Philip Sibson
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- Mark G. ThompsonChris ErvenJake KennardJeremy L. O’BrienStasja StanisicJohn RarityJonathan C. F. MatthewsDylan H. Mahler
- Topics
- Quantum Information and Cryptography (17 papers)Photonic and Optical Devices (6 papers)Neural Networks and Reservoir Computing (5 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsElectrical and Electronic Engineering
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Philip Sibson
17 papers receiving 462 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 392
- Atomic and Molecular Physics, and Optics 296
- Electrical and Electronic Engineering 245
- Computer Vision and Pattern Recognition 41
- Computational Theory and Mathematics 20
Countries citing papers authored by Philip Sibson
This map shows the geographic impact of Philip Sibson'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 Philip Sibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Sibson more than expected).
Fields of papers citing papers by Philip Sibson
This network shows the impact of papers produced by Philip Sibson. 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 Philip Sibson. The network helps show where Philip Sibson may publish in the future.
Co-authorship network of co-authors of Philip Sibson
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Sibson. A scholar is included among the top collaborators of Philip Sibson 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 Philip Sibson. Philip Sibson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 84 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 41 | |
| 10 | 4 | |
| 11 | 61 | |
| 12 | 2 | |
| 13 | 181 | |
| 14 | 87 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | Integrated photonic transmitter and receiver for quantum key distribution | 1 |
About Philip Sibson
Philip Sibson is a scholar working on Artificial Intelligence, Instrumentation and Atomic and Molecular Physics, and Optics, having authored 19 papers that have together received 497 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (17 papers), Photonic and Optical Devices (6 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Artificial Intelligence (392 citations), Atomic and Molecular Physics, and Optics (296 citations) and Electrical and Electronic Engineering (245 citations). Philip Sibson has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Mark G. Thompson, Chris Erven, Jake Kennard, Jeremy L. O’Brien, Stasja Stanisic, John Rarity, Jonathan C. F. Matthews, Dylan H. Mahler, Damien Bonneau and Gary F. Sinclair. Their work appears in journals such as Optics Express, IEEE Journal of Quantum Electronics and Optica.
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.