I. Moscato
Impact in
- Nuclear and High Energy Physics top 10%
- Magnetic confinement fusion research
- Aerospace Engineering top 5%
- Nuclear reactor physics and engineering
- Nuclear Engineering Thermal-Hydraulics
- Particle accelerators and beam dynamics
Papers in
-
- Fusion materials and technologies 28
- Nuclear Materials and Properties 15
-
- Nuclear reactor physics and engineering 26
- Nuclear Engineering Thermal-Hydraulics 2
- Co-authors
- S. Ciattaglia (16 shared papers)L. Barucca (13 shared papers)P. Pereslavtsev (6 shared papers)Francisco A. Hernández (8 shared papers)L.V. Boccaccini (5 shared papers)Alessandro Del Nevo (8 shared papers)Guangming Zhou (5 shared papers)P.A. Di Maio (15 shared papers)
In The Last Decade
I. Moscato
34 papers receiving 530 citations
Peers
Comparison fields: 5 of 37
- Nuclear and High Energy Physics 171
- Aerospace Engineering 309
- Materials Chemistry 433
- Radiation 38
- Biomedical Engineering 143
Countries citing papers authored by I. Moscato
This map shows the geographic impact of I. Moscato'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 I. Moscato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Moscato more than expected).
Fields of papers citing papers by I. Moscato
This network shows the impact of papers produced by I. Moscato. 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 I. Moscato. The network helps show where I. Moscato may publish in the future.
Co-authors
The 25 scholars most cited alongside I. Moscato, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2019 | 57 | |
| 3 | 2018 | 54 | |
| 4 | 2019 | 53 | |
| 5 | 2020 | 49 | |
| 6 | 2021 | 45 | |
| 7 | 2022 | 29 | |
| 8 | 2017 | 28 | |
| 9 | 2018 | 25 | |
| 10 | 2018 | 19 | |
| 11 | 2020 | 15 | |
| 12 | 2022 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 4 |
About I. Moscato
I. Moscato is a scholar working on Materials Chemistry, Aerospace Engineering, Biomedical Engineering, Nuclear and High Energy Physics and Safety, Risk, Reliability and Quality, having authored 36 papers that have together received 538 indexed citations. Recurring topics across this work include Fusion materials and technologies (28 papers), Nuclear reactor physics and engineering (26 papers), Nuclear Materials and Properties (15 papers), Superconducting Materials and Applications (9 papers), Magnetic confinement fusion research (8 papers), Nuclear and radioactivity studies (5 papers), Nuclear Physics and Applications (2 papers) and Nuclear Engineering Thermal-Hydraulics (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (171 citations), Aerospace Engineering (309 citations), Materials Chemistry (433 citations), Radiation (38 citations) and Biomedical Engineering (143 citations). I. Moscato has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include S. Ciattaglia, L. Barucca, P. Pereslavtsev, Francisco A. Hernández, L.V. Boccaccini, Alessandro Del Nevo, Guangming Zhou, P.A. Di Maio, Heiko Neuberger and Qinlan Kang. Their work appears in journals such as Fusion Engineering and Design, Nuclear Fusion, Fusion Science & Technology, IEEE Transactions on Plasma Science and Energies.
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.