Marco Barbieri
Impact in
- Acoustics and Ultrasonics top 1%
- Artificial Intelligence top 0.1%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
Papers in
-
- Quantum Information and Cryptography 106
- Quantum Computing Algorithms and Architecture 34
- Neural Networks and Reservoir Computing 23
- Co-authors
- A. G. WhiteB. P. LanyonM. P. AlmeidaIan A. WalmsleyPaolo MataloniAnimesh DattaF. De MartiniPeter C. Humphreys
- Journals
- Physical Review Letters (22 papers)Physical Review A (16 papers)Physical review. A (15 papers)New Journal of Physics (5 papers)Scientific Reports (4 papers)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Marco Barbieri
125 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Acoustics and Ultrasonics 187
- Artificial Intelligence 5.4k
- Atomic and Molecular Physics, and Optics 5.1k
- Statistical and Nonlinear Physics 561
- Biophysics 111
Countries citing papers authored by Marco Barbieri
This map shows the geographic impact of Marco Barbieri'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 Barbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Barbieri more than expected).
Fields of papers citing papers by Marco Barbieri
This network shows the impact of papers produced by Marco Barbieri. 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 Barbieri. The network helps show where Marco Barbieri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Barbieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 29 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 42 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 14 | |
| 17 | Multiphoton quantum interference in multiport integrated optical circuits: from teleportation to boson sampling | 2015 | 1 |
| 18 | 2014 | 133 | |
| 19 | 2013 | 16 | |
| 20 | Multiparameter quantum metrology | 2012 | 9 |
About Marco Barbieri
Marco Barbieri is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Filtration and Separation, having authored 133 papers that have together received 6.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (106 papers), Quantum Mechanics and Applications (61 papers), Quantum Computing Algorithms and Architecture (34 papers), Neural Networks and Reservoir Computing (23 papers), Quantum optics and atomic interactions (21 papers), Advanced Thermodynamics and Statistical Mechanics (20 papers), Mechanical and Optical Resonators (16 papers) and Orbital Angular Momentum in Optics (10 papers). The work is most often cited by research in Acoustics and Ultrasonics (187 citations), Artificial Intelligence (5.4k citations), Atomic and Molecular Physics, and Optics (5.1k citations), Statistical and Nonlinear Physics (561 citations) and Biophysics (111 citations). Marco Barbieri has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include A. G. White, B. P. Lanyon, M. P. Almeida, Ian A. Walmsley, Paolo Mataloni, Animesh Datta, F. De Martini, Peter C. Humphreys, Xian‐Min Jin and W. Steven Kolthammer. Their work appears in journals such as Physical Review Letters, Physical Review A, Physical review. A, New Journal of Physics and Scientific Reports.
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.