Lelio Campanile
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Sociology and Political Science
- Co-authors
- Fiammetta MarulliMauro IaconoMichele MastroianniMarco GribaudoLaura VerdeS. MarroneAlexander H. LevisFrancesco Di Natale
- Topics
- Privacy-Preserving Technologies in Data (6 papers)Topic Modeling (3 papers)Privacy, Security, and Data Protection (3 papers)
- Journals
- Future Generation Computer SystemsProcess Safety and Environmental ProtectionNeural Computing and Applications
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Lelio Campanile
27 papers receiving 260 citations
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 105
- Information Systems 98
- Artificial Intelligence 78
- Electrical and Electronic Engineering 55
- Sociology and Political Science 41
Countries citing papers authored by Lelio Campanile
This map shows the geographic impact of Lelio Campanile'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 Lelio Campanile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lelio Campanile more than expected).
Fields of papers citing papers by Lelio Campanile
This network shows the impact of papers produced by Lelio Campanile. 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 Lelio Campanile. The network helps show where Lelio Campanile may publish in the future.
Co-authorship network of co-authors of Lelio Campanile
This figure shows the co-authorship network connecting the top 25 collaborators of Lelio Campanile. A scholar is included among the top collaborators of Lelio Campanile 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 Lelio Campanile. Lelio Campanile is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 57 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 91 | |
| 17 | 17 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 13 |
About Lelio Campanile
Lelio Campanile is a scholar working on Health Informatics, Information Systems and Computer Networks and Communications, having authored 33 papers that have together received 278 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Topic Modeling (3 papers) and Privacy, Security, and Data Protection (3 papers). The work is most often cited by research in Computer Networks and Communications (105 citations), Information Systems (98 citations) and Health Informatics (4 citations). Lelio Campanile has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Fiammetta Marulli, Mauro Iacono, Michele Mastroianni, Marco Gribaudo, Laura Verde, S. Marrone, Alexander H. Levis, Francesco Di Natale, Holger Hanselka and António Valente. Their work appears in journals such as Future Generation Computer Systems, Process Safety and Environmental Protection and Neural Computing and Applications.
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.