Antonio Faba

1.7k total citations
102 papers, 1.3k citations indexed

About

Antonio Faba is a scholar working on Electronic, Optical and Magnetic Materials, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Antonio Faba has authored 102 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Electronic, Optical and Magnetic Materials, 61 papers in Mechanical Engineering and 50 papers in Electrical and Electronic Engineering. Recurrent topics in Antonio Faba's work include Magnetic Properties and Applications (67 papers), Microstructure and Mechanical Properties of Steels (30 papers) and Non-Destructive Testing Techniques (29 papers). Antonio Faba is often cited by papers focused on Magnetic Properties and Applications (67 papers), Microstructure and Mechanical Properties of Steels (30 papers) and Non-Destructive Testing Techniques (29 papers). Antonio Faba collaborates with scholars based in Italy, United States and Egypt. Antonio Faba's co-authors include E. Cardelli, E. Della Torre, S. Quondam Antonio, Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini, Gabriele Maria Lozito, Giovanni Finocchio, Giulia Stornelli and Andrea Di Schino and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Antonio Faba

94 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Faba Italy 24 783 734 678 206 134 102 1.3k
C. Ragusa Italy 21 1.1k 1.4× 768 1.0× 793 1.2× 353 1.7× 151 1.1× 116 1.5k
Aphrodite Ktena Greece 15 470 0.6× 469 0.6× 318 0.5× 137 0.7× 166 1.2× 93 923
Johan Gyselinck Belgium 25 1.2k 1.5× 699 1.0× 2.0k 2.9× 150 0.7× 976 7.3× 251 2.4k
Patrick Kuo‐Peng Brazil 19 541 0.7× 403 0.5× 772 1.1× 110 0.5× 258 1.9× 87 1.0k
A.A. Adly Egypt 18 788 1.0× 505 0.7× 476 0.7× 299 1.5× 430 3.2× 113 1.2k
Krzysztof Górecki Poland 24 238 0.3× 1.0k 1.4× 1.8k 2.7× 75 0.4× 109 0.8× 282 2.1k
J.D. Lavers Canada 21 506 0.6× 666 0.9× 1.1k 1.6× 199 1.0× 353 2.6× 160 1.6k
Bing Gao China 19 264 0.3× 191 0.3× 688 1.0× 59 0.3× 106 0.8× 80 1.2k
Xiangdong Sun China 24 302 0.4× 235 0.3× 1.1k 1.7× 169 0.8× 794 5.9× 115 1.7k

Countries citing papers authored by Antonio Faba

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Faba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Faba

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Faba. A scholar is included among the top collaborators of Antonio Faba 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 Antonio Faba. Antonio Faba 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.
Corti, Fabio, et al.. (2024). Design procedures for series–series wpt systems: A comparative analysis. Computers & Electrical Engineering. 119. 109511–109511. 5 indexed citations
2.
Stella, Marco, et al.. (2024). Eddy current losses model and physical parameters evaluation for ferrite magnetic cores in frequency domain. Journal of Magnetism and Magnetic Materials. 594. 171905–171905. 5 indexed citations
3.
Licciardi, Silvia, Guido Ala, Elisa Francomano, et al.. (2024). Neural Network Architectures and Magnetic Hysteresis: Overview and Comparisons. Mathematics. 12(21). 3363–3363. 1 indexed citations
4.
Palazzi, Valentina, et al.. (2024). Novel Pulsed WPT System With Data Transfer Capability for Condition Monitoring of Industrial Rotating Equipment. IEEE Access. 12. 58067–58077. 2 indexed citations
5.
6.
7.
Stella, Marco, Riccardo Scorretti, Antonio Faba, & E. Cardelli. (2024). Comparison of Control Strategies Performances Based on a PID Controller and on an ann Controller to Stabilize a Misaligned Wireless Resonant Converter. SPIRE - Sciences Po Institutional REpository. 518–523.
8.
Belloni, Elisa, Gianni Bianchini, Marco Casini, et al.. (2024). An overview on building-integrated photovoltaics: technological solutions, modeling, and control. Energy and Buildings. 324. 114867–114867. 20 indexed citations
9.
Faba, Antonio, Francesco Riganti Fulginei, S. Quondam Antonio, et al.. (2023). Hysteresis Modelling in Additively Manufactured FeSi Magnetic Components for Electrical Machines and Drives. IEEE Transactions on Industrial Electronics. 71(3). 2188–2197. 11 indexed citations
10.
Antonio, S. Quondam, Francesco Riganti Fulginei, Gabriele Maria Lozito, et al.. (2022). Computing Frequency-Dependent Hysteresis Loops and Dynamic Energy Losses in Soft Magnetic Alloys via Artificial Neural Networks. Mathematics. 10(13). 2346–2346. 7 indexed citations
11.
Faba, Antonio & S. Quondam Antonio. (2021). An Overview of Non-Destructive Testing of Goss Texture in Grain-Oriented Magnetic Steels. Mathematics. 9(13). 1539–1539. 6 indexed citations
12.
Antonio, S. Quondam, et al.. (2021). Vector Hysteresis Processes for Innovative Fe-Si Magnetic Powder Cores: Experiments and Neural Network Modeling. Magnetochemistry. 7(2). 18–18. 5 indexed citations
13.
Stornelli, Giulia, et al.. (2021). Properties of Additively Manufactured Electric Steel Powder Cores with Increased Si Content. Materials. 14(6). 1489–1489. 63 indexed citations
14.
Antonio, S. Quondam, et al.. (2020). Modeling of Combined Metal Oxide Varistors and Ferrite Core Filters to Augment Avionic Safety During Lightning Transients. IEEE Transactions on Electromagnetic Compatibility. 62(5). 2012–2023. 3 indexed citations
15.
Antonio, S. Quondam, et al.. (2020). On the Analysis of the Dynamic Energy Losses in NGO Electrical Steels Under Non-Sinusoidal Polarization Waveforms. IEEE Transactions on Magnetics. 56(4). 1–15. 13 indexed citations
16.
Cardelli, E., et al.. (2017). Magnetic sensors for motion measurement of avionic ballscrews. AIP Advances. 7(5). 8 indexed citations
17.
Cardelli, E., et al.. (2017). Magnetic losses in Si-Fe alloys for avionic applications. AIP Advances. 7(5). 11 indexed citations
18.
Candeloro, Domenico, et al.. (2017). In-Plane Magnetic Anisotropy Detection of Crystal Grain Orientation in Goss-Textured Ferromagnets. IEEE Transactions on Magnetics. 53(11). 1–4. 2 indexed citations
19.
Trabalza‐Marinucci, Massimo, et al.. (2006). In vivo mechanical and in vitro electromagnetic side-effects of a ruminal transponder in cattle1,2. Journal of Animal Science. 84(11). 3133–3142. 10 indexed citations
20.
Cardelli, E., et al.. (2001). Experimental analysis of hysteresis in low frequency magnetic shields. Physica B Condensed Matter. 306(1-4). 62–66. 2 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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