Johannes Oetsch
- Software top 10%
- Software Testing and Debugging Techniques 3
-
- Logic, Reasoning, and Knowledge 19
- Multi-Agent Systems and Negotiation 12
- Logic, programming, and type systems 10
- Domain Adaptation and Few-Shot Learning 2
-
- Formal Methods in Verification 5
-
- Constraint Satisfaction and Optimization 4
-
- Multimodal Machine Learning Applications 2
Johannes Oetsch
21 papers receiving 83 citations
Peers
Comparison fields: 5 of 27
- Software 24
- Artificial Intelligence 63
- Computational Theory and Mathematics 15
- Hardware and Architecture 5
- Health Informatics 1
Countries citing papers authored by Johannes Oetsch
This map shows the geographic impact of Johannes Oetsch'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 Johannes Oetsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Oetsch more than expected).
Fields of papers citing papers by Johannes Oetsch
This network shows the impact of papers produced by Johannes Oetsch. 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 Johannes Oetsch. The network helps show where Johannes Oetsch may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Johannes Oetsch, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 1 | |
| 9 | Applications of Declarative Programming and Knowledge Management: 19th International Conference, INAP 2011, and 25th Workshop on Logic Programming | 2013 | 1 |
| 10 | 2013 | 3 | |
| 11 | 2013 | 8 | |
| 12 | 2012 | 10 | |
| 13 | On the small-scope hypothesis for testing answer-set programs | 2012 | 5 |
| 14 | 2012 | 5 | |
| 15 | 2011 | 13 | |
| 16 | 2010 | 7 | |
| 17 | 2010 | 2 | |
| 18 | Facts do not cease to exist because they are ignored: relativised uniform equivalence with answer-set projection | 2007 | 9 |
| 19 | A Tool for Advanced Correspondence Checking in Answer-Set Programming: Preliminary Experimental Results. | 2006 | 1 |
| 20 | 2006 | 4 |
About Johannes Oetsch
Johannes Oetsch is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 22 papers that have together received 89 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (19 papers), Multi-Agent Systems and Negotiation (12 papers), Logic, programming, and type systems (10 papers), Formal Methods in Verification (5 papers), Constraint Satisfaction and Optimization (4 papers), Software Testing and Debugging Techniques (3 papers), Multimodal Machine Learning Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Software (24 citations), Artificial Intelligence (63 citations) and Computational Theory and Mathematics (15 citations). Johannes Oetsch has collaborated with scholars based in Austria, Japan and India. Frequent co-authors include Hans Tompits, Jörg Pührer, Stefan Woltran, Katsumi Inoue, Cemal Yılmaz, Thomas Eiter, Esra Erdem, Martina Seidl, Salvador Abreu and Marina De Vos. Their work appears in journals such as Artificial Intelligence, Lecture notes in computer science and Journal of Cardiac Surgery.
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.