What is he best known for?
The fields of study Torsten Schaub is best known for:
- Artificial intelligence
- Answer set programming
- Programming language
Torsten Schaub performs multidisciplinary study on Programming language and Software engineering in his works.
He regularly ties together related areas like Answer set programming in his Set (abstract data type) studies.
Artificial intelligence and Selection (genetic algorithm) are commonly linked in his work.
Selection (genetic algorithm) and Artificial intelligence are frequently intertwined in his study.
His work often combines Theoretical computer science and Discrete mathematics studies.
Torsten Schaub combines Discrete mathematics and Theoretical computer science in his studies.
He integrates many fields in his works, including Solver and Mathematical optimization.
Torsten Schaub performs multidisciplinary study in Mathematical optimization and Solver in his work.
His study in Constraint (computer-aided design) extends to Geometry with its themes.
His most cited work include:
- Potassco: The Potsdam Answer Set Solving Collection (377 citations)
- Conflict-driven answer set solving: From theory to practice (242 citations)
- clasp: A Conflict-Driven Answer Set Solver (203 citations)
What are the main themes of his work throughout his whole career to date
In his research, Torsten Schaub performs multidisciplinary study on Programming language and Semantics (computer science).
His multidisciplinary approach integrates Semantics (computer science) and Theoretical computer science in his work.
Theoretical computer science and Algorithm are two areas of study in which he engages in interdisciplinary research.
Torsten Schaub performs integrative study on Algorithm and Programming language in his works.
Set (abstract data type) is closely attributed to Answer set programming in his research.
The study of Answer set programming is intertwined with the study of Set (abstract data type) in a number of ways.
He performs integrative Artificial intelligence and Logic programming research in his work.
In his works, Torsten Schaub undertakes multidisciplinary study on Logic programming and Artificial intelligence.
Torsten Schaub frequently studies issues relating to Default logic and Description logic.
Torsten Schaub most often published in these fields:
- Programming language (83.67%)
- Theoretical computer science (69.39%)
- Set (abstract data type) (64.63%)
What were the highlights of his more recent work (between 2017-2021)?
- Programming language (83.33%)
- Set (abstract data type) (77.78%)
- Theoretical computer science (61.11%)
In recent works Torsten Schaub was focusing on the following fields of study:
In the subject of general Routing (electronic design automation), his work in Embedded system is often linked to Distributed computing, thereby combining diverse domains of study.
In most of his Embedded system studies, his work intersects topics such as Routing (electronic design automation).
In his articles, he combines various disciplines, including Distributed computing and Programming language.
His Programming language study frequently draws connections to adjacent fields such as Process (computing).
He frequently studies issues relating to Answer set programming and Set (abstract data type).
His research ties Satisfiability and Theoretical computer science together.
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Encoding (memory).
His Encoding (memory) study frequently draws connections between related disciplines such as Artificial intelligence.
He applies his multidisciplinary studies on Logic programming and Answer set programming in his research.
Between 2017 and 2021, his most popular works were:
- Multi-shot ASP solving with clingo (97 citations)
- ASP-Core-2 Input Language Format (82 citations)
- $${\varvec{teaspoon}}$$: solving the curriculum-based course timetabling problems with answer set programming (22 citations)
In his most recent research, the most cited works focused on:
- Mathematical optimization
- Temporal logic of actions
- Programming language
His Programming language study frequently involves adjacent topics like Theory of computation.
His work on Answer set programming expands to the thematically related Set (abstract data type).
His work on Set (abstract data type) expands to the thematically related Answer set programming.
In his works, he conducts interdisciplinary research on Theoretical computer science and Theory of computation.
He integrates Mathematical optimization and Scheduling (production processes) in his studies.
He merges many fields, such as Scheduling (production processes) and Mathematical optimization, in his writings.
Artificial intelligence is often connected to Class (philosophy) in his work.
Many of his studies on Class (philosophy) involve topics that are commonly interrelated, such as Artificial intelligence.
The study of Astronomy is intertwined with the study of Course (navigation) in a number of ways.
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