Michael S. Allman

3.3k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Michael S. Allman is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Michael S. Allman has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 16 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Michael S. Allman's work include Quantum Information and Cryptography (16 papers), Quantum and electron transport phenomena (7 papers) and Quantum Mechanics and Applications (6 papers). Michael S. Allman is often cited by papers focused on Quantum Information and Cryptography (16 papers), Quantum and electron transport phenomena (7 papers) and Quantum Mechanics and Applications (6 papers). Michael S. Allman collaborates with scholars based in United States, United Kingdom and Australia. Michael S. Allman's co-authors include R. W. Simmonds, Katarina Cicak, Jed D. Whittaker, Adam Sirois, John Teufel, Dale Li, Joshua Strong, Varun B. Verma, Sae Woo Nam and Fabio Altomare and has published in prestigious journals such as Nature, Physical Review Letters and Applied Physics Letters.

In The Last Decade

Michael S. Allman

29 papers receiving 1.2k citations

Hit Papers

Circuit cavity electromechanics in the strong-coupling re... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Allman United States 14 1.0k 617 565 82 50 31 1.3k
Jason S. Pelc United States 21 1.6k 1.5× 817 1.3× 958 1.7× 70 0.9× 133 2.7× 60 1.9k
Mathieu Carras France 23 847 0.8× 1.4k 2.2× 62 0.1× 152 1.9× 22 0.4× 117 1.8k
X. Marcadet France 23 1.0k 1.0× 1.3k 2.1× 64 0.1× 134 1.6× 29 0.6× 120 1.7k
Haibin Wu China 20 1.2k 1.2× 212 0.3× 291 0.5× 52 0.6× 4 0.1× 68 1.3k
Yifan Zhao China 18 899 0.9× 613 1.0× 55 0.1× 335 4.1× 25 0.5× 50 1.2k
Jietai Jing China 26 2.9k 2.8× 516 0.8× 2.4k 4.2× 138 1.7× 10 0.2× 112 3.1k
Zhedong Zhang China 14 473 0.5× 148 0.2× 195 0.3× 70 0.9× 4 0.1× 42 747
Laura C. Sinclair United States 22 1.6k 1.5× 868 1.4× 47 0.1× 101 1.2× 89 1.8× 62 1.8k
Е. Е. Михайлов United States 16 1.1k 1.0× 128 0.2× 342 0.6× 24 0.3× 8 0.2× 64 1.2k

Countries citing papers authored by Michael S. Allman

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Allman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Allman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Allman. A scholar is included among the top collaborators of Michael S. Allman 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 S. Allman. Michael S. Allman 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.
Brown, Natalie C., Ciarán Ryan-Anderson, Dominic Lucchetti, et al.. (2022). Quantum/classical hybrid compute and applications. QM4A.7–QM4A.7. 1 indexed citations
2.
Novotny, David R., et al.. (2018). The New Large Antenna Positioning System for Over-The-Air Testing at the National Institute of Standards and Technology. 38 (5 pp.)–38 (5 pp.). 4 indexed citations
4.
Lum, Daniel J., John C. Howell, Michael S. Allman, et al.. (2016). Quantum enigma machine: Experimentally demonstrating quantum data locking. Physical review. A. 94(2). 33 indexed citations
5.
Lum, Daniel J., Michael S. Allman, Thomas Gerrits, et al.. (2016). A Quantum Enigma Machine: Experimentally Demonstrating Quantum Data Locking. Nature. 2 indexed citations
6.
Islam, Nurul T., Clinton Cahall, Andrés Aragoneses, et al.. (2016). Enhancing the secure key rate in a quantum-key-distribution system using discrete-variable, high-dimensional, time-frequency states. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9996. 99960C–99960C. 1 indexed citations
7.
Allman, Michael S., Varun B. Verma, Martin J. Stevens, et al.. (2015). A near-infrared 64-pixel superconducting nanowire single photon detector array with integrated multiplexed readout. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9504. 950402–950402. 3 indexed citations
8.
Allman, Michael S., Varun B. Verma, Martin J. Stevens, et al.. (2015). A near-infrared 64-pixel superconducting nanowire single photon detector array with integrated multiplexed readout. Applied Physics Letters. 106(19). 92 indexed citations
9.
Allman, Michael S., Varun B. Verma, Francesco Marsili, et al.. (2014). Progress towards a near IR single-photon superconducting nanowire camera for free-space imaging of light. 79. AW3P.3–AW3P.3. 3 indexed citations
10.
Lee, Catherine, Zheshen Zhang, Jacob Mower, et al.. (2014). High-dimensional time-energy entanglement-based quantum key distribution using dispersive optics. 87. FM4A.3–FM4A.3. 1 indexed citations
11.
Whittaker, Jed D., Michael S. Allman, Florent Lecocq, et al.. (2014). Tunable-cavity QED with phase qubits. Physical Review B. 90(2). 24 indexed citations
12.
Beyer, Andrew D., Sae Woo Nam, William H. Farr, et al.. (2014). Tungsten Silicide Superconducting Nanowire Single-Photon Test Structures Fabricated Using Optical Lithography. IEEE Transactions on Applied Superconductivity. 25(3). 1–5. 8 indexed citations
13.
Allman, Michael S., Jed D. Whittaker, Manuel Castellanos-Beltran, et al.. (2014). Tunable Resonant and Nonresonant Interactions between a Phase Qubit andLCResonator. Physical Review Letters. 112(12). 48 indexed citations
14.
Allman, Michael S., Volker Betz, & Martin Hairer. (2011). A chain of interacting particles under strain. Stochastic Processes and their Applications. 121(9). 2014–2042. 5 indexed citations
15.
Teufel, John, Dale Li, Michael S. Allman, et al.. (2011). Circuit cavity electromechanics in the strong-coupling regime. Nature. 471(7337). 204–208. 630 indexed citations breakdown →
16.
Allman, Michael S., Fabio Altomare, Jed D. Whittaker, et al.. (2010). rf-SQUID-Mediated Coherent Tunable Coupling between a Superconducting Phase Qubit and a Lumped-Element Resonator. Physical Review Letters. 104(17). 177004–177004. 65 indexed citations
17.
Altomare, Fabio, Jiyong Park, Katarina Cicak, et al.. (2010). Tripartite interactions between two phase qubits and a resonant cavity. Nature Physics. 6(10). 777–781. 30 indexed citations
18.
Cicak, Katarina, Dale Li, Joshua Strong, et al.. (2010). Low-loss superconducting resonant circuits using vacuum-gap-based microwave components. Applied Physics Letters. 96(9). 46 indexed citations
19.
Tian, Lin, Michael S. Allman, & R. W. Simmonds. (2008). Parametric coupling between macroscopic quantum resonators. New Journal of Physics. 10(11). 115001–115001. 54 indexed citations
20.
Allman, Michael S., et al.. (1972). Geological laboratory techniques. 54 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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