Manuel Roveri

4.0k total citations · 1 hit paper
119 papers, 2.8k citations indexed

About

Manuel Roveri is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Manuel Roveri has authored 119 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 37 papers in Computer Networks and Communications and 27 papers in Control and Systems Engineering. Recurrent topics in Manuel Roveri's work include Data Stream Mining Techniques (26 papers), Fault Detection and Control Systems (20 papers) and Anomaly Detection Techniques and Applications (20 papers). Manuel Roveri is often cited by papers focused on Data Stream Mining Techniques (26 papers), Fault Detection and Control Systems (20 papers) and Anomaly Detection Techniques and Applications (20 papers). Manuel Roveri collaborates with scholars based in Italy, Switzerland and Cyprus. Manuel Roveri's co-authors include Cesare Alippi, Giacomo Boracchi, Gregory Ditzler, Robi Polikar, C. Galperti, Romolo Camplani, Mario Di Francesco, Stavros Ntalampiras, Giuseppe Anastasi and Giuseppe Anastasi and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Sensors.

In The Last Decade

Manuel Roveri

110 papers receiving 2.6k citations

Hit Papers

Learning in Nonstationary Environments: A Survey 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Roveri Italy 25 1.4k 897 717 345 321 119 2.8k
Mohammad Khishe Iran 35 1.8k 1.3× 361 0.4× 791 1.1× 612 1.8× 375 1.2× 153 4.2k
Bernhard Sick Germany 25 1.4k 1.0× 431 0.5× 796 1.1× 529 1.5× 347 1.1× 219 3.0k
Kuangrong Hao China 29 1.2k 0.9× 753 0.8× 459 0.6× 578 1.7× 611 1.9× 262 3.3k
Wendong Xiao China 34 1.4k 1.0× 1.2k 1.3× 1.3k 1.8× 332 1.0× 793 2.5× 214 3.6k
Satvir Singh India 24 1.4k 1.1× 691 0.8× 828 1.2× 319 0.9× 387 1.2× 92 3.2k
Sankalap Arora India 19 2.3k 1.6× 484 0.5× 719 1.0× 506 1.5× 467 1.5× 29 3.7k
Jagdish Chand Bansal India 28 1.8k 1.3× 333 0.4× 577 0.8× 415 1.2× 411 1.3× 126 3.2k
Mokhtar Mohammadi Iraq 33 830 0.6× 536 0.6× 325 0.5× 444 1.3× 307 1.0× 100 3.2k
Yongjun Xu China 26 669 0.5× 733 0.8× 702 1.0× 357 1.0× 161 0.5× 141 2.5k
Sung-Bae Cho South Korea 21 904 0.7× 306 0.3× 884 1.2× 582 1.7× 180 0.6× 83 2.6k

Countries citing papers authored by Manuel Roveri

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Roveri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Roveri

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Roveri. A scholar is included among the top collaborators of Manuel Roveri 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 Manuel Roveri. Manuel Roveri 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.
Roveri, Manuel, et al.. (2025). Advancements in Context Recognition for Edge Devices and Smart Eyewear: Sensors and Applications. IEEE Access. 13. 57062–57100. 1 indexed citations
2.
Scardapane, Simone, et al.. (2025). NACHOS: Neural Architecture Search for Hardware-Constrained Early-Exit Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 19342–19355.
3.
Roveri, Manuel, et al.. (2025). TActiLE: Tiny Active LEarning for wearable devices. Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
4.
Canali, Stefano, et al.. (2025). Big Data, Machine Learning, and Personalization in Health Systems: Ethical Issues and Emerging Trade-Offs. Science and Engineering Ethics. 31(5). 29–29.
5.
Roveri, Manuel, et al.. (2024). StreamTinyNet: video streaming analysis with spatial-temporal TinyML. arXiv (Cornell University). 1–8. 1 indexed citations
6.
Roveri, Manuel, et al.. (2024). ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 238–251.
7.
Roveri, Manuel, et al.. (2024). TinySV: Speaker Verification in TinyML with On-device Learning. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–10. 1 indexed citations
8.
Roveri, Manuel, et al.. (2024). VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–9.
9.
Roveri, Manuel, et al.. (2023). TyBox: An Automatic Design and Code Generation Toolbox for TinyML Incremental On-Device Learning. ACM Transactions on Embedded Computing Systems. 23(3). 1–27. 14 indexed citations
10.
Roveri, Manuel, et al.. (2023). Training Encrypted Neural Networks on Encrypted Data with Fully Homomorphic Encryption. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 64–75. 1 indexed citations
11.
Trovò, Francesco, et al.. (2023). Evolving Fuzzy Prediction Intervals in Nonstationary Environments. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 903–916. 2 indexed citations
12.
Roveri, Manuel, et al.. (2022). Privacy-preserving time series prediction with temporal convolutional neural networks. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 2 indexed citations
13.
Roveri, Manuel, et al.. (2020). A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 13 indexed citations
14.
Boracchi, Giacomo, Michalis P. Michaelides, & Manuel Roveri. (2016). A Cognitive Monitoring System for Detecting and Isolating Contaminants and Faults in Intelligent Buildings. IEEE Transactions on Systems Man and Cybernetics Systems. 48(3). 433–447. 12 indexed citations
15.
Alippi, Cesare, Giacomo Boracchi, & Manuel Roveri. (2011). A just-in-time adaptive classification system based on the intersection of confidence intervals rule. Neural Networks. 24(8). 791–800. 43 indexed citations
16.
Alippi, Cesare, et al.. (2010). An hybrid wireless-wired monitoring system for real-time rock collapse forecasting. 224–231. 23 indexed citations
17.
Alippi, Cesare & Manuel Roveri. (2008). Just-in-Time Adaptive Classifiers—Part II: Designing the Classifier. IEEE Transactions on Neural Networks. 19(12). 2053–2064. 66 indexed citations
18.
Alippi, Cesare & Manuel Roveri. (2007). Just-in-time Adaptive Classifiers in Non-Stationary Conditions. IEEE International Conference on Neural Networks. 1014–1019. 11 indexed citations
19.
Piuri, Vincenzo, Fabio Scotti, & Manuel Roveri. (2006). Computational intelligence in industrial quality control. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4–9. 13 indexed citations
20.
Lucchi, Federico, et al.. (2002). IL MESSINIANO TRENT'ANNI DOPO: EVENTI CONNESSI ALLA CRISI DI SALINITÀ NELL' AVANFOSSA APPENNINICA. 9 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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