Niel de Beaudrap

46 total papers · 443 total citations
15 papers, 129 citations indexed

About

Niel de Beaudrap is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Niel de Beaudrap has authored 15 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Atomic and Molecular Physics, and Optics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Niel de Beaudrap's work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (8 papers) and Quantum Mechanics and Applications (4 papers). Niel de Beaudrap is often cited by papers focused on Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (8 papers) and Quantum Mechanics and Applications (4 papers). Niel de Beaudrap collaborates with scholars based in United Kingdom, Germany and Canada. Niel de Beaudrap's co-authors include Dominic Horsman, Jens Eisert, Tobias J. Osborne, Ciarán M. Lee, Matty J. Hoban, Jonathan Barrett, Simon Perdrix, Aleks Kissinger, Konstantinos Meichanetzidis and Ross Duncan and has published in prestigious journals such as Physical Review Letters, Physical Review A and New Journal of Physics.

In The Last Decade

Niel de Beaudrap

15 papers receiving 123 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Niel de Beaudrap 96 86 29 12 11 15 129
Glen Bigan Mbeng 120 1.3× 96 1.1× 19 0.7× 11 0.9× 17 1.5× 10 163
Johannes Bausch 150 1.6× 126 1.5× 40 1.4× 17 1.4× 22 2.0× 18 215
Manuel S. Rudolph 135 1.4× 63 0.7× 16 0.6× 4 0.3× 6 0.5× 8 163
Konstantinos Meichanetzidis 83 0.9× 101 1.2× 10 0.3× 29 2.4× 9 0.8× 16 164
Christopher Cedzich 190 2.0× 185 2.2× 69 2.4× 11 0.9× 14 1.3× 17 248
Antonio Anna Mele 171 1.8× 99 1.2× 26 0.9× 2 0.2× 16 1.5× 10 208
Youwei Zhao 95 1.0× 57 0.7× 22 0.8× 7 0.6× 3 0.3× 16 138
M. Sohaib Alam 70 0.7× 51 0.6× 20 0.7× 5 0.4× 4 0.4× 9 99
I. Vakulchyk 65 0.7× 136 1.6× 12 0.4× 8 0.7× 44 4.0× 12 163
Adrian Hutter 171 1.8× 192 2.2× 36 1.2× 26 2.2× 24 2.2× 17 246

Countries citing papers authored by Niel de Beaudrap

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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