Colm A. Ryan

5.0k total citations
40 papers, 2.7k citations indexed

About

Colm A. Ryan is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Colm A. Ryan has authored 40 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atomic and Molecular Physics, and Optics, 25 papers in Artificial Intelligence and 8 papers in Spectroscopy. Recurrent topics in Colm A. Ryan's work include Quantum Computing Algorithms and Architecture (24 papers), Quantum Information and Cryptography (23 papers) and Quantum and electron transport phenomena (12 papers). Colm A. Ryan is often cited by papers focused on Quantum Computing Algorithms and Architecture (24 papers), Quantum Information and Cryptography (23 papers) and Quantum and electron transport phenomena (12 papers). Colm A. Ryan collaborates with scholars based in United States, Canada and Australia. Colm A. Ryan's co-authors include Raymond Laflamme, David G. Cory, Blake Johnson, Martin Laforest, Osama Moussa, J. S. Hodges, Jonathan Baugh, Jay Gambetta, Marcus P. da Silva and Matthias Steffen and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Colm A. Ryan

38 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colm A. Ryan United States 27 1.9k 1.9k 338 243 202 40 2.7k
Roee Ozeri Israel 38 3.9k 2.0× 5.5k 2.9× 359 1.1× 201 0.8× 129 0.6× 106 6.2k
Norbert M. Linke United States 26 2.9k 1.5× 2.8k 1.5× 310 0.9× 146 0.6× 285 1.4× 63 3.8k
Paul D. Nation United States 11 2.6k 1.3× 3.2k 1.7× 550 1.6× 122 0.5× 136 0.7× 18 3.9k
Sophia E. Economou United States 29 2.1k 1.1× 2.4k 1.3× 763 2.3× 515 2.1× 226 1.1× 109 3.4k
Diego Ristè United States 16 1.2k 0.6× 1.6k 0.9× 222 0.7× 477 2.0× 60 0.3× 21 2.0k
Gavin K. Brennen Australia 26 1.5k 0.8× 2.6k 1.4× 133 0.4× 91 0.4× 168 0.8× 78 3.0k
C. Langer United States 24 4.7k 2.4× 5.0k 2.7× 377 1.1× 168 0.7× 130 0.6× 40 5.8k
Edwin Barnes United States 26 1.1k 0.6× 1.7k 0.9× 441 1.3× 263 1.1× 74 0.4× 103 2.1k
Fernando Pastawski Germany 16 819 0.4× 1.0k 0.6× 212 0.6× 390 1.6× 87 0.4× 22 1.6k
John Chiaverini United States 28 3.5k 1.8× 4.2k 2.3× 607 1.8× 167 0.7× 72 0.4× 75 5.0k

Countries citing papers authored by Colm A. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Colm A. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colm A. Ryan. 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 Colm A. Ryan. The network helps show where Colm A. Ryan may publish in the future.

