Michele Bezzi
Impact in
- Information Systems top 5%
- Cloud Data Security Solutions
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
Papers in
-
- Access Control and Trust 17
- Privacy, Security, and Data Protection 7
-
- Privacy-Preserving Technologies in Data 17
- Cryptography and Data Security 13
- Co-authors
- Franco Bagnoli (3 shared papers)Antonino Sabetta (11 shared papers)Ernesto Damiani (5 shared papers)Claudio A. Ardagna (5 shared papers)Slim Trabelsi (8 shared papers)Cédric Hébert (3 shared papers)Nadia Metoui (7 shared papers)Valerio Bellandi (3 shared papers)
- Journals
- IEEE Security & Privacy (2 papers)Neural Computation (2 papers)Biosystems (2 papers)Lecture notes in computer science (12 papers)Journal of Computational Neuroscience (1 paper)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Michele Bezzi
50 papers receiving 467 citations
Peers
Comparison fields: 5 of 94
- Information Systems 129
- Artificial Intelligence 186
- Sensory Systems 24
- Neurology 38
- Cognitive Neuroscience 84
Countries citing papers authored by Michele Bezzi
This map shows the geographic impact of Michele Bezzi'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 Bezzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Bezzi more than expected).
Fields of papers citing papers by Michele Bezzi
This network shows the impact of papers produced by Michele Bezzi. 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 Bezzi. The network helps show where Michele Bezzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Michele Bezzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 44 | |
| 2 | 2018 | 39 | |
| 3 | 2017 | 36 | |
| 4 | 1997 | 28 | |
| 5 | 1997 | 26 | |
| 6 | 2007 | 21 | |
| 7 | 2009 | 18 | |
| 8 | 2002 | 17 | |
| 9 | 2015 | 14 | |
| 10 | 2002 | 13 | |
| 11 | 2004 | 13 | |
| 12 | 2006 | 13 | |
| 13 | 2013 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2014 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2005 | 10 | |
| 19 | 2011 | 9 | |
| 20 | 2013 | 8 |
About Michele Bezzi
Michele Bezzi is a scholar working on Sociology and Political Science, Artificial Intelligence, Information Systems, Computer Networks and Communications and Cognitive Neuroscience, having authored 53 papers that have together received 499 indexed citations. Recurring topics across this work include Access Control and Trust (17 papers), Privacy-Preserving Technologies in Data (17 papers), Cryptography and Data Security (13 papers), Neural dynamics and brain function (7 papers), Privacy, Security, and Data Protection (7 papers), Service-Oriented Architecture and Web Services (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). The work is most often cited by research in Information Systems (129 citations), Artificial Intelligence (186 citations), Sensory Systems (24 citations), Neurology (38 citations) and Cognitive Neuroscience (84 citations). Michele Bezzi has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Franco Bagnoli, Antonino Sabetta, Ernesto Damiani, Claudio A. Ardagna, Slim Trabelsi, Cédric Hébert, Nadia Metoui, Valerio Bellandi, Thierry Nieus and Egidio D’Angelo. Their work appears in journals such as IEEE Security & Privacy, Neural Computation, Biosystems, Lecture notes in computer science and Journal of Computational Neuroscience.
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.