Paolo Aniello

585 total citations
50 papers, 346 citations indexed

About

Paolo Aniello is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Paolo Aniello has authored 50 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atomic and Molecular Physics, and Optics, 23 papers in Artificial Intelligence and 19 papers in Mathematical Physics. Recurrent topics in Paolo Aniello's work include Quantum Information and Cryptography (23 papers), Quantum Mechanics and Applications (18 papers) and Mathematical Analysis and Transform Methods (11 papers). Paolo Aniello is often cited by papers focused on Quantum Information and Cryptography (23 papers), Quantum Mechanics and Applications (18 papers) and Mathematical Analysis and Transform Methods (11 papers). Paolo Aniello collaborates with scholars based in Italy, Russia and Spain. Paolo Aniello's co-authors include G. Marmo, Cosmo Lupo, V. I. Manʹko, S. Solimeno, Ernesto De Vito, Gianni Cassinelli, F. Zaccaria, M. Napolitano, Antonello Scardicchio and Ruben Coen-Cagli and has published in prestigious journals such as Physical Review A, Physics Letters A and Journal of Mathematical Physics.

In The Last Decade

Paolo Aniello

48 papers receiving 339 citations

Peers

Paolo Aniello
Comparison fields: 5 of 23
  • Atomic and Molecular Physics, and Optics 218
  • Artificial Intelligence 189
  • Mathematical Physics 101
  • Applied Mathematics 77
  • Statistical and Nonlinear Physics 73
Replace Carlos Palazuelos with:
Carlos Palazuelos Spain
Kari Ylinen Finland
Г. Г. Амосов Russia
Sicong Jing China
Tommaso Isola Italy
Donald Bures
Guillaume Aubrun France
Martin Fraas Switzerland
Jukka Kiukas Finland
Lech Jakóbczyk Poland
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Citations per field, relative to Paolo Aniello
Paolo Aniello · 1×
Citations per year, relative to Paolo Aniello
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Countries citing papers authored by Paolo Aniello

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Aniello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Aniello

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 4
5 4
6 1
7 2
8 6
9 9
10 2
11 8
12 8
13 21
14
A new class of separability criteria for bipartite quantum systems
1
15 2
16 13
17 5
18 9
19 7
20 9

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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