Co-authorship network of co-authors of Colm A. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Colm A. Ryan. A scholar is included among the top collaborators of Colm A. Ryan 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 Colm A. Ryan. Colm A. Ryan 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.
Rowlands, Graham E., et al.. (2019). A cryogenic spin-torque memory element with precessional magnetization dynamics. Scientific Reports. 9(1). 803–803. 24 indexed citations
2.
Ware, Matthew, Guilhem Ribeill, Diego Ristè, et al.. (2018). Experimental demonstration of Pauli-frame randomization on a superconducting qubit. arXiv (Cornell University). 29 indexed citations
3.
Johnson, Blake, et al.. (2017). First quantum computers need smart software. Nature. 549(7671). 149–151. 14 indexed citations
4.
Soltani, Mohammad, Mian Zhang, Colm A. Ryan, et al.. (2017). Efficient quantum microwave-to-optical conversion using electro-optic nanophotonic coupled resonators. Physical review. A. 96(4). 48 indexed citations
5.
Chow, Jerry M., Jay Gambetta, Easwar Magesan, et al.. (2014). Implementing a strand of a scalable fault-tolerant quantum computing fabric. Nature Communications. 5(1). 4015–4015. 191 indexed citations
6.
Gambetta, Jay, Antonio Córcoles, Seth Merkel, et al.. (2012). Characterization of Addressability by Simultaneous Randomized Benchmarking. Physical Review Letters. 109(24). 240504–240504. 149 indexed citations
7.
Moussa, Osama, Marcus P. da Silva, Colm A. Ryan, & Raymond Laflamme. (2012). Practical Experimental Certification of Computational Quantum Gates Using a Twirling Procedure. Physical Review Letters. 109(7). 70504–70504. 27 indexed citations
8.
Magesan, Easwar, Jay Gambetta, Blake Johnson, et al.. (2012). Efficient Measurement of Quantum Gate Error by Interleaved Randomized Benchmarking. Physical Review Letters. 109(8). 80505–80505. 243 indexed citations
9.
Souza, Alexandre M., Jingfu Zhang, Colm A. Ryan, & Raymond Laflamme. (2011). Experimental magic state distillation for fault-tolerant quantum computing. Nature Communications. 2(1). 169–169. 35 indexed citations
10.
Ryan, Colm A., J. S. Hodges, & David G. Cory. (2010). Robust Decoupling Techniques to Extend Quantum Coherence in Diamond. Physical Review Letters. 105(20). 200402–200402. 261 indexed citations
11.
Moussa, Osama, Colm A. Ryan, David G. Cory, & Raymond Laflamme. (2010). Testing Contextuality on Quantum Ensembles with One Clean Qubit. Physical Review Letters. 104(16). 160501–160501. 87 indexed citations
12.
Kribs, David W., et al.. (2009). Research problems on numerical ranges in quantum computing. Linear and Multilinear Algebra. 57(5). 491–502. 12 indexed citations
13.
Passante, Gina, Osama Moussa, Colm A. Ryan, & Raymond Laflamme. (2009). Experimental Approximation of the Jones Polynomial with One Quantum Bit. Physical Review Letters. 103(25). 250501–250501. 23 indexed citations
14.
Ryan, Colm A., Osama Moussa, Jonathan Baugh, & Raymond Laflamme. (2008). Spin Based Heat Engine: Demonstration of Multiple Rounds of Algorithmic Cooling. Physical Review Letters. 100(14). 140501–140501. 54 indexed citations
15.
Ryan, Colm A., Osama Moussa, Jonathan Baugh, & Raymond Laflamme. (2007). A spin based heat engine: multiple rounds of algorithmic cooling. arXiv (Cornell University).
16.
Cho, HyungJoon, Jonathan Baugh, Colm A. Ryan, David G. Cory, & Chandrasekhar Ramanathan. (2007). Low temperature probe for dynamic nuclear polarization and multiple-pulse solid-state NMR. Journal of Magnetic Resonance. 187(2). 242–250. 16 indexed citations
17.
Ramanathan, Chandrasekhar, J. S. Hodges, Colm A. Ryan, et al.. (2007). Fidelity Enhancement by Logical Qubit Encoding. Physical Review Letters. 99(22). 220501–220501. 13 indexed citations
18.
Ryan, Colm A., Martin Laforest, Jean-Christian Boileau, & Raymond Laflamme. (2005). Experimental implementation of a discrete-time quantum random walk on an NMR quantum-information processor. Physical Review A. 72(6). 191 indexed citations
19.
Ryan, Colm A., Joseph Emerson, David Poulin, C. Negrevergne, & Raymond Laflamme. (2005). Characterization of Complex Quantum Dynamics with a Scalable NMR Information Processor. Physical Review Letters. 95(25). 250502–250502. 33 indexed citations
20.
Taylor, David, et al.. (1999). Compression data on bovine bone confirms that a “stressed volume” principle explains the variability of fatigue strength results. Journal of Biomechanics. 32(11). 1199–1203. 47 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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