Matteo Fadel
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Philipp TreutleinTilman ZiboldYiwen ChuUwe von LüpkeYu YangManuel GessnerJean-Daniel BancalNicolas Sangouard
- Topics
- Quantum Information and Cryptography (39 papers)Quantum Mechanics and Applications (30 papers)Cold Atom Physics and Bose-Einstein Condensates (20 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- SwitzerlandSpainChina
In The Last Decade
Matteo Fadel
49 papers receiving 945 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Atomic and Molecular Physics, and Optics 879
- Artificial Intelligence 663
- Statistical and Nonlinear Physics 124
- Electrical and Electronic Engineering 51
- Biomedical Engineering 40
Countries citing papers authored by Matteo Fadel
This map shows the geographic impact of Matteo Fadel'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 Matteo Fadel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Fadel more than expected).
Fields of papers citing papers by Matteo Fadel
This network shows the impact of papers produced by Matteo Fadel. 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 Matteo Fadel. The network helps show where Matteo Fadel may publish in the future.
Co-authorship network of co-authors of Matteo Fadel
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Fadel. A scholar is included among the top collaborators of Matteo Fadel 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 Matteo Fadel. Matteo Fadel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 36 | |
| 12 | 12 | |
| 13 | 12 | |
| 14 | 41 | |
| 15 | 18 | |
| 16 | 3 | |
| 17 | 18 | |
| 18 | 20 | |
| 19 | 45 | |
| 20 | 130 |
About Matteo Fadel
Matteo Fadel is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 50 papers that have together received 970 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (39 papers), Quantum Mechanics and Applications (30 papers) and Cold Atom Physics and Bose-Einstein Condensates (20 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (879 citations), Artificial Intelligence (663 citations) and Statistical and Nonlinear Physics (124 citations). Matteo Fadel has collaborated with scholars based in Switzerland, Spain and China. Frequent co-authors include Philipp Treutlein, Tilman Zibold, Yiwen Chu, Uwe von Lüpke, Yu Yang, Manuel Gessner, Jean-Daniel Bancal, Nicolas Sangouard, Roman Schmied and Baptiste Allard. Their work appears in journals such as Science, 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.