Luca Calderoni

592 citations
22 papers · 417 · h-index 10

Impact in

Papers in

Luca Calderoni

21 papers receiving 397 citations

Peers

Luca Calderoni
Comparison fields: 5 of 71
  • Transportation 52
  • Computer Networks and Communications 165
  • Media Technology 50
  • Signal Processing 53
  • Artificial Intelligence 101
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Mercedes Valdés-Vela Spain
Ahmed Lbath France
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Ammar Gharaibeh Jordan
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Panagiotis Vlacheas Greece
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Miguel A. López-Carmona Spain
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Citations per field
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Citations per year

Countries citing papers authored by Luca Calderoni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Calderoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Luca Calderoni, 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 Calderoni Line = papers co-authored together Luca Calderoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014122
2 201343
3 201242
4 201939
5 201533
6 201426
7 201819
8 201416
9 201714
10 201813
11 20149
12 20228
13 20197
14 20206
15 20205
16 20205
17 20223
18 20193
19 20202
20 20171

About Luca Calderoni

Luca Calderoni is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Transportation and Information Systems, having authored 22 papers that have together received 417 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Context-Aware Activity Recognition Systems (4 papers), Human Mobility and Location-Based Analysis (4 papers), Caching and Content Delivery (4 papers), Cryptography and Data Security (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Transportation (52 citations), Computer Networks and Communications (165 citations), Media Technology (50 citations), Signal Processing (53 citations) and Artificial Intelligence (101 citations). Luca Calderoni has collaborated with scholars based in Italy, United Kingdom and Ireland. Frequent co-authors include Dario Maio, Paolo Palmieri, Matteo Ferrara, Annalisa Franco, Marie‐Claire ten Veldhuis, M. Birna van Riemsdijk, Santiago Gaitan, Gildas Avoine, Eleonora Losiouk and Mauro Conti. Their work appears in journals such as Expert Systems with Applications, International Journal of Information Management, Journal of Systems Architecture, IEEE Sensors Journal and IEEE Transactions on Information Forensics and Security.

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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