Raffaele Santagati
- Artificial Intelligence top 0.5%
- Quantum Information and Cryptography 30
- Quantum Computing Algorithms and Architecture 22
- Neural Networks and Reservoir Computing 21
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- Quantum and electron transport phenomena 6
- Quantum many-body systems 4
- Condensed Matter Physics top 5%
- Acoustics and Ultrasonics top 10%
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- Photonic and Optical Devices 10
- Optical Network Technologies 5
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- Machine Learning in Materials Science 3
- Co-authors
- Mark G. ThompsonAndrea CavagnaFabio StefaniniGiorgio ParisiIrene GiardinaMassimiliano VialeStefano PaesaniJianwei Wang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (3 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Raffaele Santagati
45 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 1.6k
- Atomic and Molecular Physics, and Optics 961
- Condensed Matter Physics 271
- Acoustics and Ultrasonics 20
- Statistical and Nonlinear Physics 271
Countries citing papers authored by Raffaele Santagati
This map shows the geographic impact of Raffaele Santagati'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 Raffaele Santagati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaele Santagati more than expected).
Fields of papers citing papers by Raffaele Santagati
This network shows the impact of papers produced by Raffaele Santagati. 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 Raffaele Santagati. The network helps show where Raffaele Santagati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raffaele Santagati, 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 | 2 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 47 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 38 | |
| 9 | An optical neural chip for implementing complex-valued neural networkbreakdown → | 2021 | 436 |
| 10 | 2020 | 3 | |
| 11 | 2019 | 0 | |
| 12 | 2019 | 135 | |
| 13 | 2018 | 124 | |
| 14 | 2017 | 112 | |
| 15 | 2016 | 9 | |
| 16 | Quantum simulation of Hamiltonian spectra on a silicon chip | 2016 | 4 |
| 17 | 2015 | 173 | |
| 18 | Scale-free correlations in starling flocksbreakdown → | 2010 | 715 |
| 19 | 2010 | 68 | |
| 20 | 2008 | 41 |
About Raffaele Santagati
Raffaele Santagati is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Biophysics, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (30 papers), Quantum Computing Algorithms and Architecture (22 papers), Neural Networks and Reservoir Computing (21 papers), Photonic and Optical Devices (10 papers), Quantum and electron transport phenomena (6 papers), Optical Network Technologies (5 papers), Quantum many-body systems (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Atomic and Molecular Physics, and Optics (961 citations) and Condensed Matter Physics (271 citations). Raffaele Santagati has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mark G. Thompson, Andrea Cavagna, Fabio Stefanini, Giorgio Parisi, Irene Giardina, Massimiliano Viale, Stefano Paesani, Jianwei Wang, Anthony Laing and Jeremy L. O’Brien. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.