Ludwik Kranz

619 total citations · 1 hit paper
18 papers, 400 citations indexed

About

Ludwik Kranz is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ludwik Kranz has authored 18 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 11 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ludwik Kranz's work include Quantum and electron transport phenomena (14 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (7 papers). Ludwik Kranz is often cited by papers focused on Quantum and electron transport phenomena (14 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (7 papers). Ludwik Kranz collaborates with scholars based in Australia and United Kingdom. Ludwik Kranz's co-authors include M. Y. Simmons, S. K. Gorman, J. G. Keizer, Yu He, Daniel Keith, Matthew A. Broome, Lukas Fricke, Matthew House, Rajib Rahman and Samuel J. Hile and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Ludwik Kranz

17 papers receiving 391 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A two-qubit gate between phosphorus donor electrons in silicon

2019 213 citations Yu He, S. K. Gorman et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ludwik Kranz Australia	9	335	197	143	78	20	18	400
Daniel Keith Australia	10	496 1.5×	306 1.6×	205 1.4×	92 1.2×	23 1.1×	18	569
S. K. Gorman Australia	11	503 1.5×	281 1.4×	190 1.3×	116 1.5×	27 1.4×	29	586
Adam Mills United States	7	378 1.1×	224 1.1×	207 1.4×	55 0.7×	31 1.6×	11	449
Pierre-André Mortemousque France	12	345 1.0×	183 0.9×	136 1.0×	57 0.7×	27 1.4×	24	392
Brian Paquelet Wuetz Netherlands	5	404 1.2×	266 1.4×	168 1.2×	52 0.7×	26 1.3×	6	467
Solomon Freer Australia	5	266 0.8×	125 0.6×	150 1.0×	44 0.6×	16 0.8×	5	320
Ross C. C. Leon Australia	7	304 0.9×	223 1.1×	134 0.9×	38 0.5×	17 0.8×	11	364
Samuel J. Hile Australia	10	573 1.7×	475 2.4×	190 1.3×	67 0.9×	22 1.1×	17	679
Mateusz Mądzik Netherlands	9	489 1.5×	279 1.4×	281 2.0×	56 0.7×	49 2.5×	22	590
J. C. Abadillo-Uriel France	12	377 1.1×	161 0.8×	167 1.2×	30 0.4×	6 0.3×	19	405

Countries citing papers authored by Ludwik Kranz

Since Specialization

Citations

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

Fields of papers citing papers by Ludwik Kranz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludwik Kranz

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

All Works

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18 of 18 papers shown

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

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

Jones, Michael T., et al.. (2025). An 11-qubit atom processor in silicon. Nature. 648(8094). 569–575.

Gorman, S. K., et al.. (2024). Impact of measurement backaction on nuclear spin qubits in silicon. Physical review. B.. 109(3). 1 indexed citations

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

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

Kranz, Ludwik, et al.. (2024). Machine Learning-Assisted Precision Manufacturing of Atom Qubits in Silicon. ACS Nano. 2 indexed citations

Kranz, Ludwik, et al.. (2023). Hyperfine-mediated spin relaxation in donor-atom qubits in silicon. Physical Review Research. 5(2). 6 indexed citations

Kranz, Ludwik, et al.. (2023). High-Fidelity CNOT Gate for Donor Electron Spin Qubits in Silicon. Physical Review Applied. 19(2). 6 indexed citations

10.

Jones, Michael T., P. Macha, J. G. Keizer, et al.. (2023). Atomic Engineering of Molecular Qubits for High-Speed, High-Fidelity Single Qubit Gates. ACS Nano. 17(22). 22601–22610. 1 indexed citations

11.

Kranz, Ludwik, S. K. Gorman, Yu He, et al.. (2022). The Use of Exchange Coupled Atom Qubits as Atomic‐Scale Magnetic Field Sensors. Advanced Materials. 35(6). e2201625–e2201625. 10 indexed citations

12.

Keith, Daniel, et al.. (2022). Ramped measurement technique for robust high-fidelity spin qubit readout. Science Advances. 8(36). eabq0455–eabq0455. 9 indexed citations

13.

Keith, Daniel, S. K. Gorman, Yu He, Ludwik Kranz, & M. Y. Simmons. (2022). Impact of charge noise on electron exchange interactions in semiconductors. npj Quantum Information. 8(1). 8 indexed citations

14.

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

15.

Kranz, Ludwik, S. K. Gorman, Yu He, et al.. (2020). Exploiting a Single‐Crystal Environment to Minimize the Charge Noise on Qubits in Silicon. Advanced Materials. 32(40). e2003361–e2003361. 53 indexed citations

16.

Kranz, Ludwik, S. K. Gorman, Yu He, et al.. (2020). Quantum Computing: Exploiting a Single‐Crystal Environment to Minimize the Charge Noise on Qubits in Silicon (Adv. Mater. 40/2020). Advanced Materials. 32(40). 3 indexed citations

17.

He, Yu, S. K. Gorman, Daniel Keith, et al.. (2019). A two-qubit gate between phosphorus donor electrons in silicon. Nature. 571(7765). 371–375. 213 indexed citations breakdown →

18.

Keith, Daniel, S. K. Gorman, Ludwik Kranz, et al.. (2019). Benchmarking high fidelity single-shot readout of semiconductor qubits. New Journal of Physics. 21(6). 63011–63011. 31 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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