Roberto Minerva

1.9k total citations · 2 hit papers
47 papers, 1.1k citations indexed

About

Roberto Minerva is a scholar working on Computer Networks and Communications, Building and Construction and Information Systems. According to data from OpenAlex, Roberto Minerva has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 10 papers in Building and Construction and 9 papers in Information Systems. Recurrent topics in Roberto Minerva's work include IoT and Edge/Fog Computing (13 papers), Digital Transformation in Industry (8 papers) and Traffic Prediction and Management Techniques (7 papers). Roberto Minerva is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Digital Transformation in Industry (8 papers) and Traffic Prediction and Management Techniques (7 papers). Roberto Minerva collaborates with scholars based in France, Italy and Spain. Roberto Minerva's co-authors include Noël Crespi, Gyu Myoung Lee, Yasir Saleem, Reza Farahbakhsh, Javad Rezazadeh, Antonio Manzalini, Walter Cerroni, Aldo Campi, A. T. Drobot and Franco Callegati and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Roberto Minerva

41 papers receiving 1.1k citations

Hit Papers

Digital Twin in the IoT Context: A Survey on Technical Fe... 2020 2026 2022 2024 2020 2025 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Minerva France 15 414 347 200 155 141 47 1.1k
Saioa Arrizabalaga Spain 12 344 0.8× 190 0.5× 217 1.1× 89 0.6× 113 0.8× 42 967
Kazi Masudul Alam Bangladesh 13 419 1.0× 333 1.0× 225 1.1× 70 0.5× 279 2.0× 32 1.2k
Hugh Boyes United Kingdom 8 457 1.1× 407 1.2× 291 1.5× 53 0.3× 120 0.9× 20 1.2k
Radhya Sahal Egypt 19 286 0.7× 481 1.4× 312 1.6× 64 0.4× 228 1.6× 38 1.6k
Zhiheng Zhao China 20 496 1.2× 143 0.4× 109 0.5× 155 1.0× 184 1.3× 76 1.1k
Christos Koulamas Greece 17 340 0.8× 238 0.7× 64 0.3× 83 0.5× 178 1.3× 75 956
Xiangpei Hu China 22 704 1.7× 246 0.7× 150 0.8× 259 1.7× 146 1.0× 102 1.6k
Li Zhou China 18 258 0.6× 154 0.4× 95 0.5× 138 0.9× 303 2.1× 122 1.2k
Chris Barlow United Kingdom 2 852 2.1× 170 0.5× 149 0.7× 119 0.8× 132 0.9× 3 1.3k
Gary White Ireland 11 179 0.4× 345 1.0× 223 1.1× 109 0.7× 80 0.6× 17 729

Countries citing papers authored by Roberto Minerva

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Minerva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Minerva

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Minerva. A scholar is included among the top collaborators of Roberto Minerva 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 Roberto Minerva. Roberto Minerva 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.
Raza, Syed Mohsan, et al.. (2025). A comprehensive survey of Network Digital Twin architecture, capabilities, challenges, and requirements for Edge–Cloud Continuum. Computer Communications. 236. 108144–108144. 1 indexed citations
2.
Minerva, Roberto, et al.. (2025). Global perspectives on digital twin smart cities: Innovations, challenges, and pathways to a sustainable urban future. Sustainable Cities and Society. 126. 106356–106356. 16 indexed citations breakdown →
3.
Li, Dun, Hongzhi Li, Noël Crespi, et al.. (2025). Hyper-IIoT: A Smart Contract-inspired Access Control Scheme for Resource-constrained Industrial Internet of Things. IEEE Transactions on Sustainable Computing. 1–11.
4.
Li, Dun, et al.. (2025). DPS-IIoT: Non-interactive zero-knowledge proof-inspired access control towards information-centric Industrial Internet of Things. Computer Communications. 233. 108065–108065. 1 indexed citations
5.
Dutta, Hrishikesh, et al.. (2025). An AI-Driven, Scalable, and Modular Digital Twin Framework for Traffic Management. 1–6. 2 indexed citations
6.
Minerva, Roberto, et al.. (2024). Traffic Flow Prediction in Sensor-Limited Areas Through Synthetic Sensing and Data Fusion. IEEE Sensors Letters. 8(4). 1–4. 6 indexed citations
8.
Minerva, Roberto, et al.. (2024). Deep Learning for Reducing Redundancy in Madrid’s Traffic Sensor Network. 1–9. 2 indexed citations
9.
Raza, Syed Mohsan, et al.. (2024). Exploiting the Efficient Data Modeling in Network Digital Twin to Empower Edge-Cloud Continuum. 1–4. 1 indexed citations
10.
Sánchez, Luı́s, Jorge Lanza, Juan Ramón Santana, et al.. (2023). Data Enrichment Toolchain: A Data Linking and Enrichment Platform for Heterogeneous Data. IEEE Access. 11. 103079–103091. 3 indexed citations
11.
Minerva, Roberto, et al.. (2023). Traffic Intensity Detection Using General-Purpose Sensing. IEEE Sensors Letters. 7(11). 1–4. 5 indexed citations
12.
Xiao, Ruliang, et al.. (2023). Video Anomaly Detection with Ntcn-Ml: A Novel Tcn for Multi-Instance Learning. SSRN Electronic Journal. 1 indexed citations
13.
Minerva, Roberto, et al.. (2023). Field trial to assess Bayesian optimization for improving QoT estimation. IET conference proceedings.. 2023(34). 389–392. 1 indexed citations
14.
Xiao, Ruliang, et al.. (2023). Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning. Pattern Recognition. 143. 109765–109765. 26 indexed citations
15.
Crespi, Noël, et al.. (2022). Survey on the Use of Machine Learning for Quality of Transmission Estimation in Optical Transport Networks. Journal of Lightwave Technology. 40(17). 5803–5815. 27 indexed citations
16.
Minerva, Roberto, et al.. (2021). Exploiting Digital Twins as Enablers for Synthetic Sensing. IEEE Internet Computing. 26(5). 61–67. 18 indexed citations
17.
Saleem, Yasir, Pablo Sotres, Samuel Fricker, et al.. (2020). IoTRec: The IoT Recommender for Smart Parking System. IEEE Transactions on Emerging Topics in Computing. 10(1). 280–296. 18 indexed citations
18.
Manzalini, Antonio, et al.. (2012). Halos Networks: A Competitive Way to Internet of-with Things. SSRN Electronic Journal. 1(12). 2357–55. 1 indexed citations
19.
Minerva, Roberto. (2008). On the art of creating services: Do different paradigms lead to different services?. 1 indexed citations
20.
Minerva, Roberto, et al.. (1995). TINA-C Service Architecture. Asia-Pacific Conference on Communications. 33–37. 6 indexed citations

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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