Marco Sbroscia
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Marco BarbieriIlaria GiananiLuca MancinoEmanuele RocciaArmida SodoMaria Antonietta RicciValeria CiminiMauro Paternostro
- Topics
- Quantum Information and Cryptography (12 papers)Graphene research and applications (8 papers)Advanced Thermodynamics and Statistical Mechanics (7 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Marco Sbroscia
39 papers receiving 446 citations
Peers
Comparison fields: 5 of 88
- Atomic and Molecular Physics, and Optics 207
- Artificial Intelligence 166
- Statistical and Nonlinear Physics 123
- Materials Chemistry 90
- Electrical and Electronic Engineering 58
Countries citing papers authored by Marco Sbroscia
This map shows the geographic impact of Marco Sbroscia'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 Marco Sbroscia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Sbroscia more than expected).
Fields of papers citing papers by Marco Sbroscia
This network shows the impact of papers produced by Marco Sbroscia. 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 Marco Sbroscia. The network helps show where Marco Sbroscia may publish in the future.
Co-authorship network of co-authors of Marco Sbroscia
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Sbroscia. A scholar is included among the top collaborators of Marco Sbroscia 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 Marco Sbroscia. Marco Sbroscia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 29 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 18 | |
| 18 | 15 | |
| 19 | 19 | |
| 20 | 39 |
About Marco Sbroscia
Marco Sbroscia is a scholar working on Conservation, Statistical and Nonlinear Physics and Earth-Surface Processes, having authored 42 papers that have together received 453 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (12 papers), Graphene research and applications (8 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (123 citations), Conservation (26 citations) and Atomic and Molecular Physics, and Optics (207 citations). Marco Sbroscia has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Marco Barbieri, Ilaria Gianani, Luca Mancino, Emanuele Roccia, Armida Sodo, Maria Antonietta Ricci, Valeria Cimini, Mauro Paternostro, Giancarlο Della Ventura and Antonella De Pasquale. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nano 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.