Mirco Rampazzo

1.5k total citations
73 papers, 935 citations indexed

About

Mirco Rampazzo is a scholar working on Control and Systems Engineering, Mechanical Engineering and Building and Construction. According to data from OpenAlex, Mirco Rampazzo has authored 73 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Control and Systems Engineering, 25 papers in Mechanical Engineering and 15 papers in Building and Construction. Recurrent topics in Mirco Rampazzo's work include Building Energy and Comfort Optimization (15 papers), Advanced Control Systems Optimization (15 papers) and Extremum Seeking Control Systems (13 papers). Mirco Rampazzo is often cited by papers focused on Building Energy and Comfort Optimization (15 papers), Advanced Control Systems Optimization (15 papers) and Extremum Seeking Control Systems (13 papers). Mirco Rampazzo collaborates with scholars based in Italy, Sweden and China. Mirco Rampazzo's co-authors include Alessandro Beghi, Luca Cecchinato, Francesco Simmini, Riccardo Brignoli, Gian Antonio Susto, Leandro dos Santos Coelho, Silvia Minetto, Viviana Cocco Mariani, Matheus Henrique Dal Molin Ribeiro and Marco Corradi and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and IEEE Access.

In The Last Decade

Mirco Rampazzo

66 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirco Rampazzo Italy 15 366 359 278 204 121 73 935
Jiaqiang Wang China 20 397 1.1× 295 0.8× 138 0.5× 265 1.3× 125 1.0× 65 1.0k
Bryan P. Rasmussen United States 16 762 2.1× 350 1.0× 469 1.7× 154 0.8× 74 0.6× 89 1.3k
Woohyun Kim South Korea 12 152 0.4× 343 1.0× 158 0.6× 122 0.6× 102 0.8× 25 567
Xin Jin United States 20 104 0.3× 294 0.8× 344 1.2× 452 2.2× 122 1.0× 75 1.2k
John M. House United States 17 395 1.1× 649 1.8× 675 2.4× 224 1.1× 158 1.3× 56 1.5k
Veronica Adetola United States 20 142 0.4× 310 0.9× 959 3.4× 235 1.2× 88 0.7× 71 1.4k
Ronggeng Huang China 10 120 0.3× 418 1.2× 140 0.5× 299 1.5× 125 1.0× 14 704
Wenjian Cai Singapore 26 532 1.5× 239 0.7× 1.2k 4.2× 292 1.4× 55 0.5× 66 1.9k
Xuebin Yang China 10 111 0.3× 281 0.8× 239 0.9× 83 0.4× 64 0.5× 24 556
Luca Cecchinato Italy 22 1.1k 2.9× 486 1.4× 226 0.8× 164 0.8× 167 1.4× 56 1.5k

Countries citing papers authored by Mirco Rampazzo

Since Specialization
Citations

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

Fields of papers citing papers by Mirco Rampazzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirco Rampazzo

This figure shows the co-authorship network connecting the top 25 collaborators of Mirco Rampazzo. A scholar is included among the top collaborators of Mirco Rampazzo 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 Mirco Rampazzo. Mirco Rampazzo 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.
Carli, Ruggero, et al.. (2025). Continual Learning for Behavior-based Driver Identification. Engineering Applications of Artificial Intelligence. 150. 110459–110459.
2.
Susto, Gian Antonio, et al.. (2025). Fortifying smart grid stability: Defending against adversarial attacks and measurement anomalies. Sustainable Energy Grids and Networks. 43. 101799–101799.
3.
Brighente, Alessandro, et al.. (2025). Towards robust stability prediction in smart grids: GAN-based approach under data constraints and adversarial challenges. Internet of Things. 33. 101662–101662. 3 indexed citations
4.
Susto, Gian Antonio, et al.. (2024). Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks. IEEE Access. 12. 121169–121184. 5 indexed citations
5.
Rampazzo, Mirco, et al.. (2023). Real-time optimization of integrated subcooling transcritical CO2 heat pump water heater via phasor extreme seeking control (ESC). Applied Thermal Engineering. 232. 121045–121045. 9 indexed citations
6.
Song, Yulong, et al.. (2023). Real-time multi-variable optimization of the interstage subcooling vapor-injection based transcritical CO2 HPWH: An integrated model predictive control approach. International Journal of Refrigeration. 159. 218–229. 3 indexed citations
7.
Rampazzo, Mirco, et al.. (2023). Monitoring Statistical Properties of Kalman Filter Residuals in an Artificial Pancreas to Detect Overnight Pump Malfunctions Causing Insulin Suspension. Control Engineering Practice. 141. 105673–105673. 4 indexed citations
8.
9.
Beghi, Alessandro, et al.. (2021). AutoSS: A Deep Learning-Based Soft Sensor for Handling Time-Series Input Data. IEEE Robotics and Automation Letters. 6(3). 6100–6107. 5 indexed citations
10.
Rampazzo, Mirco, et al.. (2021). Detection of Glucose Sensor Faults in an Artificial Pancreas via Whiteness Test on Kalman Filter Residuals. IFAC-PapersOnLine. 54(7). 274–279. 4 indexed citations
11.
Rampazzo, Mirco, et al.. (2020). Graph-based modelling and simulation of liquid immersion cooling systems. Energy. 207. 118238–118238. 29 indexed citations
12.
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
13.
Simmini, Francesco, et al.. (2018). Local Principal Component Analysis for Fault Detection in Air-Condensed Water Chillers. 1322–1327. 3 indexed citations
14.
Beghi, Alessandro, et al.. (2018). Data-Driven Supervisory Control of Indirect Adiabatic Cooling Systems. 2018 IEEE Conference on Control Technology and Applications (CCTA). 44. 1203–1208. 3 indexed citations
15.
Beghi, Alessandro, et al.. (2017). Energy-efficient operation of an indirect adiabatic cooling system for data centers. Padua Research Archive (University of Padova). 1984–1989. 5 indexed citations
16.
Beghi, Alessandro, et al.. (2017). Energy-efficient management of a wood industry facility. 2017 IEEE Conference on Control Technology and Applications (CCTA). 18. 181–186. 1 indexed citations
17.
Beghi, Alessandro, et al.. (2016). Data-driven Fault Detection and Diagnosis for HVAC water chillers. Control Engineering Practice. 53. 79–91. 144 indexed citations
18.
Beghi, Alessandro, Luca Cecchinato, Mirco Rampazzo, & Francesco Simmini. (2014). Energy efficient control of HVAC systems with ice cold thermal energy storage. Journal of Process Control. 24(6). 773–781. 49 indexed citations
19.
Beghi, Alessandro, et al.. (2013). Process history-based Fault Detection and Diagnosis for VAVAC systems. Padua Research Archive (University of Padova). 1165–1170. 10 indexed citations
20.
Beghi, Alessandro, Luca Cecchinato, & Mirco Rampazzo. (2011). Thermal and comfort control for radiant heating/cooling systems. Research Padua Archive (University of Padua). 1. 258–263. 7 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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