Alessandro Beghi

4.4k total citations · 1 hit paper
193 papers, 3.1k citations indexed

About

Alessandro Beghi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Alessandro Beghi has authored 193 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Control and Systems Engineering, 39 papers in Mechanical Engineering and 31 papers in Industrial and Manufacturing Engineering. Recurrent topics in Alessandro Beghi's work include Fault Detection and Control Systems (34 papers), Real-time simulation and control systems (30 papers) and Industrial Vision Systems and Defect Detection (28 papers). Alessandro Beghi is often cited by papers focused on Fault Detection and Control Systems (34 papers), Real-time simulation and control systems (30 papers) and Industrial Vision Systems and Defect Detection (28 papers). Alessandro Beghi collaborates with scholars based in Italy, Germany and Austria. Alessandro Beghi's co-authors include Gian Antonio Susto, Mirco Rampazzo, Luca Cecchinato, Andrea Schirru, Simone Pampuri, Seán McLoone, Mattia Bruschetta, Francesco Simmini, Chiara Masiero and Angelo Cenedese and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Alessandro Beghi

184 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

2014 530 citations Gian Antonio Susto, Andrea Schirru et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alessandro Beghi Italy	28	1.2k	676	607	476	392	193	3.1k
Singiresu S. Rao United States	17	1.0k 0.8×	191 0.3×	905 1.5×	473 1.0×	726 1.9×	57	4.3k
Olga Fink Switzerland	27	1.5k 1.2×	322 0.5×	566 0.9×	801 1.7×	532 1.4×	105	3.2k
James C. Spall United States	26	1.8k 1.5×	196 0.3×	341 0.6×	1.6k 3.4×	444 1.1×	172	5.1k
Martin Otter Germany	29	1.8k 1.5×	281 0.4×	643 1.1×	154 0.3×	352 0.9×	139	3.9k
Indraneel Das United States	10	641 0.5×	344 0.5×	338 0.6×	1.1k 2.2×	401 1.0×	18	3.4k
Changzhi Wu China	30	391 0.3×	242 0.4×	326 0.5×	407 0.9×	495 1.3×	133	2.7k
Yu Ding United States	34	736 0.6×	1.3k 1.9×	695 1.1×	418 0.9×	549 1.4×	161	3.8k
Gerhard Venter South Africa	19	442 0.4×	190 0.3×	368 0.6×	804 1.7×	446 1.1×	68	3.1k
Yan‐Lin He China	30	1.5k 1.2×	185 0.3×	791 1.3×	856 1.8×	399 1.0×	236	3.1k
Zhiwen Chen China	32	2.2k 1.9×	185 0.3×	1.1k 1.8×	545 1.1×	819 2.1×	212	3.6k

Countries citing papers authored by Alessandro Beghi

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Beghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Beghi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Beghi, Alessandro, et al.. (2025). Anti-wheelie systems for high-performance motorcycles: A Nonlinear Model Predictive Control approach. Control Engineering Practice. 157. 106224–106224. 1 indexed citations

Beghi, Alessandro, et al.. (2024). Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing. Computers & Industrial Engineering. 196. 110466–110466. 2 indexed citations

Appello, D., Alessandro Beghi, Santa Di Cataldo, et al.. (2024). An AI-Enabled Framework for Smart Semiconductor Manufacturing. Research Padua Archive (University of Padua). 1–6. 2 indexed citations

Censi, Andrea, et al.. (2023). A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes. IEEE Transactions on Control Systems Technology. 31(5). 2055–2065. 8 indexed citations

Masiero, Chiara, et al.. (2023). A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring. Engineering Applications of Artificial Intelligence. 124. 106610–106610. 6 indexed citations

Beghi, Alessandro & Fabrizio Dabbene. (2023). The Sixth IEEE Conference on Control Technology and Applications [Conference Reports]. IEEE Control Systems. 43(2). 103–109.

Bruschetta, Mattia, et al.. (2022). A Nonlinear Model-Predictive Contouring Controller for Shared Control Driving Assistance in High-Performance Scenarios. IEEE Transactions on Systems Man and Cybernetics Systems. 53(1). 204–215. 10 indexed citations

Masiero, Chiara, et al.. (2021). FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment. IEEE Transactions on Automation Science and Engineering. 19(3). 1491–1502. 21 indexed citations

Arena, Simone, et al.. (2021). Exploiting 2D Coordinates as Bayesian Priors for Deep Learning Defect Classification of SEM Images. IEEE Transactions on Semiconductor Manufacturing. 34(3). 436–439. 6 indexed citations

10.

Bruschetta, Mattia, et al.. (2020). Real-Time Nonlinear Model Predictive Control of a Virtual Motorcycle. IEEE Transactions on Control Systems Technology. 29(5). 2214–2222. 7 indexed citations

11.

Beghi, Alessandro, et al.. (2019). Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances. Energies. 12(20). 3843–3843. 9 indexed citations

12.

Terzi, Matteo, et al.. (2018). A Computer Vision-Inspired Deep Learning Architecture for Virtual Metrology Modeling With 2-Dimensional Data. IEEE Transactions on Semiconductor Manufacturing. 31(3). 376–384. 47 indexed citations

13.

Simmini, Francesco, et al.. (2018). Local Principal Component Analysis for Fault Detection in Air-Condensed Water Chillers. 1322–1327. 3 indexed citations

14.

Susto, Gian Antonio, et al.. (2018). A Soft Sensing Approach for Clothes Load Estimation in Consumer Washing Machines. 2018 IEEE Conference on Control Technology and Applications (CCTA). 1252–1257. 8 indexed citations

15.

Terzi, Matteo, et al.. (2017). Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. Research Padua Archive (University of Padua). 1–6. 14 indexed citations

16.

Susto, Gian Antonio & Alessandro Beghi. (2016). Dealing with time-series data in Predictive Maintenance problems. Padua Research Archive (University of Padova). 1–4. 28 indexed citations

17.

Beghi, Alessandro, et al.. (2012). A real time implementation of MPC based Motion Cueing strategy for driving simulators. 6340–6345. 36 indexed citations

18.

Pampuri, Simone, Andrea Schirru, Gian Antonio Susto, et al.. (2012). Multistep virtual metrology approaches for semiconductor manufacturing processes. Padua Research Archive (University of Padova). 91–96. 16 indexed citations

19.

Beghi, Alessandro, Angelo Cenedese, & Andrea Masiero. (2011). Multiscale stochastic approach for phase screens synthesis. Applied Optics. 50(21). 4124–4124. 13 indexed citations

20.

Beghi, Alessandro, et al.. (2006). Black-box modeling of a Two-Stroke Racing Motorcycle Engine for Virtual Prototyping Applications. Research Padua Archive (University of Padua). 280–285.

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.

Explore authors with similar magnitude of impact