Niel de Beaudrap
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics
- Condensed Matter Physics
- Statistical and Nonlinear Physics
- Co-authors
- Dominic HorsmanTobias J. OsborneJens EisertJonathan BarrettCiarán M. LeeMatty J. HobanRoss DuncanKonstantinos Meichanetzidis
- Topics
- Quantum Computing Algorithms and Architecture (10 papers)Quantum Information and Cryptography (8 papers)Quantum Mechanics and Applications (4 papers)
- Partner nations
- United KingdomGermanyCanada
In The Last Decade
Niel de Beaudrap
15 papers receiving 124 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 98
- Atomic and Molecular Physics, and Optics 87
- Computational Theory and Mathematics 29
- Condensed Matter Physics 12
- Statistical and Nonlinear Physics 11
Countries citing papers authored by Niel de Beaudrap
This map shows the geographic impact of Niel de Beaudrap'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 Niel de Beaudrap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niel de Beaudrap more than expected).
Fields of papers citing papers by Niel de Beaudrap
This network shows the impact of papers produced by Niel de Beaudrap. 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 Niel de Beaudrap. The network helps show where Niel de Beaudrap may publish in the future.
Co-authorship network of co-authors of Niel de Beaudrap
This figure shows the co-authorship network connecting the top 25 collaborators of Niel de Beaudrap. A scholar is included among the top collaborators of Niel de Beaudrap 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 Niel de Beaudrap. Niel de Beaudrap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | Pauli Fusion : a computational model to realise quantum transformations from ZX terms | 6 |
| 4 | Fast and effective techniques for T-count reduction via spider nest identities | 2 |
| 5 | 29 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | Characterizing & constructing flows in the one-way measurement model in terms of disjoint I--O paths | 1 |
About Niel de Beaudrap
Niel de Beaudrap is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 15 papers that have together received 130 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (8 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Computational Mathematics (4 citations), Artificial Intelligence (98 citations) and Atomic and Molecular Physics, and Optics (87 citations). Niel de Beaudrap has collaborated with scholars based in United Kingdom, Germany and Canada. Frequent co-authors include Dominic Horsman, Tobias J. Osborne, Jens Eisert, Jonathan Barrett, Ciarán M. Lee, Matty J. Hoban, Ross Duncan, Konstantinos Meichanetzidis, Simon Perdrix and Aleks Kissinger. Their work appears in journals such as Physical Review Letters, Physical Review A and New Journal of Physics.
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.