J. G. Keizer

1.6k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

J. G. Keizer is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, J. G. Keizer has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atomic and Molecular Physics, and Optics, 26 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in J. G. Keizer's work include Quantum and electron transport phenomena (26 papers), Advancements in Semiconductor Devices and Circuit Design (16 papers) and Semiconductor Quantum Structures and Devices (15 papers). J. G. Keizer is often cited by papers focused on Quantum and electron transport phenomena (26 papers), Advancements in Semiconductor Devices and Circuit Design (16 papers) and Semiconductor Quantum Structures and Devices (15 papers). J. G. Keizer collaborates with scholars based in Australia, Netherlands and Japan. J. G. Keizer's co-authors include M. Y. Simmons, S. K. Gorman, Daniel Keith, Yu He, Ludwik Kranz, P. M. Koenraad, Matthew House, Takaaki Mano, P. M. Koenraad and Samuel J. Hile and has published in prestigious journals such as Nature, Physical Review Letters and Advanced Materials.

In The Last Decade

J. G. Keizer

47 papers receiving 1.1k citations

Hit Papers

A two-qubit gate between phosphorus donor electrons in si... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. G. Keizer Australia 20 929 602 299 209 108 48 1.1k
S. P. Giblin United Kingdom 18 1.0k 1.1× 717 1.2× 133 0.4× 256 1.2× 84 0.8× 47 1.2k
Andrew Alves Australia 11 566 0.6× 403 0.7× 129 0.4× 182 0.9× 52 0.5× 22 889
Noriaki Tsukada Japan 18 939 1.0× 559 0.9× 153 0.5× 92 0.4× 54 0.5× 96 1.1k
Alex Harwit United States 10 719 0.8× 497 0.8× 130 0.4× 72 0.3× 101 0.9× 32 875
J. R. Prance United Kingdom 17 1.3k 1.4× 625 1.0× 386 1.3× 381 1.8× 55 0.5× 31 1.5k
A. A. Odintsov Russia 17 910 1.0× 423 0.7× 302 1.0× 115 0.6× 54 0.5× 50 1.1k
M. Kataoka United Kingdom 24 1.6k 1.7× 830 1.4× 161 0.5× 451 2.2× 130 1.2× 79 1.7k
Yusuf Yakar Türkiye 21 1.2k 1.3× 356 0.6× 491 1.6× 153 0.7× 94 0.9× 39 1.3k
Ming-Han Chou United States 21 1.3k 1.4× 1.2k 1.9× 60 0.2× 271 1.3× 75 0.7× 55 1.6k
Shannon P. Harvey United States 12 932 1.0× 384 0.6× 223 0.7× 558 2.7× 69 0.6× 22 1.6k

Countries citing papers authored by J. G. Keizer

Since Specialization
Citations

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

Fields of papers citing papers by J. G. Keizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. G. Keizer. 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 J. G. Keizer. The network helps show where J. G. Keizer may publish in the future.

Co-authorship network of co-authors of J. G. Keizer

This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Keizer. A scholar is included among the top collaborators of J. G. Keizer 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 J. G. Keizer. J. G. Keizer 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.
Voisin, B., Michael T. Jones, Luis Fabián Peña, et al.. (2025). Grover’s algorithm in a four-qubit silicon processor above the fault-tolerant threshold. Nature Nanotechnology. 20(4). 472–477. 10 indexed citations
2.
Timofeev, Andrey, Daniel Keith, John Rowlands, et al.. (2025). High-fidelity sub-microsecond single-shot electron spin readout above 3.5 K. Nature Communications. 16(1). 3382–3382. 1 indexed citations
3.
Jones, Michael T., et al.. (2025). An 11-qubit atom processor in silicon. Nature. 648(8094). 569–575.
4.
Keith, Daniel, S. K. Gorman, Ludwik Kranz, et al.. (2024). Engineering Spin‐Orbit Interactions in Silicon Qubits at the Atomic‐Scale. Advanced Materials. 36(26). e2312736–e2312736. 5 indexed citations
5.
Macha, P., Ludwik Kranz, Daniel Keith, et al.. (2024). High-fidelity initialization and control of electron and nuclear spins in a four-qubit register. Nature Nanotechnology. 19(5). 605–611. 11 indexed citations
6.
Keizer, J. G., et al.. (2023). Multi‐Scale Modeling of Tunneling in Nanoscale Atomically Precise Si:P Tunnel Junctions. Advanced Functional Materials. 33(18). 5 indexed citations
7.
Kranz, Ludwik, et al.. (2023). High-Fidelity CNOT Gate for Donor Electron Spin Qubits in Silicon. Physical Review Applied. 19(2). 6 indexed citations
8.
Gorman, S. K., et al.. (2022). Engineering topological states in atom-based semiconductor quantum dots. Nature. 606(7915). 694–699. 86 indexed citations
9.
Fricke, Lukas, Samuel J. Hile, Ludwik Kranz, et al.. (2021). Coherent control of a donor-molecule electron spin qubit in silicon. Nature Communications. 12(1). 3323–3323. 30 indexed citations
10.
Fricke, Lukas, Matthew House, Chin‐Yi Chen, et al.. (2018). Addressable electron spin resonance using donors and \ndonor molecules in silicos. Sussex Research Online (University of Sussex). 15 indexed citations
11.
Broome, Matthew A., S. K. Gorman, Matthew House, et al.. (2018). Two-electron spin correlations in precision placed donors in silicon. Nature Communications. 9(1). 980–980. 48 indexed citations
12.
Koch, Matthias, J. G. Keizer, Daniel Keith, et al.. (2018). Spin read-out in atomic qubits in an all-epitaxial three-dimensional transistor. Nature Nanotechnology. 14(2). 137–140. 49 indexed citations
13.
Gorman, S. K., Matthew A. Broome, Matthew House, et al.. (2018). Singlet-triplet minus mixing and relaxation lifetimes in a double donor dot. Applied Physics Letters. 112(24). 1 indexed citations
14.
Broome, Matthew A., S. K. Gorman, J. G. Keizer, et al.. (2016). Mapping the chemical potential landscape of a triple quantum dot. Physical review. B.. 94(5). 2 indexed citations
15.
Gorman, S. K., Matthew A. Broome, J. G. Keizer, et al.. (2016). Extracting inter-dot tunnel couplings between few donor quantum dots in silicon. New Journal of Physics. 18(5). 53041–53041. 4 indexed citations
16.
Tartakovskii, A. I., C. Schneider, Michael E. Reimer, et al.. (2012). Quantum Dots. Cambridge University Press eBooks. 32 indexed citations
17.
Jo, Masafumi, J. G. Keizer, Takaaki Mano, P. M. Koenraad, & Kazuaki Sakoda. (2011). Self-Assembly of GaAs Quantum Wires Grown on (311)A Substrates by Droplet Epitaxy. Applied Physics Express. 4(5). 55501–55501. 6 indexed citations
18.
Lu, Wei, M. Bozkurt, J. G. Keizer, et al.. (2010). Shape and size control of InAs/InP (113)B quantum dots by Sb deposition during the capping procedure. Nanotechnology. 22(5). 55703–55703. 7 indexed citations
19.
Keizer, J. G., Juanita Bocquel, P. M. Koenraad, et al.. (2010). Atomic scale analysis of self assembled GaAs/AlGaAs quantum dots grown by droplet epitaxy. Applied Physics Letters. 96(6). 50 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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