Giuseppe Leonardo Cascella

1.4k total citations
62 papers, 1.0k citations indexed

About

Giuseppe Leonardo Cascella is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Giuseppe Leonardo Cascella has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 28 papers in Control and Systems Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Giuseppe Leonardo Cascella's work include Electric Motor Design and Analysis (31 papers), Sensorless Control of Electric Motors (25 papers) and Magnetic Bearings and Levitation Dynamics (17 papers). Giuseppe Leonardo Cascella is often cited by papers focused on Electric Motor Design and Analysis (31 papers), Sensorless Control of Electric Motors (25 papers) and Magnetic Bearings and Levitation Dynamics (17 papers). Giuseppe Leonardo Cascella collaborates with scholars based in Italy, United Kingdom and Mexico. Giuseppe Leonardo Cascella's co-authors include Ferrante Neri, Nadia Salvatore, Francesco Cupertino, Andrea Caponio, Mark Sumner, Antonio Emmanuele Uva, Michele Fiorentino, Michele Gattullo, Vito Modesto Manghisi and Silvio Stasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Giuseppe Leonardo Cascella

60 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Leonardo Cascella Italy 15 345 311 288 148 132 62 1.0k
Wai‐Lun Lo Hong Kong 13 272 0.8× 225 0.7× 143 0.5× 71 0.5× 90 0.7× 38 800
Ammar Kamal Abasi United Arab Emirates 19 317 0.9× 515 1.7× 186 0.6× 61 0.4× 124 0.9× 56 1.2k
Guan-Chun Luh Taiwan 16 54 0.2× 256 0.8× 171 0.6× 280 1.9× 109 0.8× 33 919
Yu Ding China 19 220 0.6× 202 0.6× 362 1.3× 66 0.4× 106 0.8× 62 1.0k
Chenglin Yang China 18 333 1.0× 219 0.7× 234 0.8× 35 0.2× 225 1.7× 61 923
Antonin Raffin Germany 4 160 0.5× 286 0.9× 221 0.8× 43 0.3× 118 0.9× 9 758
Maximilian Ernestus Germany 3 161 0.5× 282 0.9× 213 0.7× 42 0.3× 115 0.9× 3 755
Huarong Xu China 12 102 0.3× 302 1.0× 53 0.2× 144 1.0× 343 2.6× 28 777
Gabriel Dulac-Arnold United Kingdom 6 131 0.4× 594 1.9× 308 1.1× 83 0.6× 158 1.2× 8 1.0k
Hisashi Tamaki Japan 13 88 0.3× 261 0.8× 181 0.6× 186 1.3× 69 0.5× 141 860

Countries citing papers authored by Giuseppe Leonardo Cascella

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Leonardo Cascella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giuseppe Leonardo Cascella. 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 Giuseppe Leonardo Cascella. The network helps show where Giuseppe Leonardo Cascella may publish in the future.

Co-authorship network of co-authors of Giuseppe Leonardo Cascella

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Leonardo Cascella. A scholar is included among the top collaborators of Giuseppe Leonardo Cascella 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 Giuseppe Leonardo Cascella. Giuseppe Leonardo Cascella 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.
2.
Tipaldi, Massimo, et al.. (2025). A Continuous Sliding Mode Current Control Based on the Sensitivity Theory for PMSM Drives. SHILAP Revista de lepidopterología. 6. 48–58. 2 indexed citations
3.
Nardo, Mauro Di, et al.. (2024). Accuracy of Online Estimation Methods of Stator Resistance and Rotor Flux Linkage in PMSMs. IEEE Journal of Emerging and Selected Topics in Power Electronics. 12(5). 4941–4955. 3 indexed citations
4.
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
5.
Tipaldi, Massimo, et al.. (2023). Gain-Scheduled Structured Control in DC Microgrids. IEEE Transactions on Control Systems Technology. 31(6). 2571–2583. 4 indexed citations
6.
Cascella, Giuseppe Leonardo, et al.. (2021). SuMRAS: a new SPMSM Parameter Identification in Cloud Computing Environment. 6 indexed citations
7.
Monopoli, Vito Giuseppe, et al.. (2021). A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models. Energies. 14(7). 1880–1880. 20 indexed citations
8.
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
9.
10.
Palmieri, Marco, et al.. (2020). Optimal Tooth Tips Design for Cogging Torque Suppression of Permanent Magnet Machines with a Segmented Stator Core. CINECA IRIS Institutional Research Information System (University of Basilicata). 1930–1936. 14 indexed citations
11.
Duggento, Andrea, Marco Aiello, Carlo Cavaliere, et al.. (2019). An Ad Hoc Random Initialization Deep Neural Network Architecture for Discriminating Malignant Breast Cancer Lesions in Mammographic Images. Contrast Media & Molecular Imaging. 2019. 1–9. 20 indexed citations
12.
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
13.
Cupertino, Francesco, et al.. (2018). Design Procedure for High-Speed PM Motors Aided by Optimization Algorithms. Machines. 6(1). 5–5. 10 indexed citations
14.
Bruno, Sérgio, Giuseppe Leonardo Cascella, Giovanni Giannoccaro, & Massimo La Scala. (2017). Energy Router for Optimizing Resources in a Demand Response Framework. 2 indexed citations
15.
Caponio, Andrea, Giuseppe Leonardo Cascella, Ferrante Neri, Nadia Salvatore, & Mark Sumner. (2007). A Fast Adaptive Memetic Algorithm for Online and Offline Control Design of PMSM Drives. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(1). 28–41. 177 indexed citations
16.
Salvatore, Nadia, et al.. (2007). Stator Flux Oriented Sliding Mode Control of Sensorless Induction Motor Drives by Kalman Filter. 15. 956–961. 2 indexed citations
17.
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
18.
Neri, Ferrante, et al.. (2005). A hierarchical evolutionary-deterministic algorithm in topological optimization of electrical grounding grids. 570–575. 1 indexed citations
19.
Cascella, Giuseppe Leonardo, Nadia Salvatore, Mark Sumner, & L. Salvatore. (2005). On-line simplex-genetic algorithm for self-commissioning of electric drives. 35. 10 pp.–P.10. 9 indexed citations
20.
Cupertino, Francesco, et al.. (2005). A Simple Stator Flux Oriented Induction Motor Control. EPE Journal. 15(3). 19–27. 8 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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