Francesco Cupertino

3.9k total citations
166 papers, 3.1k citations indexed

About

Francesco Cupertino is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Francesco Cupertino has authored 166 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Electrical and Electronic Engineering, 85 papers in Control and Systems Engineering and 35 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Francesco Cupertino's work include Electric Motor Design and Analysis (94 papers), Sensorless Control of Electric Motors (55 papers) and Magnetic Bearings and Levitation Dynamics (49 papers). Francesco Cupertino is often cited by papers focused on Electric Motor Design and Analysis (94 papers), Sensorless Control of Electric Motors (55 papers) and Magnetic Bearings and Levitation Dynamics (49 papers). Francesco Cupertino collaborates with scholars based in Italy, United Kingdom and Mexico. Francesco Cupertino's co-authors include Gianmario Pellegrino, David Naso, Chris Gerada, Ernesto Mininno, L. Salvatore, Pericle Zanchetta, Marco Palmieri, Mark Sumner, Giuseppe Leonardo Cascella and Vito Giuseppe Monopoli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Francesco Cupertino

159 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Cupertino Italy 28 2.3k 1.6k 654 536 389 166 3.1k
Germano Lambert‐Torres Brazil 22 1.6k 0.7× 1.5k 0.9× 162 0.2× 353 0.7× 516 1.3× 211 2.7k
Scott D. Sudhoff United States 43 6.6k 2.9× 4.2k 2.5× 941 1.4× 803 1.5× 210 0.5× 192 7.6k
Feng Liang China 25 1.8k 0.8× 916 0.6× 376 0.6× 165 0.3× 222 0.6× 147 2.9k
Mark Sumner United Kingdom 51 7.3k 3.2× 4.2k 2.6× 415 0.6× 483 0.9× 293 0.8× 366 8.0k
F. Profumo Italy 39 8.0k 3.5× 2.8k 1.7× 745 1.1× 768 1.4× 156 0.4× 224 8.6k
S. Okuma Japan 21 2.0k 0.9× 1.5k 0.9× 160 0.2× 272 0.5× 245 0.6× 136 2.8k
S. Subramanian India 31 1.3k 0.6× 334 0.2× 133 0.2× 1.7k 3.2× 373 1.0× 179 3.4k
David A. Cartes United States 24 1.6k 0.7× 1.4k 0.8× 110 0.2× 159 0.3× 195 0.5× 122 2.2k
R.C. Dugan United States 32 6.3k 2.7× 4.1k 2.5× 626 1.0× 138 0.3× 164 0.4× 133 6.8k
Loredana Cristaldi Italy 25 1.4k 0.6× 593 0.4× 161 0.2× 239 0.4× 553 1.4× 174 2.3k

Countries citing papers authored by Francesco Cupertino

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Cupertino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Cupertino

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cupertino. A scholar is included among the top collaborators of Francesco Cupertino 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 Francesco Cupertino. Francesco Cupertino 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.
Nardo, Mauro Di, Francesco Cupertino, Marco Palmieri, et al.. (2025). High Speed Synchronous Machines: Technologies and Limits. Repository@Nottingham (University of Nottingham). 6. 93–106.
2.
Palmieri, Marco, et al.. (2023). Cogging Torque Suppression of Modular Permanent Magnet Machines Using a Semi-Analytical Approach and Artificial Intelligence. IEEE Access. 11. 39405–39417. 6 indexed citations
3.
4.
Cupertino, Francesco, et al.. (2023). Design Methodologies of High Speed Surface Permanent Magnet Synchronous Machines. Repository@Nottingham (University of Nottingham). 1–7.
5.
Nardo, Mauro Di, et al.. (2022). High Speed Permanent Magnet Assisted Synchronous Reluctance Machines – Part I: A General Design Approach. IEEE Transactions on Energy Conversion. 37(4). 2556–2566. 17 indexed citations
6.
Nardo, Mauro Di, et al.. (2022). High Speed Permanent Magnet Assisted Synchronous Reluctance Machines – Part II: Performance Boundaries. IEEE Transactions on Energy Conversion. 37(4). 2567–2577. 5 indexed citations
7.
Nardo, Mauro Di, Marco Palmieri, Mohammad Reza Ilkhani, et al.. (2022). Surface Permanent Magnet Synchronous Machines: High Speed Design and Limits. IEEE Transactions on Energy Conversion. 38(2). 1311–1324. 12 indexed citations
8.
Loncarski, Jelena, et al.. (2022). Impact of PWM Voltage Waveforms in High-Speed Drives: A Survey on High-Frequency Motor Models and Partial Discharge Phenomenon. Energies. 15(4). 1406–1406. 15 indexed citations
9.
Nardo, Mauro Di, Marco Palmieri, Giovanni Lo Calzo, et al.. (2021). High-Speed Synchronous Reluctance Machines: Materials Selection and Performance Boundaries. IEEE Transactions on Transportation Electrification. 8(1). 1228–1241. 17 indexed citations
10.
Nardo, Mauro Di, et al.. (2021). High Speed Synchronous Reluctance Machines: Modeling, Design and Limits. IEEE Transactions on Energy Conversion. 37(1). 585–597. 23 indexed citations
11.
Palmieri, Marco, et al.. (2020). Optimal Tooth Tips Design for Cogging Torque Suppression of Permanent Magnet Machines with a Segmented Stator Core. IEEE Conference Proceedings. 2020. 1930–1936. 1 indexed citations
12.
Nardo, Mauro Di, et al.. (2020). Analysis, Design and Optimization of Hysteresis Clutches. SHILAP Revista de lepidopterología. 1. 258–269. 7 indexed citations
13.
Palmieri, Marco, et al.. (2018). Wind Micro-Turbine Networks for Urban Areas: Optimal Design and Power Scalability of Permanent Magnet Generators. Energies. 11(10). 2759–2759. 14 indexed citations
14.
Cupertino, Francesco, et al.. (2017). Performance assessment of ferrite- and neodymiumassisted synchronous reluctance machines. 3958–3965. 11 indexed citations
15.
Galea, Michael, et al.. (2016). Axial position estimation of conical shaped motor for green taxiing application. IEEE Conference Proceedings. 2016. 6. 2 indexed citations
16.
Cupertino, Francesco, et al.. (2012). Torque production capabilities of electrical machines with planar windings. 2080–2085. 10 indexed citations
17.
Cupertino, Francesco, et al.. (2006). Fuzzy control of a mobile robot. IEEE Robotics & Automation Magazine. 13(4). 74–81. 65 indexed citations
18.
Cascella, Giuseppe Leonardo, Ferrante Neri, Nadia Salvatore, Giuseppe Acciani, & Francesco Cupertino. (2005). Hybrid EAs for backup sensorless control of PMSM drives. 374–378. 3 indexed citations
19.
Cupertino, Francesco, Vincenzo Giordano, David Naso, L. Salvatore, & Biagio Turchiano. (2004). Optimization of fuzzy controllers for industrial manipulators via genetic algorithms. 31. 460–465. 1 indexed citations
20.
Cupertino, Francesco, Anna Lattanzi, L. Salvatore, & Silvio Stasi. (2003). Induction motor control in the low-speed range using EKF- and LKF-based algorithms. 3. 1244–1249. 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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