Alastair Kay
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Artur EkertMatthias ChristandlNilanjana DattaT. C. DorlasAndrew J. LandahlPeter Pemberton‐RossDimitris G. AngelakisDagomir Kaszlikowski
- Topics
- Quantum Information and Cryptography (40 papers)Quantum Computing Algorithms and Architecture (38 papers)Quantum Mechanics and Applications (24 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- United KingdomSingaporeGermany
In The Last Decade
Alastair Kay
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 46
- Atomic and Molecular Physics, and Optics 1.3k
- Artificial Intelligence 1.3k
- Statistical and Nonlinear Physics 140
- Computational Theory and Mathematics 132
- Electrical and Electronic Engineering 111
Countries citing papers authored by Alastair Kay
This map shows the geographic impact of Alastair Kay'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 Alastair Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alastair Kay more than expected).
Fields of papers citing papers by Alastair Kay
This network shows the impact of papers produced by Alastair Kay. 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 Alastair Kay. The network helps show where Alastair Kay may publish in the future.
Co-authorship network of co-authors of Alastair Kay
This figure shows the co-authorship network connecting the top 25 collaborators of Alastair Kay. A scholar is included among the top collaborators of Alastair Kay 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 Alastair Kay. Alastair Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 44 | |
| 7 | 29 | |
| 8 | 16 | |
| 9 | 55 | |
| 10 | 20 | |
| 11 | 11 | |
| 12 | 22 | |
| 13 | 19 | |
| 14 | 51 | |
| 15 | 4 | |
| 16 | 56 | |
| 17 | Local cloning of arbitrarily entangled multipartite states (4 pages) | 2 |
| 18 | Perfect state transfer: Beyond nearest-neighbor couplings (7 pages) | 1 |
| 19 | 106 | |
| 20 | 361 |
About Alastair Kay
Alastair Kay is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (40 papers), Quantum Computing Algorithms and Architecture (38 papers) and Quantum Mechanics and Applications (24 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.3k citations), Artificial Intelligence (1.3k citations) and Statistical and Nonlinear Physics (140 citations). Alastair Kay has collaborated with scholars based in United Kingdom, Singapore and Germany. Frequent co-authors include Artur Ekert, Matthias Christandl, Nilanjana Datta, T. C. Dorlas, Andrew J. Landahl, Peter Pemberton‐Ross, Dimitris G. Angelakis, Dagomir Kaszlikowski, Ravishankar Ramanathan and Stefan Nolte. Their work appears in journals such as Physical Review Letters, Physical Review A and Optics Letters.
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.