Thomas Krennwallner
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Information Systems
- Management Science and Operations Research
- Molecular Biology
- Co-authors
- Thomas EiterMichael FinkStefan DeckerAxel PolleresNuno LopesStefan BischofChristoph RedlGiovambattista Ianni
- Topics
- Logic, Reasoning, and Knowledge (12 papers)Multi-Agent Systems and Negotiation (8 papers)Semantic Web and Ontologies (6 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsManagement Science and Operations Research
In The Last Decade
Thomas Krennwallner
17 papers receiving 179 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 172
- Computer Networks and Communications 44
- Information Systems 30
- Management Science and Operations Research 18
- Molecular Biology 11
Countries citing papers authored by Thomas Krennwallner
This map shows the geographic impact of Thomas Krennwallner'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 Thomas Krennwallner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Krennwallner more than expected).
Fields of papers citing papers by Thomas Krennwallner
This network shows the impact of papers produced by Thomas Krennwallner. 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 Thomas Krennwallner. The network helps show where Thomas Krennwallner may publish in the future.
Co-authorship network of co-authors of Thomas Krennwallner
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Krennwallner. A scholar is included among the top collaborators of Thomas Krennwallner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Krennwallner. Thomas Krennwallner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Scheduling matters – Some potential requirements for future rostering competitions from a practitioner’s view | 3 |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 22 | |
| 6 | 17 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 5 | |
| 10 | 56 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | Model Streaming for Distributed Multi-Context Systems. | 1 |
| 15 | Distributed nonmonotonic multi-context systems | 12 |
| 16 | Decomposition of declarative knowledge bases with external functions | 3 |
| 17 | 8 |
About Thomas Krennwallner
Thomas Krennwallner is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research, having authored 17 papers that have together received 197 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (12 papers), Multi-Agent Systems and Negotiation (8 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (172 citations), Computer Networks and Communications (44 citations) and Management Science and Operations Research (18 citations). Thomas Krennwallner has collaborated with scholars based in Austria, Italy and Türkiye. Frequent co-authors include Thomas Eiter, Michael Fink, Stefan Decker, Axel Polleres, Nuno Lopes, Stefan Bischof, Christoph Redl, Giovambattista Ianni, Peter Schüller and Minh Dao-Tran. Their work appears in journals such as Artificial Intelligence, Lecture notes in computer science and Journal of Artificial Intelligence Research.
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.