Peter Schüller

1.5k citations
66 papers · 672 · h-index 15

Impact in

Papers in

    • Logic, Reasoning, and Knowledge 40
    • Multi-Agent Systems and Negotiation 30
    • Semantic Web and Ontologies 17
    • Logic, programming, and type systems 11
    • AI-based Problem Solving and Planning 7
    • Topic Modeling 7
    • Anomaly Detection Techniques and Applications 5
    • Stellar, planetary, and galactic studies 5

Peter Schüller

63 papers receiving 634 citations

Peers

Peter Schüller
Comparison fields: 5 of 62
  • Artificial Intelligence 481
  • Computer Vision and Pattern Recognition 129
  • Instrumentation 19
  • Computer Networks and Communications 105
  • Astronomy and Astrophysics 60
Replace Leocundo Aguilar with:
Leocundo Aguilar Mexico
John W. Romein Netherlands
Klaus Becker Germany
Xiaoyao Xie China
Renaud Sirdey France
Yaling Xun China
Bo Ning China
Carsten Trinitis Germany
Ding United States
Marcos V. S. Alves Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Peter Schüller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Schüller Line = papers co-authored together Peter Schüller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013115
2 201441
3 200340
4 201531
5
Tackling Winograd Schemas by formalizing relevance theory in knowledge graphs
201422
6 202121
7 201421
8
Finding explanations of inconsistency in multi-context systems
201020
9 201020
10 201618
11 200416
12 201316
13 201616
14 200516
15 201815
16 201214
17 201813
18 201113
19 201712
20 202010

About Peter Schüller

Peter Schüller is a scholar working on Artificial Intelligence, Astronomy and Astrophysics, Control and Systems Engineering, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 66 papers that have together received 672 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (40 papers), Multi-Agent Systems and Negotiation (30 papers), Semantic Web and Ontologies (17 papers), Logic, programming, and type systems (11 papers), AI-based Problem Solving and Planning (7 papers), Topic Modeling (7 papers), Stellar, planetary, and galactic studies (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (481 citations), Computer Vision and Pattern Recognition (129 citations), Instrumentation (19 citations), Computer Networks and Communications (105 citations) and Astronomy and Astrophysics (60 citations). Peter Schüller has collaborated with scholars based in Austria, Türkiye and Germany. Frequent co-authors include Thomas Eiter, Esra Erdem, Michael Fink, Christoph Redl, Thomas Krennwallner, Giovambattista Ianni, Oliver Niggemann, Yuliya Lierler, Volkan Patoğlu and Federico Pecora. Their work appears in journals such as Theory and Practice of Logic Programming, Artificial Intelligence, Lecture notes in computer science, Expert Systems with Applications and Machine Learning.

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.

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