What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Software
Programming language, Domain-specific language, Evolutionary algorithm, Domain and Artificial intelligence are his primary areas of study.
His research in Domain-specific language tackles topics such as Digital subscriber line which are related to areas like Field and World Wide Web.
Marjan Mernik combines subjects such as Evolutionary computation and Management science with his study of Evolutionary algorithm.
His Evolutionary computation research is multidisciplinary, incorporating elements of Differential evolution, Adaptive control, Adaptive algorithm and Benchmark.
His studies in Domain integrate themes in fields like Design pattern, Design knowledge and Domain analysis.
His Artificial intelligence research includes elements of Tree, Swarm intelligence and Machine learning.
His most cited work include:
- Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems (2280 citations)
- When and how to develop domain-specific languages (1349 citations)
- Exploration and exploitation in evolutionary algorithms: A survey (723 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Programming language, Domain-specific language, Software engineering, Artificial intelligence and Evolutionary algorithm.
In his research, Parsing is intimately related to Grammar, which falls under the overarching field of Programming language.
His research in Domain-specific language intersects with topics in Digital subscriber line, Domain analysis, Problem domain, Notation and Syntax.
He usually deals with Software engineering and limits it to topics linked to Software development and Domain-specific modeling.
Marjan Mernik has included themes like Machine learning and Natural language processing in his Artificial intelligence study.
His Evolutionary algorithm research is multidisciplinary, incorporating perspectives in Evolutionary computation, Algorithm and Theoretical computer science.
He most often published in these fields:
- Programming language (58.11%)
- Domain-specific language (24.32%)
- Software engineering (22.97%)
What were the highlights of his more recent work (between 2015-2021)?
- Evolutionary algorithm (14.86%)
- Software engineering (22.97%)
- Programming language (58.11%)
In recent papers he was focusing on the following fields of study:
Marjan Mernik focuses on Evolutionary algorithm, Software engineering, Programming language, Algorithm and Ranking.
His Evolutionary algorithm research is classified as research in Mathematical optimization.
His Software engineering research includes themes of Unit testing, Reliability and Software Design and Development.
His Programming language study combines topics from a wide range of disciplines, such as Abstraction, Replication and Session.
His Algorithm research incorporates elements of Computational intelligence, Replication, Categorical variable, Optimization algorithm and Crossover.
His research in Formal semantics focuses on subjects like Multi-agent system, which are connected to Rule-based machine translation and Domain-specific language.
Between 2015 and 2021, his most popular works were:
- Domain-Specific Languages (99 citations)
- Is a comparison of results meaningful from the inexact replications of computational experiments (58 citations)
- Parameter tuning with Chess Rating System (CRS-Tuning) for meta-heuristic algorithms (43 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Software
Marjan Mernik mostly deals with Evolutionary algorithm, Ranking, Algorithm, Domain-specific language and Data mining.
Evolutionary algorithm is a subfield of Mathematical optimization that Marjan Mernik explores.
His study in Ranking is interdisciplinary in nature, drawing from both Crossover, Differential evolution, Categorical variable and Mutation.
His studies deal with areas such as Optimization algorithm, Multiple comparisons problem, Computational intelligence and Replication as well as Algorithm.
He works mostly in the field of Domain-specific language, limiting it down to concerns involving Field and, occasionally, Domain analysis and World Wide Web.
His work carried out in the field of Data mining brings together such families of science as Multi-objective optimization, Use case, Reliability and Code generation.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
