Rob Miller
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics
- Information Systems
- Signal Processing
- Co-authors
- Murray ShanahanAntonis KakasAntonis BikakisJon OgbornFrancesca ToniLoizos MichaelJoan BlissHarvey Mellar
- Topics
- Logic, Reasoning, and Knowledge (12 papers)Semantic Web and Ontologies (10 papers)Multi-Agent Systems and Negotiation (7 papers)
- Partner nations
- United KingdomCyprusUnited States
In The Last Decade
Rob Miller
16 papers receiving 198 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 190
- Computer Networks and Communications 54
- Computational Theory and Mathematics 33
- Information Systems 24
- Signal Processing 21
Countries citing papers authored by Rob Miller
This map shows the geographic impact of Rob Miller'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 Rob Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Miller more than expected).
Fields of papers citing papers by Rob Miller
This network shows the impact of papers produced by Rob Miller. 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 Rob Miller. The network helps show where Rob Miller may publish in the future.
Co-authorship network of co-authors of Rob Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Rob Miller. A scholar is included among the top collaborators of Rob Miller 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 Rob Miller. Rob Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | STAR: A System of Argumentation for Story Comprehension and Beyond. | 3 |
| 5 | Cognitive-based visualization of semantically structured cultural heritage data | 5 |
| 6 | A psychology-inspired approach to automated narrative text comprehension | 0 |
| 7 | Reasoning about triggered scenarios in logic programming | 0 |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | The Event Calculus in Classical Logic - Alternative Axiomatisations. | 68 |
| 13 | 38 | |
| 14 | Reasoning about discontinuities in the event calculus | 16 |
| 15 | A Case Study in Reasoning about Actions and Continuous Change. | 7 |
| 16 | 42 | |
| 17 | 15 | |
| 18 | 12 |
About Rob Miller
Rob Miller is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications, having authored 18 papers that have together received 235 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (12 papers), Semantic Web and Ontologies (10 papers) and Multi-Agent Systems and Negotiation (7 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Software (13 citations) and Computer Networks and Communications (54 citations). Rob Miller has collaborated with scholars based in United Kingdom, Cyprus and United States. Frequent co-authors include Murray Shanahan, Antonis Kakas, Antonis Bikakis, Jon Ogborn, Francesca Toni, Loizos Michael, Joan Bliss, Harvey Mellar, Luke Dickens and Leora Morgenstern. Their work appears in journals such as Computers & Education, Artificial Intelligence and International Journal of Approximate Reasoning.
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.