Sebastian Ordyniak
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- Advanced Graph Theory Research 31
- Complexity and Algorithms in Graphs 19
- Formal Methods in Verification 16
- Artificial Intelligence top 10%
- Logic, Reasoning, and Knowledge 23
- Machine Learning and Algorithms 9
- Bayesian Modeling and Causal Inference 8
- AI-based Problem Solving and Planning 7
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- Constraint Satisfaction and Optimization 26
- Co-authors
- Stefan SzeiderRobert GanianWolfgang DvořákSerge GaspersDaniël PaulusmaM. S. RamanujanPeter JönssonDušan Knop
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Networks and Communications
- Journals
- Artificial Intelligence (8 papers)Theoretical Computer Science (3 papers)Journal of Computer and System Sciences (6 papers)
- Partner nations
- AustriaUnited KingdomCzechia
In The Last Decade
Sebastian Ordyniak
64 papers receiving 353 citations
Peers
Comparison fields: 5 of 40
- Computational Theory and Mathematics 208
- Artificial Intelligence 190
- Computer Networks and Communications 96
- Management Science and Operations Research 33
- Software 10
Countries citing papers authored by Sebastian Ordyniak
This map shows the geographic impact of Sebastian Ordyniak'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 Sebastian Ordyniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Ordyniak more than expected).
Fields of papers citing papers by Sebastian Ordyniak
This network shows the impact of papers produced by Sebastian Ordyniak. 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 Sebastian Ordyniak. The network helps show where Sebastian Ordyniak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Ordyniak, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 17 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2013 | 16 | |
| 17 | 2012 | 37 | |
| 18 | 2011 | 13 | |
| 19 | 2011 | 7 | |
| 20 | Algorithms and complexity results for exact Bayesian structure learning | 2010 | 11 |
About Sebastian Ordyniak
Sebastian Ordyniak is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 73 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (31 papers), Constraint Satisfaction and Optimization (26 papers), Logic, Reasoning, and Knowledge (23 papers), Complexity and Algorithms in Graphs (19 papers), Formal Methods in Verification (16 papers), Machine Learning and Algorithms (9 papers), Bayesian Modeling and Causal Inference (8 papers) and AI-based Problem Solving and Planning (7 papers). The work is most often cited by research in Computational Theory and Mathematics (208 citations), Artificial Intelligence (190 citations) and Computer Networks and Communications (96 citations). Sebastian Ordyniak has collaborated with scholars based in Austria, United Kingdom and Czechia. Frequent co-authors include Stefan Szeider, Robert Ganian, Wolfgang Dvořák, Serge Gaspers, Daniël Paulusma, M. S. Ramanujan, Peter Jönsson, Dušan Knop, Petr Hliněný and Stanislav Živný. Their work appears in journals such as Artificial Intelligence, Theoretical Computer Science and Journal of Computer and System Sciences.
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.