Fabrizio Buscemi

65 total papers · 1.0k total citations
49 papers, 754 citations indexed

About

Fabrizio Buscemi is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Fabrizio Buscemi has authored 49 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atomic and Molecular Physics, and Optics, 22 papers in Artificial Intelligence and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Fabrizio Buscemi's work include Quantum Information and Cryptography (22 papers), Phase-change materials and chalcogenides (20 papers) and Quantum Computing Algorithms and Architecture (16 papers). Fabrizio Buscemi is often cited by papers focused on Quantum Information and Cryptography (22 papers), Phase-change materials and chalcogenides (20 papers) and Quantum Computing Algorithms and Architecture (16 papers). Fabrizio Buscemi collaborates with scholars based in Italy, United States and Belgium. Fabrizio Buscemi's co-authors include Paolo Bordone, Claudia Benedetti, Andrea Bertoni, Matteo G. A. Paris, Enrico Piccinini, Carlo Jacoboni, M. Rudan, R. Brunetti, Andrea Cappelli and G. Compagno and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

Fabrizio Buscemi

48 papers receiving 733 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fabrizio Buscemi	588	524	158	139	72	49	754
Lei Du	585 1.0×	362 0.7×	163 1.0×	28 0.2×	49 0.7×	43	716
Zhen Yang	523 0.9×	328 0.6×	162 1.0×	30 0.2×	31 0.4×	59	620
Yong Hu	493 0.8×	348 0.7×	138 0.9×	61 0.4×	31 0.4×	33	630
Leif Roschier	506 0.9×	168 0.3×	216 1.4×	287 2.1×	29 0.4×	33	704
B. Roche	527 0.9×	141 0.3×	325 2.1×	127 0.9×	89 1.2×	30	668
Chengjie Zhu	714 1.2×	415 0.8×	175 1.1×	23 0.2×	40 0.6×	77	838
Dmitry Solenov	384 0.7×	248 0.5×	144 0.9×	115 0.8×	15 0.2×	41	672
Quentin Glorieux	638 1.1×	220 0.4×	142 0.9×	103 0.7×	80 1.1×	49	772
Yue Ban	689 1.2×	270 0.5×	165 1.0×	121 0.9×	62 0.9×	54	807
Marcin Szyniszewski	487 0.8×	251 0.5×	147 0.9×	219 1.6×	124 1.7×	22	669

Countries citing papers authored by Fabrizio Buscemi

Since Specialization

Citations

This map shows the geographic impact of Fabrizio Buscemi'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 Fabrizio Buscemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Buscemi more than expected).

Fields of papers citing papers by Fabrizio Buscemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabrizio Buscemi. 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 Fabrizio Buscemi. The network helps show where Fabrizio Buscemi may publish in the future.

Co-authorship network of co-authors of Fabrizio Buscemi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Buscemi. A scholar is included among the top collaborators of Fabrizio Buscemi 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 Fabrizio Buscemi. Fabrizio Buscemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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