Marco Sbroscia

48 papers and 563 indexed citations i.

About

Marco Sbroscia is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Marco Sbroscia has authored 48 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 17 papers in Materials Chemistry and 17 papers in Artificial Intelligence. Recurrent topics in Marco Sbroscia’s work include Quantum Information and Cryptography (17 papers), Graphene research and applications (9 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). Marco Sbroscia is often cited by papers focused on Quantum Information and Cryptography (17 papers), Graphene research and applications (9 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). Marco Sbroscia collaborates with scholars based in Italy, Japan and Spain. Marco Sbroscia's co-authors include Marco Barbieri, Ilaria Gianani, Luca Mancino, Emanuele Roccia, Valeria Cimini, Maria Antonietta Ricci, Armida Sodo, Marco G. Genoni, Antonella De Pasquale and Vasco Cavina and has published in prestigious journals such as Physical Review Letters, Nano Letters and Advanced Functional Materials.

In The Last Decade

Co-authorship network of co-authors of Marco Sbroscia i

Fields of papers citing papers by Marco Sbroscia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Marco Sbroscia

Since Specialization
Citations

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).

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.

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