G. Ribordy
- Artificial Intelligence top 0.05%
- Atomic and Molecular Physics, and Optics top 0.2%
- Electrical and Electronic Engineering top 2%
- Instrumentation top 1%
- Biophysics top 0.5%
- Co-authors
- Nicolas GisinHugo ZbindenWolfgang TittelValerio ScaraniAntonio AcínOlivier GuinnardSylvain FaselDamien Stucki
- Topics
- Quantum Information and Cryptography (16 papers)Quantum Mechanics and Applications (13 papers)Advanced Optical Sensing Technologies (9 papers)
- Partner nations
- SwitzerlandUnited StatesSweden
In The Last Decade
G. Ribordy
29 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 6.8k
- Atomic and Molecular Physics, and Optics 6.6k
- Electrical and Electronic Engineering 1.5k
- Instrumentation 715
- Biophysics 447
Countries citing papers authored by G. Ribordy
This map shows the geographic impact of G. Ribordy'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 G. Ribordy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ribordy more than expected).
Fields of papers citing papers by G. Ribordy
This network shows the impact of papers produced by G. Ribordy. 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 G. Ribordy. The network helps show where G. Ribordy may publish in the future.
Co-authorship network of co-authors of G. Ribordy
This figure shows the co-authorship network connecting the top 25 collaborators of G. Ribordy. A scholar is included among the top collaborators of G. Ribordy 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 G. Ribordy. G. Ribordy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | Trojan-horse attacks on quantum-key-distribution systemsbreakdown → | 420 |
| 4 | 2 | |
| 5 | Quantum Cryptography Protocols Robust against Photon Number Splitting Attacks for Weak Laser Pulse Implementationsbreakdown → | 514 |
| 6 | 37 | |
| 7 | 16 | |
| 8 | 352 | |
| 9 | 80 | |
| 10 | 1 | |
| 11 | Quantum cryptographybreakdown → | 5731 |
| 12 | 100 | |
| 13 | 40 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 34 | |
| 17 | 77 | |
| 18 | 149 | |
| 19 | 91 | |
| 20 | 1 |
About G. Ribordy
G. Ribordy is a scholar working on Instrumentation, Acoustics and Ultrasonics and Biophysics, having authored 29 papers that have together received 8.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (16 papers), Quantum Mechanics and Applications (13 papers) and Advanced Optical Sensing Technologies (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (6.6k citations), Artificial Intelligence (6.8k citations) and Instrumentation (715 citations). G. Ribordy has collaborated with scholars based in Switzerland, United States and Sweden. Frequent co-authors include Nicolas Gisin, Hugo Zbinden, Wolfgang Tittel, Valerio Scarani, Antonio Acín, Olivier Guinnard, Sylvain Fasel, Damien Stucki, Barbara Kraus and Jean-Daniel Gautier. Their work appears in journals such as Physical Review Letters, Reviews of Modern Physics and Physical Review A.
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.