Luca Sciullo
Impact in
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- IoT and Edge/Fog Computing
- Opportunistic and Delay-Tolerant Networks
- Bluetooth and Wireless Communication Technologies
- Caching and Content Delivery
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- Digital Transformation in Industry
Papers in ⓘ
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- IoT and Edge/Fog Computing 18
- Opportunistic and Delay-Tolerant Networks 4
- Caching and Content Delivery 3
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- IoT Networks and Protocols 8
- Co-authors
- Marco Di Felice (30 shared papers)Angelo Trotta (16 shared papers)Federico Montori (16 shared papers)Tullio Salmon Cinotti (5 shared papers)Ivan Zyrianoff (11 shared papers)Alessandro Marzani (6 shared papers)Federica Zonzini (3 shared papers)Luca De Marchi (3 shared papers)
In The Last Decade
Luca Sciullo
26 papers receiving 307 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 209
- Industrial and Manufacturing Engineering 42
- Computer Vision and Pattern Recognition 58
- Information Systems 45
- Signal Processing 21
Countries citing papers authored by Luca Sciullo
This map shows the geographic impact of Luca Sciullo'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 Sciullo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Sciullo more than expected).
Fields of papers citing papers by Luca Sciullo
This network shows the impact of papers produced by Luca Sciullo. 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 Sciullo. The network helps show where Luca Sciullo may publish in the future.
Co-authors
The 21 scholars most cited alongside Luca Sciullo, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 41 | |
| 2 | 2019 | 37 | |
| 3 | 2018 | 22 | |
| 4 | 2019 | 21 | |
| 5 | 2020 | 21 | |
| 6 | 2022 | 21 | |
| 7 | 2020 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2024 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 5 |
About Luca Sciullo
Luca Sciullo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Information Systems and Civil and Structural Engineering, having authored 35 papers that have together received 324 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), IoT Networks and Protocols (8 papers), Context-Aware Activity Recognition Systems (7 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Structural Health Monitoring Techniques (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Caching and Content Delivery (3 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Computer Networks and Communications (209 citations), Industrial and Manufacturing Engineering (42 citations), Computer Vision and Pattern Recognition (58 citations), Information Systems (45 citations) and Signal Processing (21 citations). Luca Sciullo has collaborated with scholars based in Italy, Brazil and Germany. Frequent co-authors include Marco Di Felice, Angelo Trotta, Federico Montori, Tullio Salmon Cinotti, Ivan Zyrianoff, Alessandro Marzani, Federica Zonzini, Luca De Marchi, Carlos Kamienski and Nicola Testoni. Their work appears in journals such as IEEE Access, Ad Hoc Networks, Future Generation Computer Systems, IEEE Internet of Things Journal and Internet of Things.
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.