Lorenzo Mucchi
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Biomedical Engineering top 10%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Stefano CaputoMoe Z. WinDavide DardariSara JayousiJacopo CataniMarco SeminaraLuca Simone RongaDania Marabissi
- Topics
- Wireless Body Area Networks (35 papers)Wireless Communication Security Techniques (21 papers)Millimeter-Wave Propagation and Modeling (20 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Partner nations
- ItalyFinlandUnited States
In The Last Decade
Lorenzo Mucchi
139 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Electrical and Electronic Engineering 1.1k
- Computer Networks and Communications 468
- Biomedical Engineering 361
- Aerospace Engineering 238
- Artificial Intelligence 152
Countries citing papers authored by Lorenzo Mucchi
This map shows the geographic impact of Lorenzo Mucchi'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 Lorenzo Mucchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Mucchi more than expected).
Fields of papers citing papers by Lorenzo Mucchi
This network shows the impact of papers produced by Lorenzo Mucchi. 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 Lorenzo Mucchi. The network helps show where Lorenzo Mucchi may publish in the future.
Co-authorship network of co-authors of Lorenzo Mucchi
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Mucchi. A scholar is included among the top collaborators of Lorenzo Mucchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lorenzo Mucchi. Lorenzo Mucchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 30 | |
| 12 | 33 | |
| 13 | 32 | |
| 14 | 65 | |
| 15 | 17 | |
| 16 | Integrating wireless sensor network for monitoring subsidence phenomena | 1 |
| 17 | Body Area Networks using IEEE 802.15.6: Implementing the ultra wide band physical layer | 8 |
| 18 | Wearable Wireless ECG System for Personal Health-care Applications | 3 |
| 19 | 1 | |
| 20 | 2 |
About Lorenzo Mucchi
Lorenzo Mucchi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Biomedical Engineering, having authored 149 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wireless Body Area Networks (35 papers), Wireless Communication Security Techniques (21 papers) and Millimeter-Wave Propagation and Modeling (20 papers). The work is most often cited by research in Computer Networks and Communications (468 citations), Electrical and Electronic Engineering (1.1k citations) and Aerospace Engineering (238 citations). Lorenzo Mucchi has collaborated with scholars based in Italy, Finland and United States. Frequent co-authors include Stefano Caputo, Moe Z. Win, Davide Dardari, Sara Jayousi, Jacopo Catani, Marco Seminara, Luca Simone Ronga, Dania Marabissi, Tommaso Pecorella and Matti Hämäläinen. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Communications Magazine.
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.