Massimo Villari
- Computer Networks and Communications top 0.5%
- IoT and Edge/Fog Computing 110
- Caching and Content Delivery 34
- Advanced Data Storage Technologies 25
- Information Systems top 0.2%
- Cloud Computing and Resource Management 90
- Cloud Data Security Solutions 36
- Blockchain Technology Applications and Security 24
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- Context-Aware Activity Recognition Systems 26
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data 18
- Co-authors
- Antonio CelestiMaria FazioAntonio PuliafitoRajiv RanjanAntonino GallettaFrancesco TusaSchahram DustdarLorenzo Carnevale
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Access (1 paper)Trends in biotechnology (1 paper)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Massimo Villari
254 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Networks and Communications 2.7k
- Information Systems 2.2k
- Computer Vision and Pattern Recognition 538
- Artificial Intelligence 656
- Information Systems and Management 140
Countries citing papers authored by Massimo Villari
This map shows the geographic impact of Massimo Villari'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 Massimo Villari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Villari more than expected).
Fields of papers citing papers by Massimo Villari
This network shows the impact of papers produced by Massimo Villari. 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 Massimo Villari. The network helps show where Massimo Villari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Villari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 22 | |
| 15 | 2020 | 18 | |
| 16 | 2018 | 12 | |
| 17 | 2017 | 115 | |
| 18 | 2017 | 7 | |
| 19 | 2017 | 15 | |
| 20 | Evaluating a Distributed Identity Provider Trusted Network with Delegated Authentications for Cloud Federation | 2011 | 6 |
About Massimo Villari
Massimo Villari is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 283 papers that have together received 4.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (110 papers), Cloud Computing and Resource Management (90 papers), Cloud Data Security Solutions (36 papers), Caching and Content Delivery (34 papers), Context-Aware Activity Recognition Systems (26 papers), Advanced Data Storage Technologies (25 papers), Blockchain Technology Applications and Security (24 papers) and Privacy-Preserving Technologies in Data (18 papers). The work is most often cited by research in Computer Networks and Communications (2.7k citations), Information Systems (2.2k citations) and Computer Vision and Pattern Recognition (538 citations). Massimo Villari has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Antonio Celesti, Maria Fazio, Antonio Puliafito, Rajiv Ranjan, Antonino Galletta, Francesco Tusa, Schahram Dustdar, Lorenzo Carnevale, Omer Rana and Davide Mulfari. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Trends in biotechnology.
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.