Markus Triska
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Logic, programming, and type systems
- AI-based Problem Solving and Planning
Papers in ⓘ
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- Logic, programming, and type systems 3
- Artificial Intelligence in Games 1
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- Constraint Satisfaction and Optimization 2
- Optimization and Search Problems 1
- Co-authors
- Tom Schrijvers (3 shared papers)Jan Wielemaker (2 shared papers)Torbjörn Lager (1 shared paper)Nysret Musliu (2 shared papers)Bart Demoen (2 shared papers)
- Journals
- Science of Computer Programming (2 papers)Annals of Operations Research (2 papers)Theory and Practice of Logic Programming (1 paper)Lund University Publications (Lund University) (1 paper)reposiTUm (TU Wien) (1 paper)
- Partner nations
- AustriaBelgiumNetherlands
In The Last Decade
Markus Triska
7 papers receiving 199 citations
Peers
Comparison fields: 5 of 58
- Software 30
- Artificial Intelligence 130
- Computer Networks and Communications 55
- Information Systems 48
- Signal Processing 22
Countries citing papers authored by Markus Triska
This map shows the geographic impact of Markus Triska's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Triska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Triska more than expected).
Fields of papers citing papers by Markus Triska
This network shows the impact of papers produced by Markus Triska. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Triska. The network helps show where Markus Triska may publish in the future.
Co-authors
The 5 scholars most cited alongside Markus Triska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 178 | |
| 2 | 2012 | 7 | |
| 3 | 2010 | 7 | |
| 4 | 2013 | 5 | |
| 5 | SWI Prolog Reference Manual 6.2.2 | 2012 | 5 |
| 6 | 2011 | 5 | |
| 7 | 2013 | 4 | |
| 8 | 2018 | 0 |
About Markus Triska
Markus Triska is a scholar working on Artificial Intelligence, Computer Networks and Communications, Marketing, Hardware and Architecture and Computational Theory and Mathematics, having authored 8 papers that have together received 211 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Consumer Market Behavior and Pricing (2 papers), Formal Methods in Verification (2 papers), Constraint Satisfaction and Optimization (2 papers), Optimization and Search Problems (1 paper), Advanced MEMS and NEMS Technologies (1 paper), Artificial Intelligence in Games (1 paper) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Software (30 citations), Artificial Intelligence (130 citations), Computer Networks and Communications (55 citations), Information Systems (48 citations) and Signal Processing (22 citations). Markus Triska has collaborated with scholars based in Austria, Belgium and Netherlands. Frequent co-authors include Tom Schrijvers, Jan Wielemaker, Torbjörn Lager, Nysret Musliu and Bart Demoen. Their work appears in journals such as Science of Computer Programming, Annals of Operations Research, Theory and Practice of Logic Programming, Lund University Publications (Lund University) and reposiTUm (TU Wien).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.