics, Set and Formal specification.
Between 2017 and 2021, his most popular works were:
- Optimal reconfiguration of dynamic software product lines based on performance-influence models (12 citations)
- A systematic approach to constructing families of incremental topology control algorithms using graph transformation (9 citations)
- Efficient Model Synchronization by Automatically Constructed Repair Processes (7 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Artificial intelligence
Andy Schürr focuses on Theoretical computer science, Graph rewriting, Consistency, Graph and Synchronization.
His study on Theoretical computer science is mostly dedicated to connecting different topics, such as Triple graph grammars.
Andy Schürr merges Graph rewriting with Topology optimization in his study.
His work in Consistency covers topics such as Task which are related to areas like Domain, Concurrent engineering, Problem domain, Software and Software engineering.
His research integrates issues of Mathematical optimization and Monotonic function in his study of Graph.
His studies deal with areas such as Model transformation and Theory of computation as well as Correctness.
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