Luca Maggiani

530 citations
25 papers · 316 · h-index 8

Impact in

Papers in

Luca Maggiani

20 papers receiving 298 citations

Peers

Luca Maggiani
Comparison fields: 5 of 71
  • Medical Laboratory Technology 19
  • Industrial and Manufacturing Engineering 82
  • Computer Networks and Communications 97
  • Control and Systems Engineering 53
  • Safety, Risk, Reliability and Quality 19
Replace Federico Civerchia with:
Federico Civerchia Italy
Claudio Salvadori Italy
Stefano Bocchino Italy
Stamatis Voliotis Greece
Rafał Cupek Poland
Chunhai Gao China
Finn Tseng United States
Mahnoor Yaqoob United Kingdom
Veronika Lesch Germany
William Davis United Kingdom
Luca Maggiani relative to Federico Civerchia Italy Federico Civerchia's profile →
Citations per field
00.5×1.5×2.3×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017199
2 202224
3 201616
4 202315
5 202012
6 20249
7 20179
8 20177
9 20166
10 20154
11 20163
12 20212
13 20232
14 20241
15 20231
16 20241
17 20231
18 20221
19 20221
20 20221

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 25 papers that have together received 316 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (7 papers), Optical Network Technologies (7 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 (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Medical Laboratory Technology (19 citations), Industrial and Manufacturing Engineering (82 citations), Computer Networks and Communications (97 citations), Control and Systems Engineering (53 citations) and Safety, Risk, Reliability and Quality (19 citations). Luca Maggiani has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Matteo Petracca, Federico Civerchia, Claudio Salvadori, Stefano Bocchino, Luca Valcarenghi, Nicola Andriolli, François Berry, Jocelyn Sérot, Lorenzo De Marinis and Marco Cococcioni. Their work appears in journals such as IEEE Signal Processing Letters, Neural Networks, IEEE Access, IEEE Transactions on Network and Service Management and Frontiers in Medicine.

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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