Jonathan Allcock

679 total citations
20 papers, 374 citations indexed

About

Jonathan Allcock is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Jonathan Allcock has authored 20 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Atomic and Molecular Physics, and Optics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Jonathan Allcock's work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (12 papers) and Quantum and electron transport phenomena (6 papers). Jonathan Allcock is often cited by papers focused on Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (12 papers) and Quantum and electron transport phenomena (6 papers). Jonathan Allcock collaborates with scholars based in China, United Kingdom and Hong Kong. Jonathan Allcock's 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 and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review A.

In The Last Decade

Jonathan Allcock

18 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Allcock China 10 305 224 59 40 16 20 374
Filip Wudarski United States 11 349 1.1× 317 1.4× 64 1.1× 21 0.5× 21 1.3× 23 414
Sergii Strelchuk United Kingdom 12 380 1.2× 318 1.4× 33 0.6× 24 0.6× 13 0.8× 31 446
Stuart Flannigan United Kingdom 8 301 1.0× 362 1.6× 55 0.9× 31 0.8× 27 1.7× 10 508
Yulin Wu China 10 258 0.8× 279 1.2× 37 0.6× 25 0.6× 11 0.7× 25 372
Marius Nagy Canada 6 247 0.8× 210 0.9× 22 0.4× 40 1.0× 7 0.4× 31 307
Debopriyo Biswas United States 6 383 1.3× 355 1.6× 44 0.7× 42 1.1× 12 0.8× 10 477
Crystal Noel United States 9 439 1.4× 447 2.0× 57 1.0× 43 1.1× 17 1.1× 17 586
Andrew Risinger United States 8 407 1.3× 384 1.7× 48 0.8× 43 1.1× 13 0.8× 11 514
Giacomo De Palma Italy 15 394 1.3× 334 1.5× 121 2.1× 32 0.8× 4 0.3× 39 519
Laird Egan United States 6 495 1.6× 378 1.7× 49 0.8× 64 1.6× 16 1.0× 9 591

Countries citing papers authored by Jonathan Allcock

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Allcock, Jonathan, et al.. (2025). Quantum Best Arm Identification with Quantum Oracles. Proceedings of the AAAI Conference on Artificial Intelligence. 39(20). 21321–21329.
2.
Allcock, Jonathan, et al.. (2024). Quantum BGP with Online Path Selection via Network Benchmarking. 1401–1410. 8 indexed citations
3.
Ma, Shengming, et al.. (2024). A Parametric EDA Method for Coplanar Waveguide Channel Recognition and Air-Bridge Construction in Quantum Chip Design. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(10). 3004–3014. 1 indexed citations
4.
Allcock, Jonathan, et al.. (2024). Constant-depth circuits for Boolean functions and quantum memory devices using multi-qubit gates. Quantum. 8. 1530–1530. 5 indexed citations
5.
Yang, Ziyi, Jiezhong Qiu, Danyu Li, et al.. (2023). A mutation-induced drug resistance database (MdrDB). Communications Chemistry. 6(1). 123–123. 7 indexed citations
6.
Li, Weitang, Jonathan Allcock, Lixue Cheng, et al.. (2023). TenCirChem: An Efficient Quantum Computational Chemistry Package for the NISQ Era. Journal of Chemical Theory and Computation. 19(13). 3966–3981. 9 indexed citations
7.
Zhang, Shi‐Xin, Jonathan Allcock, Shuo Liu, et al.. (2023). TensorCircuit: a Quantum Software Framework for the NISQ Era. Quantum. 7. 912–912. 71 indexed citations
8.
Allcock, Jonathan, et al.. (2023). Does Qubit Connectivity Impact Quantum Circuit Complexity?. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(2). 520–533. 9 indexed citations
9.
Allcock, Jonathan, et al.. (2022). Quantum Networks with Multiple Service Providers: Transport Layer Protocols and Research Opportunities. IEEE Network. 36(5). 56–62. 8 indexed citations
10.
Allcock, Jonathan, et al.. (2022). Shortcuts to adiabaticity for open systems in circuit quantum electrodynamics. Nature Communications. 13(1). 188–188. 21 indexed citations
11.
Allcock, Jonathan, et al.. (2022). The Prospects of Monte Carlo Antibody Loop Modelling on a Fault-Tolerant Quantum Computer. arXiv (Cornell University). 2. 9 indexed citations
12.
Chen, Yuqin, et al.. (2020). Non-Markovian Noise Characterization with the Transfer Tensor Method. Physical Review Applied. 13(3). 20 indexed citations
13.
Allcock, Jonathan, Chang‐Yu Hsieh, Iordanis Kerenidis, & Shengyu Zhang. (2020). Quantum Algorithms for Feedforward Neural Networks. arXiv (Cornell University). 1(1). 1–24. 27 indexed citations
14.
Healy, Aoife, Sybil Farmer, Jonathan Allcock, et al.. (2019). A scoping literature review of studies assessing effectiveness and cost-effectiveness of prosthetic and orthotic interventions. Disability and Rehabilitation Assistive Technology. 15(1). 60–66. 12 indexed citations
15.
Allcock, Jonathan & Shengyu Zhang. (2018). Quantum machine learning. National Science Review. 6(1). 26–28. 31 indexed citations
16.
Allcock, Jonathan, Nicolas Brunner, Noah Linden, et al.. (2009). Closure of theories with limited non-locality. arXiv (Cornell University).
17.
Allcock, Jonathan, Harry Buhrman, & Noah Linden. (2009). Arbitrarily little knowledge can give a quantum advantage for nonlocal tasks. Physical Review A. 80(3). 1 indexed citations
18.
Allcock, Jonathan, Nicolas Brunner, Marcin Pawłowski, & Valerio Scarani. (2009). Recovering part of the boundary between quantum and nonquantum correlations from information causality. Physical Review A. 80(4). 50 indexed citations
19.
Allcock, Jonathan & Noah Linden. (2009). Quantum Communication beyond the Localization Length in Disordered Spin Chains. Physical Review Letters. 102(11). 110501–110501. 38 indexed citations
20.
Allcock, Jonathan, Nicolas Brunner, Noah Linden, et al.. (2009). Closed sets of nonlocal correlations. Physical Review A. 80(6). 47 indexed citations

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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