Luca Virgili
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- Complex Network Analysis Techniques 19
- Opinion Dynamics and Social Influence 6
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning 3
- Information Systems top 5%
- Spam and Phishing Detection 6
- Blockchain Technology Applications and Security 6
- Web Data Mining and Analysis 4
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- IoT and Edge/Fog Computing 5
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- Digital Marketing and Social Media 3
- Co-authors
- Domenico UrsinoEnrico CorradiniGianluca BonifaziFrancesco CauteruccioGiorgio TerracinaAntonino NoceraGiancarlo FortinoClaudio Savaglio
- Journals
- Journal of Information Science (5 papers)Expert Systems with Applications (4 papers)Big Data and Cognitive Computing (4 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Luca Virgili
43 papers receiving 527 citations
Peers
Comparison fields: 5 of 98
- Statistical and Nonlinear Physics 92
- Artificial Intelligence 217
- Information Systems 146
- Computer Networks and Communications 131
- Communication 27
Countries citing papers authored by Luca Virgili
This map shows the geographic impact of Luca Virgili'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 Virgili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Virgili more than expected).
Fields of papers citing papers by Luca Virgili
This network shows the impact of papers produced by Luca Virgili. 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 Virgili. The network helps show where Luca Virgili may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Luca Virgili, 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 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 28 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 27 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 9 | |
| 18 | 2020 | 28 | |
| 19 | Co-posting Author Assortativity in Reddit. | 2020 | 1 |
| 20 | Investigating the Scope of a Thing in a Multiple Internet of Things Scenario. | 2019 | 1 |
About Luca Virgili
Luca Virgili is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 45 papers that have together received 545 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Spam and Phishing Detection (6 papers), Blockchain Technology Applications and Security (6 papers), Opinion Dynamics and Social Influence (6 papers), IoT and Edge/Fog Computing (5 papers), Web Data Mining and Analysis (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (92 citations), Artificial Intelligence (217 citations) and Information Systems (146 citations). Luca Virgili has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Domenico Ursino, Enrico Corradini, Gianluca Bonifazi, Francesco Cauteruccio, Giorgio Terracina, Antonino Nocera, Giancarlo Fortino, Claudio Savaglio, Serena Nicolazzo and Alessia Amelio. Their work appears in journals such as Journal of Information Science, Expert Systems with Applications, Big Data and Cognitive Computing, Data & Knowledge Engineering and Electronics.
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.