Riccardo Pucella
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Hardware and Architecture top 10%
- Co-authors
- Joseph Y. HalpernAndrew D. GordonMatthew FluetJohn ReppyKathleen FisherF.B. SchneiderHubie ChenFred B. Schneider
- Topics
- Logic, programming, and type systems (19 papers)Logic, Reasoning, and Knowledge (13 papers)Formal Methods in Verification (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial IntelligenceJournal of the ACM
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Riccardo Pucella
37 papers receiving 386 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 336
- Information Systems 147
- Computer Networks and Communications 145
- Computational Theory and Mathematics 124
- Hardware and Architecture 56
Countries citing papers authored by Riccardo Pucella
This map shows the geographic impact of Riccardo Pucella'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 Riccardo Pucella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Pucella more than expected).
Fields of papers citing papers by Riccardo Pucella
This network shows the impact of papers produced by Riccardo Pucella. 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 Riccardo Pucella. The network helps show where Riccardo Pucella may publish in the future.
Co-authorship network of co-authors of Riccardo Pucella
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Pucella. A scholar is included among the top collaborators of Riccardo Pucella 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 Riccardo Pucella. Riccardo Pucella 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 | 23 | |
| 3 | 36 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | Reasoning about resource-bounded knowledge: theory and application to security protocol analysis | 3 |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 16 | |
| 17 | 5 | |
| 18 | 0 | |
| 19 | 10 | |
| 20 | 26 |
About Riccardo Pucella
Riccardo Pucella is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 44 papers that have together received 430 indexed citations. Recurring topics across this work include Logic, programming, and type systems (19 papers), Logic, Reasoning, and Knowledge (13 papers) and Formal Methods in Verification (11 papers). The work is most often cited by research in Artificial Intelligence (336 citations), Hardware and Architecture (56 citations) and Software (31 citations). Riccardo Pucella has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Joseph Y. Halpern, Andrew D. Gordon, Matthew Fluet, Andrew D. Gordon, John Reppy, Kathleen Fisher, F.B. Schneider, Hubie Chen, Fred B. Schneider and Matthias Felleisen. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Journal of the ACM.
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.