Luca Rose

660 citations
24 papers · 315 · h-index 8

Impact in

Papers in

Luca Rose

21 papers receiving 303 citations

Peers

Luca Rose
Comparison fields: 5 of 48
  • Computer Networks and Communications 183
  • Artificial Intelligence 113
  • Signal Processing 37
  • Electrical and Electronic Engineering 174
  • Media Technology 26
Replace Angelo Capossele with:
Angelo Capossele Italy
Shamik Sarkar United States
Su Fong Chien Malaysia
Altaf Shaik Germany
Tsang-Yi Wang Taiwan
Jaewoo So South Korea
Ashish Jain India
Luca Rose relative to Angelo Capossele Italy Angelo Capossele's profile →
Citations per field
00.5×4.3×
Angelo Capossele · 1×
Citations per year

Countries citing papers authored by Luca Rose

Since Specialization
Citations

This map shows the geographic impact of Luca Rose'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 Luca Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Rose more than expected).

Fields of papers citing papers by Luca Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Rose. 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 Luca Rose. The network helps show where Luca Rose may publish in the future.

Co-authors

The 22 scholars most cited alongside Luca Rose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Rose Line = papers co-authored together Luca Rose links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 201150
3 202240
4 202230
5 201421
6 201418
7 202113
8 20219
9 20197
10 20227
11 20226
12 20244
13 20154
14 20234
15
Learning Equilibria with Partial Information in Wireless Networks
20113
16 20102
17
A real-time, fully-software receiver for DVB-T signals based on the USRP
20102
18 20162
19 20161
20 20241

About Luca Rose

Luca Rose is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 24 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (13 papers), Advanced Wireless Communication Techniques (6 papers), Millimeter-Wave Propagation and Modeling (6 papers), Cooperative Communication and Network Coding (5 papers), Advanced Wireless Communication Technologies (5 papers), Wireless Signal Modulation Classification (3 papers), Advanced Malware Detection Techniques (3 papers) and Power Line Communications and Noise (3 papers). The work is most often cited by research in Computer Networks and Communications (183 citations), Artificial Intelligence (113 citations), Signal Processing (37 citations), Electrical and Electronic Engineering (174 citations) and Media Technology (26 citations). Luca Rose has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Giuseppina Andresini, Annalisa Appice, Donato Malerba, Mérouane Debbah, Mohamad Assaad, Samir M. Perlaza, M. Majid Butt, István Z. Kovács, Mohsen Guizani and Michele Zorzi. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters, Data Mining and Knowledge Discovery, Computers & Security 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.

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