Luca Maggiani

23 papers receiving 331 citations

Peers

Luca Maggiani
Comparison fields: 5 of 70
  • Medical Laboratory Technology 21
  • Industrial and Manufacturing Engineering 90
  • Computer Networks and Communications 109
  • Control and Systems Engineering 58
  • Hardware and Architecture 16
Replace Federico Civerchia with:
Federico Civerchia Italy
Stefano Bocchino Italy
Claudio Salvadori Italy
Stamatis Voliotis Greece
Veronika Lesch Germany
Yassine Qamsane United States
Bernd Waschneck Germany
Zineb Simeu-Abazi France
Attila Frankó Hungary
Luca Maggiani relative to Federico Civerchia Italy Federico Civerchia's profile →
Citations per field
00.5×
Federico Civerchia · 1×
Citations per year

Countries citing papers authored by Luca Maggiani

Since Specialization
Citations

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

Fields of papers citing papers by Luca Maggiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Maggiani, 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 Maggiani Line = papers co-authored together Luca Maggiani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017216
2 202227
3 201616
4 202316
5 202412
6 202012
7 201711
8 20179
9 20167
10 20154
11 20163
12 20212
13 20222
14 20152
15 20222
16 20232
17 20241
18 20241
19 20241
20 20231

About Luca Maggiani

Luca Maggiani is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Water Science and Technology, having authored 27 papers that have together received 351 indexed citations. Recurring topics across this work include Optical Network Technologies (8 papers), Neural Networks and Reservoir Computing (8 papers), Photonic and Optical Devices (5 papers), Water Quality Monitoring Technologies (4 papers), Embedded Systems Design Techniques (3 papers), Network Security and Intrusion Detection (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Cooperative Communication and Network Coding (2 papers). The work is most often cited by research in Medical Laboratory Technology (21 citations), Industrial and Manufacturing Engineering (90 citations), Computer Networks and Communications (109 citations), Control and Systems Engineering (58 citations) and Hardware and Architecture (16 citations). Luca Maggiani has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Federico Civerchia, Matteo Petracca, Stefano Bocchino, Claudio Salvadori, Luca Valcarenghi, Nicola Andriolli, François Berry, Marco Cococcioni, Jocelyn Sérot and Maxime Pelcat. Their work appears in journals such as IEEE Open Journal of the Communications Society, IEEE Transactions on Network and Service Management, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Signal Processing Letters and Neural Networks.

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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