Francesco Malandrino
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- Opportunistic and Delay-Tolerant Networks 18
- Caching and Content Delivery 17
- Software-Defined Networks and 5G 13
- IoT and Edge/Fog Computing 11
- Automotive Engineering top 5%
- Transportation and Mobility Innovations 11
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- Advanced MIMO Systems Optimization 23
- Vehicular Ad Hoc Networks (VANETs) 21
- Transportation top 5%
- Media Technology top 5%
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- Privacy-Preserving Technologies in Data 11
- Co-authors
- Carla Fabiana ChiasseriniClaudio CasettiSwades DeSatyam AgarwalMarco FioreLuiz A. DaSilvaScott KirkpatrickPaolo Di Francesco
- Cited by
- Computer Networks and CommunicationsAutomotive EngineeringElectrical and Electronic Engineering
In The Last Decade
Francesco Malandrino
93 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 977
- Automotive Engineering 259
- Electrical and Electronic Engineering 954
- Transportation 78
- Media Technology 70
Countries citing papers authored by Francesco Malandrino
This map shows the geographic impact of Francesco Malandrino'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 Francesco Malandrino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Malandrino more than expected).
Fields of papers citing papers by Francesco Malandrino
This network shows the impact of papers produced by Francesco Malandrino. 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 Francesco Malandrino. The network helps show where Francesco Malandrino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Malandrino, 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 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 20 | |
| 12 | 2019 | 98 | |
| 13 | 2019 | 29 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 6 | |
| 16 | A Simulation-based Testbed for Vehicular Collision Detection | 2017 | 3 |
| 17 | 2017 | 30 | |
| 18 | 2017 | 25 | |
| 19 | 2017 | 3 | |
| 20 | 2016 | 9 |
About Francesco Malandrino
Francesco Malandrino is a scholar working on Computer Networks and Communications, Automotive Engineering and Electrical and Electronic Engineering, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (23 papers), Vehicular Ad Hoc Networks (VANETs) (21 papers), Opportunistic and Delay-Tolerant Networks (18 papers), Caching and Content Delivery (17 papers), Software-Defined Networks and 5G (13 papers), Transportation and Mobility Innovations (11 papers), IoT and Edge/Fog Computing (11 papers) and Privacy-Preserving Technologies in Data (11 papers). The work is most often cited by research in Computer Networks and Communications (977 citations), Automotive Engineering (259 citations) and Electrical and Electronic Engineering (954 citations). Francesco Malandrino has collaborated with scholars based in Italy, France and Israel. Frequent co-authors include Carla Fabiana Chiasserini, Claudio Casetti, Swades De, Satyam Agarwal, Marco Fiore, Luiz A. DaSilva, Scott Kirkpatrick, Paolo Di Francesco, Falko Dressler and Andrea Hess. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.
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.