Peter Schüller
Impact in
- Artificial Intelligence top 5%
- Logic, Reasoning, and Knowledge
- Multi-Agent Systems and Negotiation
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Topic Modeling
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- Robotic Path Planning Algorithms
Papers in
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- Logic, Reasoning, and Knowledge 25
- Multi-Agent Systems and Negotiation 20
- Semantic Web and Ontologies 12
- AI-based Problem Solving and Planning 7
- Logic, programming, and type systems 5
- Topic Modeling 5
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- Stellar, planetary, and galactic studies 5
- Co-authors
- Esra Erdem (4 shared papers)Thomas Eiter (8 shared papers)Michael Fink (5 shared papers)Christoph Redl (3 shared papers)Masoumeh Mansouri (1 shared paper)Thomas Krennwallner (2 shared papers)Volkan Patoğlu (2 shared papers)Federico Pecora (1 shared paper)
In The Last Decade
Peter Schüller
44 papers receiving 423 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 282
- Computer Vision and Pattern Recognition 114
- Instrumentation 17
- Astronomy and Astrophysics 58
- Computer Networks and Communications 75
Countries citing papers authored by Peter Schüller
This map shows the geographic impact of Peter Schüller'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 Peter Schüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schüller more than expected).
Fields of papers citing papers by Peter Schüller
This network shows the impact of papers produced by Peter Schüller. 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 Peter Schüller. The network helps show where Peter Schüller may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Schüller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 104 | |
| 2 | 2003 | 37 | |
| 3 | 2014 | 27 | |
| 4 | 2015 | 22 | |
| 5 | Tackling Winograd Schemas by formalizing relevance theory in knowledge graphs | 2014 | 21 |
| 6 | 2021 | 20 | |
| 7 | 2014 | 17 | |
| 8 | 2004 | 16 | |
| 9 | 2005 | 16 | |
| 10 | 2013 | 15 | |
| 11 | 2016 | 13 | |
| 12 | 2018 | 12 | |
| 13 | Finding explanations of inconsistency in multi-context systems | 2010 | 11 |
| 14 | 2016 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2017 | 10 | |
| 17 | Problem Solving Using the HEX Family. | 2016 | 7 |
| 18 | 2017 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2020 | 6 |
About Peter Schüller
Peter Schüller is a scholar working on Artificial Intelligence, Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics, Instrumentation and Control and Systems Engineering, having authored 46 papers that have together received 450 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (25 papers), Multi-Agent Systems and Negotiation (20 papers), Semantic Web and Ontologies (12 papers), AI-based Problem Solving and Planning (7 papers), Stellar, planetary, and galactic studies (5 papers), Adaptive optics and wavefront sensing (5 papers), Logic, programming, and type systems (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (282 citations), Computer Vision and Pattern Recognition (114 citations), Instrumentation (17 citations), Astronomy and Astrophysics (58 citations) and Computer Networks and Communications (75 citations). Peter Schüller has collaborated with scholars based in Türkiye, Austria and Germany. Frequent co-authors include Esra Erdem, Thomas Eiter, Michael Fink, Christoph Redl, Masoumeh Mansouri, Thomas Krennwallner, Volkan Patoğlu, Federico Pecora, Oliver Niggemann and Giovambattista Ianni. Their work appears in journals such as Theory and Practice of Logic Programming, Artificial Intelligence, Journal of Artificial Intelligence Research, Machine Learning and Journal of Intelligent Manufacturing.
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.