Luca Pulina
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Software top 5%
- Information Systems top 10%
- Co-authors
- Armando TacchellaMassimo NarizzanoMartina SeidlMichael ZakharyaschevRoman KontchakovUlrike SattlerMarco MarateaFrank Wolter
- Topics
- Formal Methods in Verification (17 papers)Logic, Reasoning, and Knowledge (9 papers)Adversarial Robustness in Machine Learning (7 papers)
- Partner nations
- ItalyUnited KingdomAustria
In The Last Decade
Luca Pulina
48 papers receiving 344 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 253
- Computational Theory and Mathematics 120
- Computer Networks and Communications 87
- Software 58
- Information Systems 51
Countries citing papers authored by Luca Pulina
This map shows the geographic impact of Luca Pulina'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 Luca Pulina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Pulina more than expected).
Fields of papers citing papers by Luca Pulina
This network shows the impact of papers produced by Luca Pulina. 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 Luca Pulina. The network helps show where Luca Pulina may publish in the future.
Co-authorship network of co-authors of Luca Pulina
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Pulina. A scholar is included among the top collaborators of Luca Pulina 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 Luca Pulina. Luca Pulina 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 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | ARKIVO: an Ontology for Describing Archival Resources. | 4 |
| 9 | 17 | |
| 10 | Towards an Ontology for Describing Archival Resources. | 1 |
| 11 | Temporal and spatial OBDA with many-dimensional halpern-shoham logic | 10 |
| 12 | An Ontology-Based Archive for Historical Research. | 0 |
| 13 | Leveraging semantic web technologies for analysis of crime in social science. | 1 |
| 14 | How to Abstract Intelligence? (If Verification Is in Order). | 3 |
| 15 | 1 | |
| 16 | Minimal module extraction from DL-lite ontologies using QBF solvers | 33 |
| 17 | A structural approach to reasoning with quantified Boolean formulas | 7 |
| 18 | 13 | |
| 19 | QuBIS : An (In)complete Solver for Quantified Boolean Formulas | 5 |
| 20 | 18 |
About Luca Pulina
Luca Pulina is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 53 papers that have together received 372 indexed citations. Recurring topics across this work include Formal Methods in Verification (17 papers), Logic, Reasoning, and Knowledge (9 papers) and Adversarial Robustness in Machine Learning (7 papers). The work is most often cited by research in Software (58 citations), Artificial Intelligence (253 citations) and Computational Theory and Mathematics (120 citations). Luca Pulina has collaborated with scholars based in Italy, United Kingdom and Austria. Frequent co-authors include Armando Tacchella, Massimo Narizzano, Martina Seidl, Michael Zakharyaschev, Roman Kontchakov, Ulrike Sattler, Marco Maratea, Frank Wolter, Thomas Schneider and Petra Selmer. Their work appears in journals such as IEEE Access, Artificial Intelligence and Perception.
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.