Bryan Renne
- Artificial Intelligence top 10%
- Computational Theory and Mathematics
- Sociology and Political Science
- Computer Networks and Communications
- Cellular and Molecular Neuroscience
- Co-authors
- Barteld KooiAlexandru BaltagSonja SmetsSergei ArtëmovRoman KuznetsThomas StuderPaul SteinbokAsh Singhal
- Topics
- Logic, Reasoning, and Knowledge (16 papers)Multi-Agent Systems and Negotiation (13 papers)Semantic Web and Ontologies (10 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsHistory and Philosophy of Science
- Partner nations
- NetherlandsCanadaUnited States
In The Last Decade
Bryan Renne
18 papers receiving 157 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 147
- Computational Theory and Mathematics 35
- Sociology and Political Science 10
- Computer Networks and Communications 7
- Cellular and Molecular Neuroscience 7
Countries citing papers authored by Bryan Renne
This map shows the geographic impact of Bryan Renne'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 Bryan Renne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Renne more than expected).
Fields of papers citing papers by Bryan Renne
This network shows the impact of papers produced by Bryan Renne. 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 Bryan Renne. The network helps show where Bryan Renne may publish in the future.
Co-authorship network of co-authors of Bryan Renne
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Renne. A scholar is included among the top collaborators of Bryan Renne 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 Bryan Renne. Bryan Renne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | Update, probability, knowledge and belief | 2 |
| 5 | Dynamic Epistemic Logic | 24 |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 10 | |
| 9 | 26 | |
| 10 | 17 | |
| 11 | Justified belief change | 8 |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | Proceedings of Theoretical Aspects of Rationality and Knowledge TARK 2009 | 2 |
| 16 | Dynamic epistemic logic with justification | 11 |
| 17 | 6 | |
| 18 | TR-2007025: Public Communication in Justification Logic | 1 |
| 19 | TR-2007012: The Relative Expressivity of Public and Private Communication in BMS Logic | 2 |
About Bryan Renne
Bryan Renne is a scholar working on General Decision Sciences, Artificial Intelligence and Computational Theory and Mathematics, having authored 19 papers that have together received 161 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (16 papers), Multi-Agent Systems and Negotiation (13 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Artificial Intelligence (147 citations), Computational Theory and Mathematics (35 citations) and History and Philosophy of Science (3 citations). Bryan Renne has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Barteld Kooi, Alexandru Baltag, Sonja Smets, Sergei Artëmov, Roman Kuznets, Thomas Studer, Paul Steinbok, Ash Singhal, Stefan Mark Rueckriegel and James P. Delgrande. Their work appears in journals such as Artificial Intelligence, Synthese and Journal of Neurosurgery Pediatrics.
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.