Massimo Vecchio
Impact in
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- Energy Efficient Wireless Sensor Networks
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Information Systems top 0.5%
- Blockchain Technology Applications and Security
- Internet of Things and AI
Papers in
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- IoT and Edge/Fog Computing 16
- Energy Efficient Wireless Sensor Networks 15
- Network Security and Intrusion Detection 2
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- Blockchain Technology Applications and Security 20
- Internet of Things and AI 4
- Co-authors
- Miguel Pincheira Caro (23 shared papers)Muhammad Salek Ali (5 shared papers)Francesco Marcelloni (17 shared papers)Fabio Antonelli (24 shared papers)Raffaele Giaffreda (15 shared papers)Koustabh Dolui (1 shared paper)Mubashir Husain Rehmani (1 shared paper)Zaffar Haider Janjua (2 shared papers)
In The Last Decade
Massimo Vecchio
74 papers receiving 3.3k citations
Massimo Vecchio's Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 1.2k
- Information Systems 1.4k
- Food Science 252
- Artificial Intelligence 363
- Computer Vision and Pattern Recognition 220
Countries citing papers authored by Massimo Vecchio
This map shows the geographic impact of Massimo Vecchio'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 Vecchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Vecchio more than expected).
Fields of papers citing papers by Massimo Vecchio
This network shows the impact of papers produced by Massimo Vecchio. 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 Vecchio. The network helps show where Massimo Vecchio may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Vecchio, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Applications of Blockchains in the Internet of Things: A Comprehensive Survey Hit paper breakdown → | 2018 | 676 |
| 2 | Blockchain-based traceability in Agri-Food supply chain management: A practical implementation Hit paper breakdown → | 2018 | 676 |
| 3 | Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices Hit paper breakdown → | 2020 | 328 |
| 4 | 2008 | 194 | |
| 5 | 2009 | 147 | |
| 6 | 2010 | 99 | |
| 7 | 2020 | 91 | |
| 8 | 2017 | 67 | |
| 9 | 2023 | 63 | |
| 10 | 2018 | 62 | |
| 11 | 2020 | 62 | |
| 12 | 2007 | 56 | |
| 13 | 2022 | 52 | |
| 14 | 2011 | 51 | |
| 15 | 2019 | 46 | |
| 16 | 2014 | 42 | |
| 17 | 2014 | 42 | |
| 18 | 2018 | 40 | |
| 19 | 2010 | 35 | |
| 20 | 2018 | 31 |
About Massimo Vecchio
Massimo Vecchio is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence, having authored 78 papers that have together received 3.4k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (20 papers), IoT and Edge/Fog Computing (16 papers), Energy Efficient Wireless Sensor Networks (15 papers), Smart Agriculture and AI (9 papers), Indoor and Outdoor Localization Technologies (8 papers), Advanced Data Compression Techniques (6 papers), Internet of Things and AI (4 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (1.4k citations), Food Science (252 citations), Artificial Intelligence (363 citations) and Computer Vision and Pattern Recognition (220 citations). Massimo Vecchio has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Miguel Pincheira Caro, Muhammad Salek Ali, Francesco Marcelloni, Fabio Antonelli, Raffaele Giaffreda, Koustabh Dolui, Mubashir Husain Rehmani, Zaffar Haider Janjua, Mojtaba Eskandari and Mattia Antonini. Their work appears in journals such as Sensors, Applied Soft Computing, IEEE Access, The Computer Journal and Engineering Applications of Artificial Intelligence.
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.