Alessandro Farace

12 total papers · 1.1k total citations
11 papers, 755 citations indexed

About

Alessandro Farace is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Alessandro Farace has authored 11 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 9 papers in Artificial Intelligence and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Alessandro Farace's work include Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (6 papers) and Quantum Computing Algorithms and Architecture (4 papers). Alessandro Farace is often cited by papers focused on Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (6 papers) and Quantum Computing Algorithms and Architecture (4 papers). Alessandro Farace collaborates with scholars based in Italy, Germany and United Kingdom. Alessandro Farace's co-authors include Vittorio Giovannetti, J. I. Cirac, Erez Zohar, Rosario Fazio, Andrea Mari, Benni Reznik, Nicolas Didier, Francesco Ciccarello, Fardin Kheirandish and Mohammad Eghbali‐Arani and has published in prestigious journals such as Physical Review Letters, Physical Review A and New Journal of Physics.

In The Last Decade

Alessandro Farace

11 papers receiving 743 citations

Author Peers

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

Author Last Decade Papers Cites
Alessandro Farace 688 377 192 121 114 11 755
Peter Groß 636 0.9× 123 0.3× 43 0.2× 120 1.0× 107 0.9× 17 793
Neal B. Abraham 445 0.6× 299 0.8× 96 0.5× 144 1.2× 117 1.0× 19 653
M. Grau 557 0.8× 63 0.2× 72 0.4× 46 0.4× 131 1.1× 21 675
F. Rocca 701 1.0× 88 0.2× 186 1.0× 208 1.7× 107 0.9× 20 828
Noam Gross 449 0.7× 99 0.3× 195 1.0× 198 1.6× 62 0.5× 13 673
Zlatko Minev 619 0.9× 678 1.8× 14 0.1× 70 0.6× 70 0.6× 16 836
J. M. Radcliffe 678 1.0× 388 1.0× 19 0.1× 189 1.6× 98 0.9× 7 805
Srivatsan Chakram 751 1.1× 487 1.3× 13 0.1× 67 0.6× 153 1.3× 23 864
Nicola Bartolo 700 1.0× 306 0.8× 31 0.2× 164 1.4× 46 0.4× 18 812
V. M. Bastidas 654 1.0× 276 0.7× 91 0.5× 215 1.8× 33 0.3× 34 734

Countries citing papers authored by Alessandro Farace

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Farace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Farace

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Farace. A scholar is included among the top collaborators of Alessandro Farace 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 Alessandro Farace. Alessandro Farace 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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