Jonathan Allcock
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Materials Chemistry
- Co-authors
- Shengyu ZhangNoah LindenNicolas BrunnerChang‐Yu HsiehValerio ScaraniMarcin PawłowskiYi-Cong ZhengYuqin Chen
- Topics
- Quantum Computing Algorithms and Architecture (15 papers)Quantum Information and Cryptography (12 papers)Quantum and electron transport phenomena (6 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Jonathan Allcock
18 papers receiving 368 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 305
- Atomic and Molecular Physics, and Optics 224
- Statistical and Nonlinear Physics 59
- Computational Theory and Mathematics 40
- Materials Chemistry 16
Countries citing papers authored by Jonathan Allcock
This map shows the geographic impact of Jonathan Allcock'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 Allcock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Allcock more than expected).
Fields of papers citing papers by Jonathan Allcock
This network shows the impact of papers produced by Jonathan Allcock. 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 Allcock. The network helps show where Jonathan Allcock may publish in the future.
Co-authorship network of co-authors of Jonathan Allcock
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Allcock. A scholar is included among the top collaborators of Jonathan Allcock 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 Allcock. Jonathan Allcock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 71 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 21 | |
| 11 | 9 | |
| 12 | 20 | |
| 13 | 27 | |
| 14 | 12 | |
| 15 | 31 | |
| 16 | Closure of theories with limited non-locality | 0 |
| 17 | 1 | |
| 18 | 50 | |
| 19 | 38 | |
| 20 | 47 |
About Jonathan Allcock
Jonathan Allcock is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 20 papers that have together received 374 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (12 papers) and Quantum and electron transport phenomena (6 papers). The work is most often cited by research in Artificial Intelligence (305 citations), Atomic and Molecular Physics, and Optics (224 citations) and Statistical and Nonlinear Physics (59 citations). Jonathan Allcock has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Shengyu Zhang, Noah Linden, Nicolas Brunner, Chang‐Yu Hsieh, Valerio Scarani, Marcin Pawłowski, Yi-Cong Zheng, Yuqin Chen, Paul Skrzypczyk and Sandu Popescu. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review A.
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.