Michael Hush

1.1k total citations
38 papers, 622 citations indexed

About

Michael Hush is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael Hush has authored 38 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atomic and Molecular Physics, and Optics, 27 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael Hush's work include Quantum Information and Cryptography (26 papers), Cold Atom Physics and Bose-Einstein Condensates (16 papers) and Quantum optics and atomic interactions (12 papers). Michael Hush is often cited by papers focused on Quantum Information and Cryptography (26 papers), Cold Atom Physics and Bose-Einstein Condensates (16 papers) and Quantum optics and atomic interactions (12 papers). Michael Hush collaborates with scholars based in Australia, United Kingdom and United States. Michael Hush's co-authors include A. R. R. Carvalho, Igor Lesanovsky, J. J. Hope, Stuart S. Szigeti, Weibin Li, A. D. Armour, Sam Genway, Matthew J. Sellars, Rose L. Ahlefeldt and Michael J. Biercuk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Michael Hush

37 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Hush Australia 16 533 384 84 62 44 38 622
J. A. Roversi Brazil 16 531 1.0× 414 1.1× 115 1.4× 142 2.3× 130 3.0× 45 674
Alberto Biella France 15 1.1k 2.0× 493 1.3× 312 3.7× 40 0.6× 36 0.8× 30 1.1k
Jani Tuorila Finland 13 785 1.5× 469 1.2× 93 1.1× 17 0.3× 215 4.9× 24 821
Da Xu China 13 884 1.7× 658 1.7× 95 1.1× 7 0.1× 102 2.3× 22 1.0k
Carlos Navarrete–Benlloch Germany 15 618 1.2× 492 1.3× 52 0.6× 24 0.4× 108 2.5× 34 673
Caspar Ockeloen-Korppi Finland 13 980 1.8× 464 1.2× 73 0.9× 18 0.3× 444 10.1× 18 1.0k
Raul A. Santos Mexico 13 284 0.5× 124 0.3× 51 0.6× 102 1.6× 105 2.4× 46 451
A. R. R. Carvalho Australia 21 1.5k 2.8× 1.4k 3.7× 238 2.8× 19 0.3× 45 1.0× 51 1.6k
M. A. M. Marte Austria 15 771 1.4× 437 1.1× 108 1.3× 36 0.6× 130 3.0× 30 801
R. Roknizadeh Iran 15 511 1.0× 315 0.8× 88 1.0× 25 0.4× 102 2.3× 41 537

Countries citing papers authored by Michael Hush

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hush

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hush. A scholar is included among the top collaborators of Michael Hush 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 Michael Hush. Michael Hush 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.
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Stace, Thomas M., et al.. (2024). Optimized Bayesian system identification in quantum devices. Physical Review Applied. 21(1). 4 indexed citations
3.
Light, P. S., Stuart S. Szigeti, Alexander Rischka, et al.. (2023). Enhancing the sensitivity of atom-interferometric inertial sensors using robust control. Nature Communications. 14(1). 7626–7626. 22 indexed citations
4.
5.
Hempel, Cornelius, et al.. (2021). Quantum Oscillator Noise Spectroscopy via Displaced Cat States. Physical Review Letters. 126(25). 250506–250506. 21 indexed citations
6.
Buchler, B. C., Young‐Wook Cho, Michael Hush, et al.. (2018). Stopped and stationary light with cold atomic ensembles and machine learning.. Conference on Lasers and Electro-Optics. FM1G.5–FM1G.5. 1 indexed citations
7.
Henson, B. M., et al.. (2018). Approaching the adiabatic timescale with machine learning. Proceedings of the National Academy of Sciences. 115(52). 13216–13221. 21 indexed citations
8.
Hardman, Kyle S., et al.. (2018). Quantum tunneling dynamics of an interacting Bose-Einstein condensate through a Gaussian barrier. Physical review. A. 98(5). 13 indexed citations
9.
Ahlefeldt, Rose L., Michael Hush, & Matthew J. Sellars. (2016). Ultranarrow Optical Inhomogeneous Linewidth in a Stoichiometric Rare-Earth Crystal. Physical Review Letters. 117(25). 250504–250504. 43 indexed citations
10.
Fu, Shuangshuang, A. R. R. Carvalho, Michael Hush, & M. R. James. (2016). Cross-phase modulation and entanglement in a compound gradient echo memory. Physical review. A. 93(2). 5 indexed citations
11.
Xue, Shibei, Michael Hush, & Ian R. Petersen. (2016). Feedback Tracking Control of Non-Markovian Quantum Systems. IEEE Transactions on Control Systems Technology. 25(5). 1552–1563. 15 indexed citations
12.
Stevenson, Rebecca, Michael Hush, Thomas C. Bishop, Igor Lesanovsky, & T. Fernholz. (2015). Sagnac Interferometry with a Single Atomic Clock. Physical Review Letters. 115(16). 163001–163001. 39 indexed citations
13.
Hush, Michael, Igor Lesanovsky, & Juan P. Garrahan. (2015). Generic map from non-Lindblad to Lindblad master equations. Physical Review A. 91(3). 15 indexed citations
14.
Szigeti, Stuart S., et al.. (2014). Ignorance Is Bliss: General and Robust Cancellation of Decoherence via No-Knowledge Quantum Feedback. Physical Review Letters. 113(2). 20407–20407. 21 indexed citations
15.
Hush, Michael, Stuart S. Szigeti, A. R. R. Carvalho, & J. J. Hope. (2013). Controlling spontaneous-emission noise in measurement-based feedback cooling of a Bose–Einstein condensate. New Journal of Physics. 15(11). 113060–113060. 32 indexed citations
16.
Hush, Michael, A. R. R. Carvalho, & J. J. Hope. (2012). Number-phase Wigner representation for scalable stochastic simulations of controlled quantum systems. Physical Review A. 85(2). 7 indexed citations
17.
Carvalho, A. R. R., Michael Hush, & M. R. James. (2012). Cavity driven by a single photon: Conditional dynamics and nonlinear phase shift. Physical Review A. 86(2). 11 indexed citations
18.
Hush, Michael, Stuart S. Szigeti, A. R. R. Carvalho, & J. J. Hope. (2011). Number-phase Wigner representation for scalable stochastic simulations of controlled quantum systems. ANU Open Research (Australian National University). 82. 728–730. 2 indexed citations
19.
Hush, Michael, A. R. R. Carvalho, & J. J. Hope. (2010). Number-phase Wigner representation for efficient stochastic simulations. Physical Review A. 81(3). 12 indexed citations
20.
Szigeti, Stuart S., Michael Hush, A. R. R. Carvalho, & J. J. Hope. (2010). Feedback control of an interacting Bose-Einstein condensate using phase-contrast imaging. Physical Review A. 82(4). 28 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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