Peter Leek

4.0k total citations · 1 hit paper
45 papers, 2.8k citations indexed

About

Peter Leek is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Peter Leek has authored 45 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Atomic and Molecular Physics, and Optics, 36 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Peter Leek's work include Quantum Information and Cryptography (33 papers), Quantum and electron transport phenomena (25 papers) and Quantum Computing Algorithms and Architecture (16 papers). Peter Leek is often cited by papers focused on Quantum Information and Cryptography (33 papers), Quantum and electron transport phenomena (25 papers) and Quantum Computing Algorithms and Architecture (16 papers). Peter Leek collaborates with scholars based in United Kingdom, Switzerland and Canada. Peter Leek's co-authors include Andreas Wallraff, R. Bianchetti, J. M. Fink, Alexandre Blais, Matthias Baur, M. Göppl, Stefan Filipp, L. Steffen, Mattias Beck and Tobias Frey and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Peter Leek

45 papers receiving 2.8k citations

Hit Papers

Climbing the Jaynes–Cummings ladder and observing its non... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Leek United Kingdom 23 2.6k 2.0k 387 154 150 45 2.8k
Arkady Fedorov Australia 22 2.1k 0.8× 1.8k 0.9× 364 0.9× 82 0.5× 110 0.7× 62 2.4k
Fumiki Yoshihara Japan 19 2.1k 0.8× 1.7k 0.9× 218 0.6× 142 0.9× 124 0.8× 37 2.3k
M. Lenander United States 12 2.5k 0.9× 1.4k 0.7× 850 2.2× 149 1.0× 152 1.0× 14 2.6k
Chen-Lung Hung United States 16 2.0k 0.8× 994 0.5× 402 1.0× 49 0.3× 164 1.1× 29 2.1k
Rutian Huang China 6 2.6k 1.0× 2.1k 1.1× 418 1.1× 56 0.4× 115 0.8× 10 2.8k
P. Forn-Díaz Spain 12 2.1k 0.8× 1.6k 0.8× 225 0.6× 64 0.4× 157 1.0× 20 2.3k
David Petrosyan Greece 28 3.1k 1.2× 1.7k 0.9× 346 0.9× 91 0.6× 227 1.5× 81 3.2k
Anton Frisk Kockum Sweden 30 3.7k 1.4× 2.8k 1.4× 568 1.5× 105 0.7× 205 1.4× 74 4.0k
Jérôme Estève Spain 22 2.8k 1.1× 1.4k 0.7× 228 0.6× 127 0.8× 363 2.4× 65 3.0k
Mollie E. Schwartz United States 18 2.0k 0.7× 1.4k 0.7× 352 0.9× 611 4.0× 104 0.7× 35 2.5k

Countries citing papers authored by Peter Leek

Since Specialization
Citations

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

Fields of papers citing papers by Peter Leek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Leek

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Leek. A scholar is included among the top collaborators of Peter Leek 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 Peter Leek. Peter Leek 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.
Cao, Shuxiang, Jules Tilly, Abhishek Agarwal, et al.. (2024). Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit. Quantum Science and Technology. 9(4). 45037–45037. 4 indexed citations
2.
Cao, Shuxiang, Mustafa Bakr, Boris Shteynas, et al.. (2022). High coherence and low cross-talk in a tileable 3D integrated superconducting circuit architecture. Science Advances. 8(16). eabl6698–eabl6698. 23 indexed citations
3.
Cao, Shuxiang, et al.. (2022). Spatial Charge Sensitivity in a Multimode Superconducting Qubit. Physical Review Applied. 17(2). 1 indexed citations
4.
Mergenthaler, Matthias, Ani Nersisyan, Andrew D. Patterson, et al.. (2021). Circuit Quantum Electrodynamics with Carbon-Nanotube-Based Superconducting Quantum Circuits. Physical Review Applied. 15(6). 23 indexed citations
5.
Tancredi, Giovanna, Andrew D. Patterson, Martina Esposito, et al.. (2021). Critical slowing down in circuit quantum electrodynamics. Science Advances. 7(21). 22 indexed citations
6.
Jones, Stephen A., et al.. (2020). Efficient Hamiltonian programming in qubit arrays with nearest-neighbor couplings. Physical review. A. 102(3). 4 indexed citations
7.
Cao, Shuxiang, Leonard Wossnig, Brian Vlastakis, Peter Leek, & Edward Grant. (2020). Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits. Physical review. A. 101(5). 19 indexed citations
8.
Yuan, Xiao, Suguru Endo, Martina Esposito, et al.. (2019). Implementing the Variational Quantum Eigensolver with native 2-qubit interaction and error mitigation. Bulletin of the American Physical Society. 2019. 2 indexed citations
9.
Vlastakis, Brian, et al.. (2019). Modelling of TM Modes in Periodically-Shorted Cavities for Circuit QED. arXiv (Cornell University). 1 indexed citations
10.
Mergenthaler, Matthias, Junjie Liu, Jennifer J. Le Roy, et al.. (2017). Strong Coupling of Microwave Photons to Antiferromagnetic Fluctuations in an Organic Magnet. Physical Review Letters. 119(14). 147701–147701. 42 indexed citations
11.
Mavrogordatos, Th. K., Giovanna Tancredi, M. Elliott, et al.. (2017). Simultaneous Bistability of a Qubit and Resonator in Circuit Quantum Electrodynamics. Physical Review Letters. 118(4). 40402–40402. 25 indexed citations
12.
Manenti, Riccardo, Michael Peterer, Ani Nersisyan, et al.. (2016). Surface acoustic wave resonators in the quantum regime. Physical review. B.. 93(4). 67 indexed citations
13.
Magnusson, E. B., Ben H. Williams, Riccardo Manenti, et al.. (2015). Surface acoustic wave devices on bulk ZnO crystals at low temperature. Oxford University Research Archive (ORA) (University of Oxford). 53 indexed citations
14.
Peterer, Michael, Samuel James Bader, Xiaoyue Jin, et al.. (2015). Coherence and Decay of Higher Energy Levels of a Superconducting Transmon Qubit. Physical Review Letters. 114(1). 10501–10501. 143 indexed citations
15.
Leek, Peter, Matthias Baur, J. M. Fink, et al.. (2010). Cavity Quantum Electrodynamics with Separate Photon Storage and Qubit Readout Modes. Physical Review Letters. 104(10). 100504–100504. 107 indexed citations
16.
Fink, J. M., L. Steffen, Lev S. Bishop, et al.. (2010). Quantum-To-Classical Transition in Cavity Quantum Electrodynamics. Physical Review Letters. 105(16). 163601–163601. 56 indexed citations
17.
Fragner, A., M. Göppl, J. M. Fink, et al.. (2008). Resolving Vacuum Fluctuations in an Electrical Circuit by Measuring the Lamb Shift. Science. 322(5906). 1357–1360. 84 indexed citations
18.
Buitelaar, M. R., Vyacheslavs Kashcheyevs, Peter Leek, et al.. (2008). Adiabatic Charge Pumping in Carbon Nanotube Quantum Dots. Physical Review Letters. 101(12). 126803–126803. 49 indexed citations
19.
Fink, J. M., M. Göppl, Matthias Baur, et al.. (2008). Climbing the Jaynes–Cummings ladder and observing its nonlinearity in a cavity QED system. Nature. 454(7202). 315–318. 380 indexed citations breakdown →
20.
Leek, Peter, M. R. Buitelaar, V. I. Talyanskii, et al.. (2005). Charge Pumping in Carbon Nanotubes. Physical Review Letters. 95(25). 256802–256802. 74 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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