Mattia Guacci
- Electrical and Electronic Engineering top 5%
- Condensed Matter Physics top 5%
- Automotive Engineering top 10%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Co-authors
- Johann W. KolarDominik BortisGrayson ZulaufGerald DeboyDaifei ZhangDominik NeumayrJon Azurza AndersonYusuke Kinoshita
- Topics
- Silicon Carbide Semiconductor Technologies (17 papers)Advanced DC-DC Converters (12 papers)Multilevel Inverters and Converters (11 papers)
- Journals
- IEEE Transactions on Power ElectronicsIEEE Journal of Emerging and Selected Topics in Power ElectronicsElectrical Engineering
- Partner nations
- SwitzerlandAustriaItaly
In The Last Decade
Mattia Guacci
22 papers receiving 728 citations
Peers
Comparison fields: 5 of 23
- Electrical and Electronic Engineering 719
- Condensed Matter Physics 196
- Automotive Engineering 81
- Control and Systems Engineering 72
- Mechanical Engineering 33
Countries citing papers authored by Mattia Guacci
This map shows the geographic impact of Mattia Guacci'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 Mattia Guacci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Guacci more than expected).
Fields of papers citing papers by Mattia Guacci
This network shows the impact of papers produced by Mattia Guacci. 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 Mattia Guacci. The network helps show where Mattia Guacci may publish in the future.
Co-authorship network of co-authors of Mattia Guacci
This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Guacci. A scholar is included among the top collaborators of Mattia Guacci 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 Mattia Guacci. Mattia Guacci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 26 | |
| 3 | 14 | |
| 4 | 49 | |
| 5 | 31 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | Full-SiC integrated power module based on planar packaging technology for high efficiency power converters in aircraft applications | 2 |
| 9 | 22 | |
| 10 | 94 | |
| 11 | 68 | |
| 12 | 66 | |
| 13 | 51 | |
| 14 | 35 | |
| 15 | 66 | |
| 16 | 23 | |
| 17 | 74 | |
| 18 | 3 | |
| 19 | 36 | |
| 20 | 1 |
About Mattia Guacci
Mattia Guacci is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering and Automotive Engineering, having authored 22 papers that have together received 748 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (17 papers), Advanced DC-DC Converters (12 papers) and Multilevel Inverters and Converters (11 papers). The work is most often cited by research in Condensed Matter Physics (196 citations), Electrical and Electronic Engineering (719 citations) and Automotive Engineering (81 citations). Mattia Guacci has collaborated with scholars based in Switzerland, Austria and Italy. Frequent co-authors include Johann W. Kolar, Dominik Bortis, Grayson Zulauf, Gerald Deboy, Daifei Zhang, Dominik Neumayr, Jon Azurza Anderson, Yusuke Kinoshita, Hidetoshi Ishida and Jordi Everts. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Journal of Emerging and Selected Topics in Power Electronics and Electrical Engineering.
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.