M. Mattei
Impact in
-
- Magnetic confinement fusion research
-
- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
Papers in
-
- Particle accelerators and beam dynamics 23
-
- Magnetic confinement fusion research 75
- Co-authors
- Egidio D’Amato (29 shared papers)Immacolata Notaro (28 shared papers)R. Albanese (31 shared papers)Francesco Amato (20 shared papers)Luciano Blasi (14 shared papers)A. Pironti (32 shared papers)R. Ambrosino (20 shared papers)Valerio Scordamaglia (16 shared papers)
In The Last Decade
M. Mattei
179 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 78
- Nuclear and High Energy Physics 945
- Control and Systems Engineering 896
- Aerospace Engineering 938
- Computer Vision and Pattern Recognition 308
- Biomedical Engineering 525
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-authors
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
Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 166 | |
| 2 | 2015 | 98 | |
| 3 | 2015 | 81 | |
| 4 | 2003 | 67 | |
| 5 | 2001 | 65 | |
| 6 | 2003 | 64 | |
| 7 | 2010 | 49 | |
| 8 | 2000 | 48 | |
| 9 | 2018 | 45 | |
| 10 | 2008 | 44 | |
| 11 | 2005 | 43 | |
| 12 | 2018 | 41 | |
| 13 | 2004 | 40 | |
| 14 | 2018 | 40 | |
| 15 | 2005 | 38 | |
| 16 | 2005 | 37 | |
| 17 | 2006 | 37 | |
| 18 | 2019 | 36 | |
| 19 | 2009 | 35 | |
| 20 | 2015 | 34 |
About M. Mattei
M. Mattei is a scholar working on Aerospace Engineering, Nuclear and High Energy Physics, Control and Systems Engineering, Biomedical Engineering and Materials Chemistry, having authored 183 papers that have together received 2.5k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (75 papers), Superconducting Materials and Applications (49 papers), Advanced Control Systems Optimization (31 papers), Fusion materials and technologies (30 papers), Stability and Control of Uncertain Systems (29 papers), Control Systems and Identification (24 papers), Fault Detection and Control Systems (23 papers) and Particle accelerators and beam dynamics (23 papers). The work is most often cited by research in Nuclear and High Energy Physics (945 citations), Control and Systems Engineering (896 citations), Aerospace Engineering (938 citations), Computer Vision and Pattern Recognition (308 citations) and Biomedical Engineering (525 citations). M. Mattei has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Egidio D’Amato, Immacolata Notaro, R. Albanese, Francesco Amato, Luciano Blasi, A. Pironti, R. Ambrosino, Valerio Scordamaglia, F. Villone and G. De Tommasi. Their work appears in journals such as Fusion Engineering and Design, Nuclear Fusion, Automatica, IEEE Transactions on Plasma Science and International Journal of Robust and Nonlinear Control.
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.