M. Mattei
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- Magnetic confinement fusion research 74
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- Advanced Control Systems Optimization 29
- Stability and Control of Uncertain Systems 28
- Control Systems and Identification 24
- Fault Detection and Control Systems 23
- Adaptive Control of Nonlinear Systems 22
- Aerospace Engineering top 1%
- Biomedical Engineering top 5%
- Superconducting Materials and Applications 49
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- Fusion materials and technologies 29
In The Last Decade
M. Mattei
171 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 76
- Nuclear and High Energy Physics 895
- Control and Systems Engineering 848
- Aerospace Engineering 890
- Computer Vision and Pattern Recognition 290
- Biomedical Engineering 503
Countries citing papers authored by M. Mattei
This map shows the geographic impact of M. Mattei'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 M. Mattei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mattei more than expected).
Fields of papers citing papers by M. Mattei
This network shows the impact of papers produced by M. Mattei. 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 M. Mattei. The network helps show where M. Mattei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Mattei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 24 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 31 | |
| 15 | 2019 | 11 | |
| 16 | 2019 | 8 | |
| 17 | 2018 | 4 | |
| 18 | 2015 | 19 | |
| 19 | Coupled core/SOL modelling of fuelling requirements during the current ramp-up of ITER L-mode plasmas | 2015 | 1 |
| 20 | Development of 20s long hybrid scenarios on JET | 2007 | 3 |
About M. Mattei
M. Mattei is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 178 papers that have together received 2.3k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (74 papers), Superconducting Materials and Applications (49 papers), Fusion materials and technologies (29 papers), Advanced Control Systems Optimization (29 papers), Stability and Control of Uncertain Systems (28 papers), Control Systems and Identification (24 papers), Fault Detection and Control Systems (23 papers) and Adaptive Control of Nonlinear Systems (22 papers). The work is most often cited by research in Nuclear and High Energy Physics (895 citations), Control and Systems Engineering (848 citations), Aerospace Engineering (890 citations), Computer Vision and Pattern Recognition (290 citations) and Biomedical Engineering (503 citations). M. Mattei has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Egidio D’Amato, Immacolata Notaro, R. Albanese, Francesco Amato, R. Ambrosino, Luciano Blasi, Valerio Scordamaglia, A. Pironti, F. Villone and G. De Tommasi. Their work appears in journals such as Fusion Engineering and Design, Nuclear Fusion, Automatica, International Journal of Robust and Nonlinear Control and IEEE Transactions on Plasma Science.
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.