What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Software
Juan de Lara spends much of his time researching Programming language, Model-driven architecture, Graph rewriting, Model transformation and Metamodeling.
His work on Programming language is being expanded to include thematically relevant topics such as Code generation.
His study in Model-driven architecture is interdisciplinary in nature, drawing from both Generic programming, Software development process, Reuse and Systems engineering.
His work deals with themes such as Abstract syntax, Operational semantics and Artificial intelligence, which intersect with Graph rewriting.
His research integrates issues of Natural language processing and Graph in his study of Artificial intelligence.
His Model transformation research is multidisciplinary, incorporating perspectives in Algorithm, Correctness, Unified Modeling Language and Theoretical computer science.
His most cited work include:
- AToM3: A Tool for Multi-formalism and Meta-modelling (358 citations)
- AToM3: A Tool for Multi-formalism and Meta-modelling (358 citations)
- Supporting user-oriented analysis for multi-view domain-specific visual languages (180 citations)
What are the main themes of his work throughout his whole career to date?
Juan de Lara focuses on Programming language, Graph rewriting, Model-driven architecture, Theoretical computer science and Software engineering.
His research in Programming language intersects with topics in Model transformation and Code generation.
Juan de Lara focuses mostly in the field of Graph rewriting, narrowing it down to topics relating to Artificial intelligence and, in certain cases, Natural language processing.
His Model-driven architecture study integrates concerns from other disciplines, such as Context and Domain-specific language.
His Theoretical computer science research includes elements of Rule-based machine translation and Category theory.
His Software engineering research integrates issues from Software, Software development and Systems engineering.
He most often published in these fields:
- Programming language (36.79%)
- Graph rewriting (26.07%)
- Model-driven architecture (22.14%)
What were the highlights of his more recent work (between 2016-2021)?
- Model-driven architecture (22.14%)
- Software engineering (17.86%)
- Programming language (36.79%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Model-driven architecture, Software engineering, Programming language, Model transformation and Software.
His work carried out in the field of Model-driven architecture brings together such families of science as Object, Mutation and Metamodeling.
As part of the same scientific family, Juan de Lara usually focuses on Metamodeling, concentrating on Class and intersecting with Relation.
His Software engineering research includes themes of Context, Software development and Product.
Juan de Lara integrates many fields in his works, including Programming language and Mutation testing.
His Model transformation research focuses on subjects like Reuse, which are linked to Reusability.
Between 2016 and 2021, his most popular works were:
- Static Analysis of Model Transformations (37 citations)
- Collaborative Modeling and Group Decision Making Using Chatbots in Social Networks (25 citations)
- A Posteriori Typing for Model-Driven Engineering: Concepts, Analysis, and Applications (19 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Software
Juan de Lara mostly deals with Model-driven architecture, Software engineering, Model transformation, Programming language and Transformation.
His studies deal with areas such as Object, Domain-specific language, Theoretical computer science and Metamodeling as well as Model-driven architecture.
As a member of one scientific family, Juan de Lara mostly works in the field of Software engineering, focusing on Digital subscriber line and, on occasion, Containment, Adjacency list, Abstract syntax and Personalization.
The various areas that Juan de Lara examines in his Model transformation study include Unified Modeling Language, Static analysis and Reuse.
His Programming language study often links to related topics such as Code generation.
In Transformation, Juan de Lara works on issues like Algorithm, which are connected to Program analysis, Identification and Ranking.
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