Luca Barbieri

905 total citations
34 papers, 568 citations indexed

About

Luca Barbieri is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Luca Barbieri has authored 34 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 17 papers in Electrical and Electronic Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Luca Barbieri's work include Privacy-Preserving Technologies in Data (12 papers), Indoor and Outdoor Localization Technologies (10 papers) and Ultra-Wideband Communications Technology (4 papers). Luca Barbieri is often cited by papers focused on Privacy-Preserving Technologies in Data (12 papers), Indoor and Outdoor Localization Technologies (10 papers) and Ultra-Wideband Communications Technology (4 papers). Luca Barbieri collaborates with scholars based in Italy, Switzerland and Greece. Luca Barbieri's co-authors include Monica Nicoli, Stefano Savazzi, Mattia Brambilla, Sanaz Kianoush, Mehdi Bennis, Bernardo Camajori Tedeschini, Luigi Serio, Ioannis Stathopoulos, Manuel Roveri and Osvaldo Simeone and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Luca Barbieri

28 papers receiving 554 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luca Barbieri Italy 10 293 277 127 81 49 34 568
Bekir Sait Çiftler Qatar 13 189 0.6× 324 1.2× 155 1.2× 82 1.0× 28 0.6× 26 555
Sanaz Kianoush Italy 13 180 0.6× 371 1.3× 177 1.4× 60 0.7× 33 0.7× 47 597
Yunfeng Guan China 11 85 0.3× 290 1.0× 149 1.2× 50 0.6× 25 0.5× 63 536
Mattia Brambilla Italy 12 153 0.5× 351 1.3× 109 0.9× 144 1.8× 15 0.3× 48 535
Fei Tong China 16 94 0.3× 359 1.3× 377 3.0× 70 0.9× 89 1.8× 87 674
Junfu Chen China 12 254 0.9× 94 0.3× 66 0.5× 53 0.7× 49 1.0× 29 476
Kannan Govindan United States 10 193 0.7× 389 1.4× 537 4.2× 63 0.8× 126 2.6× 22 820
Faisal Naeem Pakistan 14 112 0.4× 305 1.1× 325 2.6× 68 0.8× 90 1.8× 25 658
Yining Wang China 13 231 0.8× 301 1.1× 288 2.3× 106 1.3× 35 0.7× 40 728

Countries citing papers authored by Luca Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Luca Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Barbieri

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Barbieri. A scholar is included among the top collaborators of Luca Barbieri 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 Luca Barbieri. Luca Barbieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barbieri, Luca, et al.. (2025). An Experimental Analysis on the Readiness of Currently Deployed 5G Networks for Positioning. IEEE Transactions on Instrumentation and Measurement. 74. 1–4.
2.
Barbieri, Luca, Sanaz Kianoush, Monica Nicoli, Luigi Serio, & Stefano Savazzi. (2025). A Close Look at the Communication Efficiency and the Energy Footprints of Robust Federated Learning in Industrial IoT. IEEE Internet of Things Journal. 12(11). 15130–15150. 3 indexed citations
3.
Barbieri, Luca, et al.. (2024). On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1017–1023. 3 indexed citations
4.
Giusti, Lorenzo, Marco Di Gennaro, Sanaz Kianoush, et al.. (2024). A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–7.
5.
Barbieri, Luca, Stefano Savazzi, & Monica Nicoli. (2024). On the Impact of Model Compression for Bayesian Federated Learning: An Analysis on Healthcare Data. IEEE Signal Processing Letters. 32. 251–255. 1 indexed citations
6.
Gennaro, Marco Di, Luca Barbieri, Michele Carminati, et al.. (2024). A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 124–129. 1 indexed citations
7.
Barbieri, Luca, Mattia Brambilla, & Manuel Roveri. (2024). A Layer-Wise Personalization Approach for Transformer-Based Federated Anomaly Detection. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 32–38. 1 indexed citations
8.
Barbieri, Luca, Mattia Brambilla, & Monica Nicoli. (2023). Deep Neural Networks for Cooperative Lidar Localization in Vehicular Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 38. 185–190. 2 indexed citations
9.
Barbieri, Luca, Osvaldo Simeone, & Monica Nicoli. (2023). Channel-Driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 7 indexed citations
10.
Barbieri, Luca, Stefano Savazzi, Sanaz Kianoush, Monica Nicoli, & Luigi Serio. (2023). A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification. CERN Document Server (European Organization for Nuclear Research). 213–218. 5 indexed citations
11.
Tedeschini, Bernardo Camajori, Stefano Savazzi, Luca Barbieri, et al.. (2022). Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation. IEEE Access. 10. 8693–8708. 101 indexed citations
12.
Barbieri, Luca, Stefano Savazzi, & Monica Nicoli. (2022). Communication-efficient Distributed Learning in V2X Networks: Parameter Selection and Quantization. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 603–608. 8 indexed citations
13.
Barbieri, Luca, Stefano Savazzi, & Monica Nicoli. (2021). Decentralized Federated Learning for Road User Classification in Enhanced V2X Networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 14 indexed citations
14.
Barbieri, Luca, et al.. (2021). On the Performance of Zero-forcing Beamforming in a Real I2V Scenario at Millimiter Wave. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1. 56–60. 1 indexed citations
15.
Savazzi, Stefano, Monica Nicoli, Mehdi Bennis, Sanaz Kianoush, & Luca Barbieri. (2021). Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems. IEEE Communications Magazine. 59(2). 16–21. 125 indexed citations
16.
Barbieri, Luca, et al.. (2020). UWB Real-Time Location Systems for Smart Factory: Augmentation Methods and Experiments. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–7. 14 indexed citations
17.
18.
Barbieri, Luca. (2013). "A mon Ynsombart part Troia": une polémique anti-courtoise dans le dialogue entre trouvères et troubadours. 37(2). 264–295.
19.
Barbieri, Luca. (2006). Tertium non datur?: alcune riflessioni sulla "terza tradicione" manoscrita della lirica trobadorica. 47(2). 497–548. 1 indexed citations
20.

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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