Casey R. Myers
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics
- Computational Theory and Mathematics
- Co-authors
- Krishna Kumar SabapathyTimothy C. RalphDaiqin SuRaymond LaflammeMartin LaforestJean-Christian BoileauNicolás QuesadaJosh Izaac
- Topics
- Quantum Information and Cryptography (19 papers)Quantum Computing Algorithms and Architecture (14 papers)Quantum Mechanics and Applications (8 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Partner nations
- AustraliaCanadaUnited Kingdom
In The Last Decade
Casey R. Myers
23 papers receiving 367 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 328
- Atomic and Molecular Physics, and Optics 283
- Electrical and Electronic Engineering 47
- Statistical and Nonlinear Physics 36
- Computational Theory and Mathematics 14
Countries citing papers authored by Casey R. Myers
This map shows the geographic impact of Casey R. Myers'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 Casey R. Myers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey R. Myers more than expected).
Fields of papers citing papers by Casey R. Myers
This network shows the impact of papers produced by Casey R. Myers. 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 Casey R. Myers. The network helps show where Casey R. Myers may publish in the future.
Co-authorship network of co-authors of Casey R. Myers
This figure shows the co-authorship network connecting the top 25 collaborators of Casey R. Myers. A scholar is included among the top collaborators of Casey R. Myers 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 Casey R. Myers. Casey R. Myers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 86 | |
| 7 | 9 | |
| 8 | Integrated quantum photonic sensor based on Hong-Ou-Mandel interference | 12 |
| 9 | 2 | |
| 10 | 21 | |
| 11 | 13 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 21 | |
| 16 | 9 | |
| 17 | 15 | |
| 18 | 7 | |
| 19 | 56 | |
| 20 | 1 |
About Casey R. Myers
Casey R. Myers is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 24 papers that have together received 387 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (14 papers) and Quantum Mechanics and Applications (8 papers). The work is most often cited by research in Artificial Intelligence (328 citations), Atomic and Molecular Physics, and Optics (283 citations) and Statistical and Nonlinear Physics (36 citations). Casey R. Myers has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Krishna Kumar Sabapathy, Timothy C. Ralph, Daiqin Su, Raymond Laflamme, Martin Laforest, Jean-Christian Boileau, Nicolás Quesada, Josh Izaac, Alexei Gilchrist and Juan Miguel Arrazola. Their work appears in journals such as Physical Review Letters, Nature Communications and Nature Nanotechnology.
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.