Alessia Suprano

785 citations
23 papers · 474 · h-index 14

Impact in

Papers in

Alessia Suprano

21 papers receiving 460 citations

Peers

Alessia Suprano
Comparison fields: 5 of 43
  • Acoustics and Ultrasonics 31
  • Atomic and Molecular Physics, and Optics 367
  • Artificial Intelligence 273
  • Statistical and Nonlinear Physics 39
  • Biomedical Engineering 127
Replace Emanuele Polino with:
Emanuele Polino Italy
Lu‐Feng Qiao China
Taira Giordani Italy
Gonzalo Carvacho Italy
Lambert Giner Canada
J. A. W. van Houwelingen Switzerland
Ruo-Jing Ren China
Shengshuai Liu China
Chun-Hua Yuan China
Amir Feizpour Canada
Alessia Suprano relative to Emanuele Polino Italy Emanuele Polino's profile →
Citations per field
00.5×1.5×1.8×
Emanuele Polino · 1×
Citations per year

Countries citing papers authored by Alessia Suprano

Since Specialization
Citations

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

Fields of papers citing papers by Alessia Suprano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alessia Suprano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alessia Suprano Line = papers co-authored together Alessia Suprano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020105
2 202062
3 201961
4 202042
5 202123
6 202423
7 202119
8 202318
9 202217
10 202116
11 202116
12 202215
13 202214
14 202314
15 202312
16 202011
17 20242
18 20251
19 20231
20 20221

About Alessia Suprano

Alessia Suprano is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Statistical and Nonlinear Physics and Acoustics and Ultrasonics, having authored 23 papers that have together received 474 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (17 papers), Quantum Mechanics and Applications (9 papers), Orbital Angular Momentum in Optics (7 papers), Neural Networks and Reservoir Computing (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Optical Polarization and Ellipsometry (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Random lasers and scattering media (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (31 citations), Atomic and Molecular Physics, and Optics (367 citations), Artificial Intelligence (273 citations), Statistical and Nonlinear Physics (39 citations) and Biomedical Engineering (127 citations). Alessia Suprano has collaborated with scholars based in Italy, Brazil and United Kingdom. Frequent co-authors include Fabio Sciarrino, Emanuele Polino, Taira Giordani, Nicolò Spagnolo, Alessandro Ferraro, Luca Innocenti, Mauro Paternostro, Gonzalo Carvacho, Davide Poderini and Iris Agresti. Their work appears in journals such as Physical Review Letters, Advanced Photonics, PRX Quantum, Nature Communications and Physical Review Research.

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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