Alessandro Salvini

2.5k total citations
126 papers, 2.0k citations indexed

About

Alessandro Salvini is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Artificial Intelligence. According to data from OpenAlex, Alessandro Salvini has authored 126 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 39 papers in Electronic, Optical and Magnetic Materials and 37 papers in Artificial Intelligence. Recurrent topics in Alessandro Salvini's work include Magnetic Properties and Applications (39 papers), Photovoltaic System Optimization Techniques (21 papers) and Non-Destructive Testing Techniques (18 papers). Alessandro Salvini is often cited by papers focused on Magnetic Properties and Applications (39 papers), Photovoltaic System Optimization Techniques (21 papers) and Non-Destructive Testing Techniques (18 papers). Alessandro Salvini collaborates with scholars based in Italy, United States and United Kingdom. Alessandro Salvini's co-authors include Francesco Riganti Fulginei, Antonino Laudani, Gabriele Maria Lozito, Fernando Mancilla–David, Antonio Faba, E. Cardelli, S. Coco, S. Quondam Antonio, Elena Faccio and G.M. Veca and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Industrial Electronics and Solar Energy.

In The Last Decade

Alessandro Salvini

116 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Salvini Italy 25 905 726 652 532 432 126 2.0k
Ankit Goyal India 22 251 0.3× 58 0.1× 242 0.4× 664 1.2× 120 0.3× 67 1.6k
Ke Sun China 26 990 1.1× 213 0.3× 131 0.2× 167 0.3× 43 0.1× 76 2.1k
Kung‐Yen Lee Taiwan 15 618 0.7× 127 0.2× 87 0.1× 48 0.1× 139 0.3× 62 1.5k
Alberto Vallan Italy 22 856 0.9× 114 0.2× 122 0.2× 54 0.1× 206 0.5× 172 1.6k
Shuo Wang United States 41 5.3k 5.9× 182 0.3× 120 0.2× 267 0.5× 392 0.9× 238 5.7k
D.J. Nelson United States 15 955 1.1× 505 0.7× 176 0.3× 56 0.1× 176 0.4× 67 1.4k
Dongsheng Yu China 23 1.4k 1.6× 147 0.2× 252 0.4× 53 0.1× 72 0.2× 130 1.8k
Wan Zuha Wan Hasan Malaysia 21 599 0.7× 415 0.6× 229 0.4× 20 0.0× 108 0.3× 157 1.8k
Manel Gasulla Spain 20 999 1.1× 199 0.3× 76 0.1× 43 0.1× 465 1.1× 90 1.6k
Takeshi Yoshimura Japan 29 2.1k 2.3× 46 0.1× 109 0.2× 1.3k 2.4× 617 1.4× 354 4.6k

Countries citing papers authored by Alessandro Salvini

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Salvini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Salvini

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Salvini. A scholar is included among the top collaborators of Alessandro Salvini 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 Salvini. Alessandro Salvini 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.
Marıanı, Francesca, et al.. (2025). Enhancing Defect Detection on Surfaces Using Transfer Learning and Acoustic Non-Destructive Testing. Information. 16(7). 516–516. 1 indexed citations
2.
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
3.
Marıanı, Francesca, et al.. (2024). Deep learning for the detection and classification of adhesion defects in antique plaster layers. Journal of Cultural Heritage. 69. 78–85. 2 indexed citations
4.
Abadal, Sergi, A. M. Mármol, Nadia Mammone, et al.. (2024). Graph neural networks for electroencephalogram analysis: Alzheimer’s disease and epilepsy use cases. Neural Networks. 181. 106792–106792. 11 indexed citations
5.
Antonio, S. Quondam, Vincenzo Bonaiuto, F. Sargeni, & Alessandro Salvini. (2022). Neural Network Modeling of Arbitrary Hysteresis Processes: Application to GO Ferromagnetic Steel. Magnetochemistry. 8(2). 18–18. 4 indexed citations
6.
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
7.
Oliveri, Alberto, Antonino Laudani, Francesco Riganti Fulginei, et al.. (2015). Two FPGA-Oriented High-Speed Irradiance Virtual Sensors for Photovoltaic Plants. IEEE Transactions on Industrial Informatics. 13(1). 157–165. 25 indexed citations
8.
Iudici, Antonio, Alessandro Salvini, Elena Faccio, & Gianluca Castelnuovo. (2015). The Clinical Assessment in the Legal Field: An Empirical Study of Bias and Limitations in Forensic Expertise. Frontiers in Psychology. 6. 1831–1831. 22 indexed citations
9.
Laudani, Antonino, Francesco Riganti Fulginei, Alessandro Salvini, Gabriele Maria Lozito, & Fernando Mancilla–David. (2014). Implementation of a neural MPPT algorithm on a low-cost 8-bit microcontroller. Florence Research (University of Florence). 977–981. 20 indexed citations
10.
Coco, S., Antonino Laudani, Francesco Riganti Fulginei, & Alessandro Salvini. (2013). Bacterial chemotaxis shape optimization of electromagnetic devices. Inverse Problems in Science and Engineering. 22(6). 910–923. 12 indexed citations
11.
Carrasco, Miguel, Fernando Mancilla–David, Francesco Riganti Fulginei, Antonino Laudani, & Alessandro Salvini. (2013). A neural networks-based maximum power point tracker with improved dynamics for variable dc-link grid-connected photovoltaic power plants. International Journal of Applied Electromagnetics and Mechanics. 43(1-2). 127–135. 20 indexed citations
12.
Coco, S., Antonino Laudani, Francesco Riganti Fulginei, & Alessandro Salvini. (2012). Accurate design of Helmholtz coils for ELF Bioelectromagnetic interaction by means of Continuous FSO. International Journal of Applied Electromagnetics and Mechanics. 39(1-4). 651–656. 18 indexed citations
13.
Salvini, Alessandro, Elena Faccio, Giuseppe Mininni, et al.. (2012). Change in Psychotherapy: A Dialogical Analysis Single-Case Study of a Patient with Bulimia Nervosa. Frontiers in Psychology. 3. 546–546. 32 indexed citations
14.
Fulginei, Francesco Riganti & Alessandro Salvini. (2009). Hysteresis model identification by the Flock-of-Starlings Optimization. International Journal of Applied Electromagnetics and Mechanics. 30(3-4). 321–331. 21 indexed citations
15.
Fulginei, Francesco Riganti & Alessandro Salvini. (2006). Minimization of Transmission Line Power Losses by Bacterial Chemotaxis Algorithm. WSEAS TRANSACTIONS ON POWER SYSTEMS. 2. 503–508. 1 indexed citations
16.
Fulginei, Francesco Riganti & Alessandro Salvini. (2005). Bacterial Chemotaxis Algorithm for Load Flow Optimization.
17.
Fulginei, Francesco Riganti & Alessandro Salvini. (2005). Neural Networks for Estimation of Iron Losses in Ferromagnetic Cores. 1 indexed citations
18.
Salvini, Alessandro, et al.. (2000). A Neural network approach to protein sequences processing. Iris (Roma Tre University). 1. 283–285.
19.
Geri, A., Alessandro Salvini, & G.M. Veca. (1996). Effects of magnetic field characteristics on SC MHD linear generator performance. Latvian Journal of Physics and Technical Sciences. 3. 10–16. 3 indexed citations
20.
Salvini, Alessandro. (1988). Il rito aggressivo dall'aggressività simbolica al comportamento violento: il caso dei tifosi ultras. 4 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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