Massimo Franceschetti
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Aerospace Engineering
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Paolo MineroMarco Donald MiglioreNikhil KaramchandaniK. ZegerAnna MartiniAndrea MassaKaushik ChakrabortyR. Azaro
- Topics
- Advanced MIMO Systems Optimization (6 papers)Random lasers and scattering media (3 papers)Ultra-Wideband Communications Technology (3 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingIEEE Transactions on Wireless Communications
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Massimo Franceschetti
11 papers receiving 256 citations
Peers
Comparison fields: 5 of 29
- Electrical and Electronic Engineering 199
- Computer Networks and Communications 167
- Aerospace Engineering 57
- Biomedical Engineering 21
- Artificial Intelligence 18
Countries citing papers authored by Massimo Franceschetti
This map shows the geographic impact of Massimo Franceschetti'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 Franceschetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Franceschetti more than expected).
Fields of papers citing papers by Massimo Franceschetti
This network shows the impact of papers produced by Massimo Franceschetti. 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 Franceschetti. The network helps show where Massimo Franceschetti may publish in the future.
Co-authorship network of co-authors of Massimo Franceschetti
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Franceschetti. A scholar is included among the top collaborators of Massimo Franceschetti 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 Massimo Franceschetti. Massimo Franceschetti 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 | A Percolation Model for the Wave Propagation in Non-Uniform Random Media | 0 |
| 3 | 69 | |
| 4 | 133 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | Ray Propagation in Non-Uniform Random Lattices | 4 |
| 13 | 32 |
About Massimo Franceschetti
Massimo Franceschetti is a scholar working on Acoustics and Ultrasonics, Aerospace Engineering and Electrical and Electronic Engineering, having authored 13 papers that have together received 269 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (6 papers), Random lasers and scattering media (3 papers) and Ultra-Wideband Communications Technology (3 papers). The work is most often cited by research in Computer Networks and Communications (167 citations), Electrical and Electronic Engineering (199 citations) and Aerospace Engineering (57 citations). Massimo Franceschetti has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Paolo Minero, Marco Donald Migliore, Nikhil Karamchandani, K. Zeger, Anna Martini, Andrea Massa, Kaushik Chakraborty, R. Azaro, Luca De Marchi and Yang Zhao. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Wireless Communications.
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.