John M. Nichol

2.0k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

John M. Nichol is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, John M. Nichol has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atomic and Molecular Physics, and Optics, 14 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in John M. Nichol's work include Quantum and electron transport phenomena (23 papers), Semiconductor Quantum Structures and Devices (10 papers) and Quantum Computing Algorithms and Architecture (9 papers). John M. Nichol is often cited by papers focused on Quantum and electron transport phenomena (23 papers), Semiconductor Quantum Structures and Devices (10 papers) and Quantum Computing Algorithms and Architecture (9 papers). John M. Nichol collaborates with scholars based in United States, Israel and Australia. John M. Nichol's co-authors include Guido Burkard, J. R. Petta, Thaddeus D. Ladd, Andrew Pan, Elliot J. Connors, JJ Nelson, Haifeng Qiao, Eric R. Hemesath, Lincoln J. Lauhon and Raffi Budakian and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

John M. Nichol

36 papers receiving 1.2k 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.

Semiconductor spin qubits

2023 312 citations Guido Burkard, Thaddeus D. Ladd et al. Reviews of Modern Physics profile →

Peers

John M. Nichol

AMPO

AI

EEE

MC

CMP

Rachpon Kalra Australia

M. Fernando González-Zalba United Kingdom

Karan K. Mehta United States

Paolo Bordone Italy

Stefan Putz Austria

Hannes Hübel Austria

André Saraiva Australia

Audrey Bienfait France

Emmanuel Flurin France

Matthieu R. Delbecq France

Rachpon Kalra Australia

John M. Nichol

871 ×0.9

AMPO

442 ×0.9

AI

487 ×1.0

EEE

144 ×1.2

MC

48 ×0.8

CMP

Citations per year, relative to John M. Nichol John M. Nichol (= 1×) peers Rachpon Kalra

Countries citing papers authored by John M. Nichol

Since Specialization

Citations

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

Fields of papers citing papers by John M. Nichol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Nichol. 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 John M. Nichol. The network helps show where John M. Nichol may publish in the future.

Co-authorship network of co-authors of John M. Nichol

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Nichol, John M., et al.. (2025). The formation of a nuclear-spin dark state in silicon. Nature Physics. 21(4). 536–541. 1 indexed citations

2.

Nichol, John M., et al.. (2024). Coherent optical coupling to surface acoustic wave devices. Nature Communications. 15(1). 3993–3993. 6 indexed citations

3.

Ye, Feiyang, et al.. (2024). Characterization of individual charge fluctuators in Si/SiGe quantum dots. Physical review. B.. 110(23). 5 indexed citations

4.

Burkard, Guido, Thaddeus D. Ladd, Andrew Pan, John M. Nichol, & J. R. Petta. (2023). Semiconductor spin qubits. Reviews of Modern Physics. 95(2). 312 indexed citations breakdown →

5.

Connors, Elliot J., JJ Nelson, L. F. Edge, & John M. Nichol. (2022). Charge-noise spectroscopy of Si/SiGe quantum dots via dynamically-decoupled exchange oscillations. Nature Communications. 13(1). 940–940. 69 indexed citations

6.

Nichol, John M.. (2022). Quantum information processing with semiconductor quantum dots. 167–167.

7.

Qiao, Haifeng, Saeed Fallahi, Geoffrey C. Gardner, et al.. (2021). Long-Distance Superexchange between Semiconductor Quantum-Dot Electron Spins. Physical Review Letters. 126(1). 17701–17701. 25 indexed citations

8.

Qiao, Haifeng, et al.. (2021). Adiabatic quantum state transfer in a semiconductor quantum-dot spin chain. Nature Communications. 12(1). 2156–2156. 41 indexed citations

9.

Dyke, John S. Van, et al.. (2021). Protecting quantum information in quantum dot spin chains by driving exchange interactions periodically. Physical review. B.. 103(24). 11 indexed citations

10.

Qiao, Haifeng, et al.. (2021). Perspective on exchange-coupled quantum-dot spin chains. Applied Physics Letters. 119(3). 13 indexed citations

11.

Connors, Elliot J., JJ Nelson, & John M. Nichol. (2020). Rapid High-Fidelity Spin-State Readout in Si/Si-Ge Quantum Dots via rf Reflectometry. Physical Review Applied. 13(2). 52 indexed citations

12.

Nelson, JJ, Elliot J. Connors, & John M. Nichol. (2020). Rapid high-fidelity spin state readout in Si/SiGe quantum dots via radio-frequency reflectometry. Bulletin of the American Physical Society. 1 indexed citations

13.

Qiao, Haifeng, Saeed Fallahi, Geoffrey C. Gardner, et al.. (2020). Coherent multi-spin exchange in a quantum-dot spin chain. arXiv (Cornell University). 3 indexed citations

14.

Connors, Elliot J., JJ Nelson, Haifeng Qiao, L. F. Edge, & John M. Nichol. (2019). Low-frequency charge noise in Si/SiGe quantum dots. Physical review. B.. 100(16). 96 indexed citations

15.

Qiao, Haifeng, et al.. (2019). Coherent spin-state transfer via Heisenberg exchange. Nature. 573(7775). 553–557. 64 indexed citations

16.

Nichol, John M., Shannon P. Harvey, Michael Shulman, et al.. (2015). Quenching of dynamic nuclear polarization by spin–orbit coupling in GaAs quantum dots. Nature Communications. 6(1). 7682–7682. 56 indexed citations

17.

Shulman, Michael, Shannon P. Harvey, John M. Nichol, et al.. (2014). Suppressing qubit dephasing using real-time Hamiltonian estimation. Nature Communications. 5(1). 5156–5156. 128 indexed citations

18.

Nichol, John M., et al.. (2013). Nanoscale Fourier-transform MRI of spin noise. arXiv (Cornell University). 1 indexed citations

19.

Nichol, John M., et al.. (2013). Nanoscale Fourier-Transform Magnetic Resonance Imaging. Physical Review X. 3(3). 36 indexed citations

20.

Nichol, John M., Eric R. Hemesath, Lincoln J. Lauhon, & Raffi Budakian. (2008). Displacement detection of silicon nanowires by polarization-enhanced fiber-optic interferometry. Applied Physics Letters. 93(19). 62 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.

Explore authors with similar magnitude of impact