Michele Boreale
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing
- Co-authors
- Rocco De NicolaRosario PuglieseDavide SangiorgiMaria Grazia BuscemiDaniele GorlaMarcello BonsangueFilippo BonchiFabio Gadducci
- Topics
- Formal Methods in Verification (22 papers)Logic, programming, and type systems (17 papers)Logic, Reasoning, and Knowledge (10 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Networks and Communications
- Journals
- IEEE Transactions on Software EngineeringSIAM Journal on ComputingIEEE Transactions on Information Forensics and Security
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Michele Boreale
40 papers receiving 436 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 390
- Computational Theory and Mathematics 230
- Computer Networks and Communications 195
- Information Systems 138
- Signal Processing 31
Countries citing papers authored by Michele Boreale
This map shows the geographic impact of Michele Boreale'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 Michele Boreale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Boreale more than expected).
Fields of papers citing papers by Michele Boreale
This network shows the impact of papers produced by Michele Boreale. 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 Michele Boreale. The network helps show where Michele Boreale may publish in the future.
Co-authorship network of co-authors of Michele Boreale
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Boreale. A scholar is included among the top collaborators of Michele Boreale 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 Michele Boreale. Michele Boreale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 20 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 43 | |
| 18 | 14 | |
| 19 | 34 | |
| 20 | 46 |
About Michele Boreale
Michele Boreale is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 43 papers that have together received 470 indexed citations. Recurring topics across this work include Formal Methods in Verification (22 papers), Logic, programming, and type systems (17 papers) and Logic, Reasoning, and Knowledge (10 papers). The work is most often cited by research in Computational Theory and Mathematics (230 citations), Artificial Intelligence (390 citations) and Computer Networks and Communications (195 citations). Michele Boreale has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Rocco De Nicola, Rosario Pugliese, Davide Sangiorgi, Maria Grazia Buscemi, Daniele Gorla, Marcello Bonsangue, Filippo Bonchi, Fabio Gadducci, Héctor D. Menéndez and David Clark. Their work appears in journals such as IEEE Transactions on Software Engineering, SIAM Journal on Computing and IEEE Transactions on Information Forensics and Security.
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.