Jonathan Lavoie
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Materials Chemistry
- Co-authors
- Rainer KaltenbaekK. J. ReschKevin J. ReschJohn M. DonohueNicolás QuesadaLars S. MadsenIsh DhandTrevor Vincent
- Topics
- Quantum Information and Cryptography (22 papers)Quantum Computing Algorithms and Architecture (10 papers)Quantum optics and atomic interactions (10 papers)
- Partner nations
- CanadaSwitzerlandUnited States
In The Last Decade
Jonathan Lavoie
47 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 1.1k
- Atomic and Molecular Physics, and Optics 986
- Electrical and Electronic Engineering 306
- Aerospace Engineering 72
- Materials Chemistry 64
Countries citing papers authored by Jonathan Lavoie
This map shows the geographic impact of Jonathan Lavoie'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 Jonathan Lavoie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Lavoie more than expected).
Fields of papers citing papers by Jonathan Lavoie
This network shows the impact of papers produced by Jonathan Lavoie. 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 Jonathan Lavoie. The network helps show where Jonathan Lavoie may publish in the future.
Co-authorship network of co-authors of Jonathan Lavoie
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Lavoie. A scholar is included among the top collaborators of Jonathan Lavoie 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 Jonathan Lavoie. Jonathan Lavoie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Quantum computational advantage with a programmable photonic processorbreakdown → | 603 |
| 2 | 13 | |
| 3 | 5 | |
| 4 | LiRS combined LIBS, Raman and Fluorescence Astrobiology Payload for potential Europa Lander | 1 |
| 5 | 1 | |
| 6 | 0 | |
| 7 | Efficient optical pumping using hyperfine levels in <sup>145</sup>Nd<sup>3+</sup>:Y<sub>2</sub>SiO<sub>5</sub> and its application to optical storage | 17 |
| 8 | 9 | |
| 9 | 26 | |
| 10 | 25 | |
| 11 | 10 | |
| 12 | 19 | |
| 13 | 109 | |
| 14 | 58 | |
| 15 | Lunar Dust Mitigation for the Potential LORE Science Payload | 0 |
| 16 | 68 | |
| 17 | 62 | |
| 18 | 27 | |
| 19 | 14 | |
| 20 | 12 |
About Jonathan Lavoie
Jonathan Lavoie is a scholar working on Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (22 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum optics and atomic interactions (10 papers). The work is most often cited by research in Acoustics and Ultrasonics (51 citations), Artificial Intelligence (1.1k citations) and Atomic and Molecular Physics, and Optics (986 citations). Jonathan Lavoie has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Rainer Kaltenbaek, K. J. Resch, Kevin J. Resch, John M. Donohue, Nicolás Quesada, Lars S. Madsen, Ish Dhand, Trevor Vincent, Sae Woo Nam and Matthew J. Collins. Their work appears in journals such as Nature, 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.