Normand J. Beaudry
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics
- Computational Theory and Mathematics
- Co-authors
- Tobias MoroderNorbert LütkenhausRenato RennerStefano ManciniMarco LucamariniMarco PianiVarun NarasimhacharOtfried Gühne
- Topics
- Quantum Information and Cryptography (7 papers)Quantum Computing Algorithms and Architecture (7 papers)Quantum Mechanics and Applications (6 papers)
- Partner nations
- CanadaSwitzerlandGermany
In The Last Decade
Normand J. Beaudry
8 papers receiving 304 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 271
- Atomic and Molecular Physics, and Optics 230
- Computer Vision and Pattern Recognition 20
- Statistical and Nonlinear Physics 13
- Computational Theory and Mathematics 10
Countries citing papers authored by Normand J. Beaudry
This map shows the geographic impact of Normand J. Beaudry'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 Normand J. Beaudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Normand J. Beaudry more than expected).
Fields of papers citing papers by Normand J. Beaudry
This network shows the impact of papers produced by Normand J. Beaudry. 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 Normand J. Beaudry. The network helps show where Normand J. Beaudry may publish in the future.
Co-authorship network of co-authors of Normand J. Beaudry
This figure shows the co-authorship network connecting the top 25 collaborators of Normand J. Beaudry. A scholar is included among the top collaborators of Normand J. Beaudry 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 Normand J. Beaudry. Normand J. Beaudry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 32 | |
| 3 | 59 | |
| 4 | 44 | |
| 5 | 31 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 99 |
About Normand J. Beaudry
Normand J. Beaudry is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 8 papers that have together received 315 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Mechanics and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (271 citations), Atomic and Molecular Physics, and Optics (230 citations) and Acoustics and Ultrasonics (4 citations). Normand J. Beaudry has collaborated with scholars based in Canada, Switzerland and Germany. Frequent co-authors include Tobias Moroder, Norbert Lütkenhaus, Renato Renner, Stefano Mancini, Marco Lucamarini, Marco Piani, Varun Narasimhachar, Otfried Gühne, Oleg Gittsovich and A. I. Lvovsky. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory 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.