Alessandro Salvini

116 papers receiving 1.9k citations

Peers

Alessandro Salvini
Comparison fields: 5 of 129
  • Renewable Energy, Sustainability and the Environment 726
  • Electronic, Optical and Magnetic Materials 532
  • Artificial Intelligence 652
  • Electrical and Electronic Engineering 905
  • Mechanical Engineering 432
Replace Dongsheng Yu with:
Dongsheng Yu China
Shuo Wang United States
Kung‐Yen Lee Taiwan
Alberto Vallan Italy
Wan Zuha Wan Hasan Malaysia
D.J. Nelson United States
Manel Gasulla Spain
Jianping Xu China
Kazuaki Yazawa United States
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Citations per year

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-authors

The 25 scholars most cited alongside Alessandro Salvini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alessandro Salvini Line = papers co-authored together Alessandro Salvini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014201
2 2014174
3 201371
4 201367
5 201563
6 200557
7 201650
8 200246
9 201245
10 201335
11 201434
12 201634
13 201232
14 201731
15 200731
16 201530
17 201529
18 201129
19 200828
20 201226

About Alessandro Salvini

Alessandro Salvini is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Artificial Intelligence, Mechanical Engineering and Renewable Energy, Sustainability and the Environment, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include Magnetic Properties and Applications (39 papers), Photovoltaic System Optimization Techniques (21 papers), Non-Destructive Testing Techniques (18 papers), Solar Radiation and Photovoltaics (17 papers), Microstructure and Mechanical Properties of Steels (14 papers), Electric Motor Design and Analysis (13 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Magnetic properties of thin films (10 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (726 citations), Electronic, Optical and Magnetic Materials (532 citations), Artificial Intelligence (652 citations), Electrical and Electronic Engineering (905 citations) and Mechanical Engineering (432 citations). Alessandro Salvini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent 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 Mauro Parodi. Their work appears in journals such as IEEE Transactions on Magnetics, Solar Energy, Physica B Condensed Matter, Inverse Problems in Science and Engineering and IEEE Transactions on Energy Conversion.

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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