Lorenza Giupponi
- Electrical and Electronic Engineering top 2%
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Media Technology top 2%
- Co-authors
- Ana Galindo‐SerranoSandra LagénR. Agustı́J. Pérez-RomeroO. SallentChristian IbarsBiljana BojovićPaolo Dini
- Topics
- Advanced MIMO Systems Optimization (64 papers)Cooperative Communication and Network Coding (38 papers)Advanced Wireless Network Optimization (27 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Communications Magazine
- Partner nations
- SpainItalyUnited States
In The Last Decade
Lorenza Giupponi
110 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 65
- Electrical and Electronic Engineering 2.1k
- Computer Networks and Communications 1.9k
- Artificial Intelligence 207
- Control and Systems Engineering 170
- Media Technology 156
Countries citing papers authored by Lorenza Giupponi
This map shows the geographic impact of Lorenza Giupponi'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 Lorenza Giupponi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenza Giupponi more than expected).
Fields of papers citing papers by Lorenza Giupponi
This network shows the impact of papers produced by Lorenza Giupponi. 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 Lorenza Giupponi. The network helps show where Lorenza Giupponi may publish in the future.
Co-authorship network of co-authors of Lorenza Giupponi
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenza Giupponi. A scholar is included among the top collaborators of Lorenza Giupponi 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 Lorenza Giupponi. Lorenza Giupponi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 106 | |
| 5 | 24 | |
| 6 | Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach. | 2 |
| 7 | 34 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 26 | |
| 11 | 1 | |
| 12 | A femtocell business model: The BeFEMTO view | 8 |
| 13 | 20 | |
| 14 | 11 | |
| 15 | 154 | |
| 16 | BeFEMTO's self-organized and docitive femtocells | 5 |
| 17 | 11 | |
| 18 | 39 | |
| 19 | 29 | |
| 20 | 6 |
About Lorenza Giupponi
Lorenza Giupponi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Media Technology, having authored 113 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (64 papers), Cooperative Communication and Network Coding (38 papers) and Advanced Wireless Network Optimization (27 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Electrical and Electronic Engineering (2.1k citations) and Media Technology (156 citations). Lorenza Giupponi has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Ana Galindo‐Serrano, Sandra Lagén, R. Agustı́, J. Pérez-Romero, O. Sallent, Christian Ibars, Biljana Bojović, Paolo Dini, Natale Patriciello and Hoang Duy Trinh. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.