Oscar Higgott

2.7k total citations · 2 hit papers
9 papers, 621 citations indexed

About

Oscar Higgott is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Oscar Higgott has authored 9 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Oscar Higgott's work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (7 papers) and Quantum-Dot Cellular Automata (4 papers). Oscar Higgott is often cited by papers focused on Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (7 papers) and Quantum-Dot Cellular Automata (4 papers). Oscar Higgott collaborates with scholars based in United Kingdom and United States. Oscar Higgott's co-authors include Daochen Wang, Stephen Brierley, Nikolas P. Breuckmann, Craig Gidney, Thomas C. Bohdanowicz, Aleksander Kubica, Steven T. Flammia and Earl T. Campbell and has published in prestigious journals such as Physical Review Letters, Physical Review X and PRX Quantum.

In The Last Decade

Oscar Higgott

9 papers receiving 606 citations

Hit Papers

Variational Quantum Computation of Excited States 2019 2026 2021 2023 2019 2025 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Oscar Higgott United Kingdom 7 576 288 160 49 41 9 621
Aleksander Kubica United States 15 480 0.8× 239 0.8× 203 1.3× 66 1.3× 47 1.1× 25 557
Peter Groszkowski United States 11 522 0.9× 445 1.5× 87 0.5× 69 1.4× 23 0.6× 14 623
Nicolas Delfosse United States 12 497 0.9× 276 1.0× 155 1.0× 67 1.4× 54 1.3× 19 567
Hongxiang Chen China 5 554 1.0× 325 1.1× 110 0.7× 45 0.9× 14 0.3× 13 648
Kanav Setia United States 5 565 1.0× 349 1.2× 115 0.7× 45 0.9× 13 0.3× 7 651
Alexandru Paler United States 12 495 0.9× 214 0.7× 159 1.0× 114 2.3× 53 1.3× 43 581
Michael Newman United States 13 504 0.9× 266 0.9× 201 1.3× 105 2.1× 42 1.0× 22 678
Shuxiang Cao United Kingdom 5 535 0.9× 325 1.1× 107 0.7× 52 1.1× 11 0.3× 13 629
Panagiotis Kl. Barkoutsos Switzerland 13 666 1.2× 455 1.6× 110 0.7× 36 0.7× 10 0.2× 28 748
Jules Tilly United Kingdom 5 517 0.9× 341 1.2× 103 0.6× 43 0.9× 11 0.3× 5 625

Countries citing papers authored by Oscar Higgott

Since Specialization
Citations

This map shows the geographic impact of Oscar Higgott'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 Oscar Higgott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oscar Higgott more than expected).

Fields of papers citing papers by Oscar Higgott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oscar Higgott. 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 Oscar Higgott. The network helps show where Oscar Higgott may publish in the future.

Co-authorship network of co-authors of Oscar Higgott

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Higgott. A scholar is included among the top collaborators of Oscar Higgott 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 Oscar Higgott. Oscar Higgott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Higgott, Oscar & Craig Gidney. (2025). Sparse Blossom: correcting a million errors per core second with minimum-weight matching. Quantum. 9. 1600–1600. 33 indexed citations breakdown →
2.
Higgott, Oscar & Nikolas P. Breuckmann. (2024). Constructions and Performance of Hyperbolic and Semi-Hyperbolic Floquet Codes. PRX Quantum. 5(4). 15 indexed citations
3.
Higgott, Oscar, Thomas C. Bohdanowicz, Aleksander Kubica, Steven T. Flammia, & Earl T. Campbell. (2023). Improved Decoding of Circuit Noise and Fragile Boundaries of Tailored Surface Codes. Physical Review X. 13(3). 44 indexed citations
4.
Higgott, Oscar & Nikolas P. Breuckmann. (2023). Improved Single-Shot Decoding of Higher-Dimensional Hypergraph-Product Codes. PRX Quantum. 4(2). 30 indexed citations
5.
6.
Higgott, Oscar. (2021). PyMatching: A fast implementation of the minimum-weight perfect matching decoder. arXiv (Cornell University). 3 indexed citations
7.
Higgott, Oscar & Nikolas P. Breuckmann. (2020). Subsystem codes with high thresholds by gauge fixing and reduced qubit overhead. UCL Discovery (University College London). 1 indexed citations
8.
Wang, Daochen, Oscar Higgott, & Stephen Brierley. (2019). Accelerated Variational Quantum Eigensolver. Physical Review Letters. 122(14). 140504–140504. 148 indexed citations
9.
Higgott, Oscar, Daochen Wang, & Stephen Brierley. (2019). Variational Quantum Computation of Excited States. Quantum. 3. 156–156. 256 indexed citations breakdown →

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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