M. Rosa-Clot
- Renewable Energy, Sustainability and the Environment top 2%
- Electrical and Electronic Engineering top 5%
- Nuclear and High Energy Physics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Co-authors
- Giuseppe Marco TinaPaolo Rosa‐ClotT.E.O. EricsonRaniero CazzanigaPier Francesco ScanduraCristina VenturaP. ChristillinSandro Nižetić
- Topics
- Nuclear physics research studies (26 papers)Quantum Chromodynamics and Particle Interactions (15 papers)Photovoltaic System Optimization Techniques (12 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyNuclear and High Energy Physics
- Partner nations
- ItalySwitzerlandFrance
In The Last Decade
M. Rosa-Clot
73 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 77
- Renewable Energy, Sustainability and the Environment 982
- Electrical and Electronic Engineering 663
- Nuclear and High Energy Physics 566
- Atomic and Molecular Physics, and Optics 369
- Artificial Intelligence 320
Countries citing papers authored by M. Rosa-Clot
This map shows the geographic impact of M. Rosa-Clot'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. Rosa-Clot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rosa-Clot more than expected).
Fields of papers citing papers by M. Rosa-Clot
This network shows the impact of papers produced by M. Rosa-Clot. 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. Rosa-Clot. The network helps show where M. Rosa-Clot may publish in the future.
Co-authorship network of co-authors of M. Rosa-Clot
This figure shows the co-authorship network connecting the top 25 collaborators of M. Rosa-Clot. A scholar is included among the top collaborators of M. Rosa-Clot 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 M. Rosa-Clot. M. Rosa-Clot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 61 | |
| 3 | 109 | |
| 4 | 2 | |
| 5 | 42 | |
| 6 | 63 | |
| 7 | 18 | |
| 8 | 129 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 37 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 63 | |
| 15 | 156 | |
| 16 | 9 | |
| 17 | 5 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 6 |
About M. Rosa-Clot
M. Rosa-Clot is a scholar working on Nuclear and High Energy Physics, Renewable Energy, Sustainability and the Environment and Atomic and Molecular Physics, and Optics, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nuclear physics research studies (26 papers), Quantum Chromodynamics and Particle Interactions (15 papers) and Photovoltaic System Optimization Techniques (12 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (982 citations), Energy Engineering and Power Technology (180 citations) and Nuclear and High Energy Physics (566 citations). M. Rosa-Clot has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Giuseppe Marco Tina, Paolo Rosa‐Clot, T.E.O. Ericson, Raniero Cazzaniga, Pier Francesco Scandura, Cristina Ventura, P. Christillin, Sandro Nižetić, Stefano Taddei and R. Leonardi. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Applied Physics Letters.
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.