Joshua W. Silverstone
- Artificial Intelligence top 1%
- Quantum Information and Cryptography 21
- Neural Networks and Reservoir Computing 17
- Quantum Computing Algorithms and Architecture 5
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- Mechanical and Optical Resonators 8
- Photonic Crystals and Applications 4
- Acoustics and Ultrasonics top 5%
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- Photonic and Optical Devices 26
- Advanced Fiber Optic Sensors 5
- Semiconductor Lasers and Optical Devices 3
- Instrumentation top 10%
- Co-authors
- Mark G. ThompsonJeremy L. O’BrienDamien BonneauGraham D. MarshallPeter ShadboltJacques CarolanJonathan C. F. MatthewsNicholas J. Russell
- Partner nations
- United KingdomCanadaJapan
In The Last Decade
Joshua W. Silverstone
37 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 1.3k
- Atomic and Molecular Physics, and Optics 1.1k
- Acoustics and Ultrasonics 31
- Electrical and Electronic Engineering 1.4k
- Instrumentation 32
Countries citing papers authored by Joshua W. Silverstone
This map shows the geographic impact of Joshua W. Silverstone'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 Joshua W. Silverstone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua W. Silverstone more than expected).
Fields of papers citing papers by Joshua W. Silverstone
This network shows the impact of papers produced by Joshua W. Silverstone. 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 Joshua W. Silverstone. The network helps show where Joshua W. Silverstone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua W. Silverstone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 24 | |
| 4 | 2019 | 1 | |
| 5 | 2018 | 16 | |
| 6 | 2018 | 124 | |
| 7 | 2018 | 1 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 9 | |
| 10 | Quantum simulation of Hamiltonian spectra on a silicon chip | 2016 | 4 |
| 11 | 2016 | 101 | |
| 12 | 2015 | 173 | |
| 13 | Universal linear opticsbreakdown → | 2015 | 695 |
| 14 | 2015 | 2 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 9 | |
| 17 | 2013 | 2 | |
| 18 | 2012 | 46 | |
| 19 | 2011 | 38 | |
| 20 | 2011 | 15 |
About Joshua W. Silverstone
Joshua W. Silverstone is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Photonic and Optical Devices (26 papers), Quantum Information and Cryptography (21 papers), Neural Networks and Reservoir Computing (17 papers), Mechanical and Optical Resonators (8 papers), Advanced Fiber Optic Sensors (5 papers), Quantum Computing Algorithms and Architecture (5 papers), Photonic Crystals and Applications (4 papers) and Semiconductor Lasers and Optical Devices (3 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Acoustics and Ultrasonics (31 citations). Joshua W. Silverstone has collaborated with scholars based in United Kingdom, Canada and Japan. Frequent co-authors include Mark G. Thompson, Jeremy L. O’Brien, Damien Bonneau, Graham D. Marshall, Peter Shadbolt, Jacques Carolan, Jonathan C. F. Matthews, Nicholas J. Russell, Manabu Oguma and Anthony Laing. Their work appears in journals such as Science, Nature Communications and Nature Photonics.
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.