H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 52 Citations 9,961 276 World Ranking 2599 National Ranking 116

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Artificial intelligence
  • Algorithm

Torsten Schaub mainly investigates Answer set programming, Theoretical computer science, Solver, Programming language and Artificial intelligence. His Answer set programming research is classified as research in Set. His study in the fields of Logic programming under the domain of Theoretical computer science overlaps with other disciplines such as Portfolio.

His studies deal with areas such as Satisfiability and Modular design as well as Solver. His Input language, Modeling language, Debugging and Algorithmic program debugging study, which is part of a larger body of work in Programming language, is frequently linked to Process, bridging the gap between disciplines. His work in the fields of Artificial intelligence, such as Non-monotonic logic and Default argument, intersects with other areas such as Default.

His most cited work include:

  • Potassco: The Potsdam Answer Set Solving Collection (398 citations)
  • Answer Set Solving in Practice (334 citations)
  • Conflict-driven answer set solving (286 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Answer set programming, Theoretical computer science, Artificial intelligence, Programming language and Set. His work carried out in the field of Answer set programming brings together such families of science as Solver, Computation, Semantics and Knowledge representation and reasoning. The Solver study combines topics in areas such as Domain and Satisfiability.

In general Theoretical computer science study, his work on Stable model semantics often relates to the realm of Context, thereby connecting several areas of interest. His work on Default logic, Non-monotonic logic and Belief revision as part of general Artificial intelligence research is frequently linked to Process, bridging the gap between disciplines. His Programming language study often links to related topics such as Semantics.

He most often published in these fields:

  • Answer set programming (56.76%)
  • Theoretical computer science (49.14%)
  • Artificial intelligence (28.99%)

What were the highlights of his more recent work (between 2017-2020)?

  • Answer set programming (56.76%)
  • Programming language (25.80%)
  • Theoretical computer science (49.14%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Answer set programming, Programming language, Theoretical computer science, Logic programming and Set. His Answer set programming research includes elements of Implementation, Distributed computing and Knowledge representation and reasoning. His Solver, Syntax, Vampire and Software study in the realm of Programming language connects with subjects such as Anthem.

His Theoretical computer science research incorporates elements of Language construct, Logical framework and Extension. His Logic programming study combines topics in areas such as Hybrid approach, Python, Scalability, Preprocessor and Software engineering. His study in Set is interdisciplinary in nature, drawing from both Range, Modeling language and Key.

Between 2017 and 2020, his most popular works were:

  • ASP-Core-2 Input Language Format (71 citations)
  • Multi-shot ASP solving with clingo (49 citations)
  • Evaluation Techniques and Systems for Answer Set Programming: a Survey (34 citations)

In his most recent research, the most cited papers focused on:

  • Programming language
  • Artificial intelligence
  • Algorithm

Torsten Schaub focuses on Answer set programming, Programming language, Set, Theoretical computer science and Mathematical optimization. Torsten Schaub has researched Answer set programming in several fields, including Multi-objective optimization and Implementation. His work on Automated reasoning and Solver as part of general Programming language research is frequently linked to Process, thereby connecting diverse disciplines of science.

Set is closely attributed to Modeling language in his research. His studies link Extension with Theoretical computer science. His Mathematical optimization research integrates issues from Abstraction and Robot.

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.

Top Publications

Potassco: The Potsdam Answer Set Solving Collection

Martin Gebser;Benjamin Kaufmann;Roland Kaminski;Max Ostrowski.
Ai Communications (2011)

516 Citations

Answer Set Solving in Practice

Martin Gebser;Roland Kaminski;Benjamin Kaufmann;Torsten Schaub.
(2012)

515 Citations

Conflict-driven answer set solving

Martin Gebser;Benjamin Kaufmann;André Neumann;Torsten Schaub.
international joint conference on artificial intelligence (2007)

461 Citations

Clasp: a conflict-driven answer set solver

Martin Gebser;Benjamin Kaufmann;André Neumann;Torsten Schaub.
international conference on logic programming (2007)

379 Citations

Conflict-driven answer set solving: From theory to practice

Martin Gebser;Benjamin Kaufmann;Torsten Schaub.
Artificial Intelligence (2012)

349 Citations

Clingo = ASP + Control: Preliminary Report

Martin Gebser;Roland Kaminski;Benjamin Kaufmann;Torsten Schaub.
arXiv: Programming Languages (2014)

261 Citations

GrinGo: a new grounder for answer set programming

Martin Gebser;Torsten Schaub;Sven Thiele.
international conference on logic programming (2007)

244 Citations

Advances in gringo series 3

Martin Gebser;Roland Kaminski;Arne König;Torsten Schaub.
international conference on logic programming (2011)

172 Citations

A framework for compiling preferences in logic programs

James P. Delgrande;Torsten Schaub;Hans Tompits.
Theory and Practice of Logic Programming (2003)

165 Citations

A Classification and Survey of Preference Handling Approaches in Nonmonotonic Reasoning

James Patrick Delgrande;Torsten Schaub;Hans Tompits;Kewen Wang.
computational intelligence (2004)

159 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Torsten Schaub

Thomas Eiter

Thomas Eiter

TU Wien

Publications: 107

Stefan Woltran

Stefan Woltran

TU Wien

Publications: 101

Nicola Leone

Nicola Leone

University of Calabria

Publications: 75

Wolfgang Faber

Wolfgang Faber

University of Klagenfurt

Publications: 60

Enrico  Pontelli

Enrico Pontelli

New Mexico State University

Publications: 51

Marc Denecker

Marc Denecker

KU Leuven

Publications: 46

Hans Tompits

Hans Tompits

TU Wien

Publications: 44

Grigoris Antoniou

Grigoris Antoniou

University of Huddersfield

Publications: 42

Miroslaw Truszczynski

Miroslaw Truszczynski

University of Kentucky

Publications: 35

Gerhard Brewka

Gerhard Brewka

Leipzig University

Publications: 33

Agostino Dovier

Agostino Dovier

University of Udine

Publications: 30

Martin Gebser

Martin Gebser

University of Klagenfurt

Publications: 24

Vladimir Lifschitz

Vladimir Lifschitz

The University of Texas at Austin

Publications: 24

Martine De Cock

Martine De Cock

University of Washington

Publications: 23

Gerhard Friedrich

Gerhard Friedrich

University of Klagenfurt

Publications: 21

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