Ryan V. Mishmash

975 total citations
22 papers, 604 citations indexed

About

Ryan V. Mishmash is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Ryan V. Mishmash has authored 22 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 13 papers in Condensed Matter Physics and 5 papers in Artificial Intelligence. Recurrent topics in Ryan V. Mishmash's work include Quantum many-body systems (10 papers), Physics of Superconductivity and Magnetism (9 papers) and Advanced Condensed Matter Physics (8 papers). Ryan V. Mishmash is often cited by papers focused on Quantum many-body systems (10 papers), Physics of Superconductivity and Magnetism (9 papers) and Advanced Condensed Matter Physics (8 papers). Ryan V. Mishmash collaborates with scholars based in United States, Japan and Switzerland. Ryan V. Mishmash's co-authors include Lincoln D. Carr, Olexei I. Motrunich, James R. Garrison, Matthew P. A. Fisher, Jason Alicea, Matthew S. Block, Samuel Bieri, D. N. Sheng, Cenke Xu and Bela Bauer and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review B.

In The Last Decade

Ryan V. Mishmash

22 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan V. Mishmash United States 15 488 313 107 50 48 22 604
S. L. Sondhi United States 8 402 0.8× 311 1.0× 76 0.7× 27 0.5× 24 0.5× 12 501
Seung‐Sup B. Lee Germany 14 301 0.6× 272 0.9× 78 0.7× 102 2.0× 40 0.8× 30 473
Bin-Bin Chen China 17 410 0.8× 359 1.1× 76 0.7× 91 1.8× 60 1.3× 28 579
S. L. Sondhi United States 10 393 0.8× 387 1.2× 55 0.5× 80 1.6× 49 1.0× 13 546
Philipp T. Dumitrescu United States 12 528 1.1× 287 0.9× 72 0.7× 37 0.7× 42 0.9× 15 613
Claudius Hubig Germany 13 518 1.1× 443 1.4× 53 0.5× 130 2.6× 27 0.6× 18 691
Timon Hilker Germany 9 523 1.1× 227 0.7× 75 0.7× 18 0.4× 27 0.6× 17 585
Annabelle Bohrdt Germany 15 409 0.8× 328 1.0× 93 0.9× 107 2.1× 42 0.9× 64 611
Martin Ganahl Austria 16 588 1.2× 272 0.9× 129 1.2× 13 0.3× 36 0.8× 26 648
Geoffrey Ji United States 7 909 1.9× 550 1.8× 138 1.3× 64 1.3× 53 1.1× 12 1.0k

Countries citing papers authored by Ryan V. Mishmash

Since Specialization
Citations

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

Fields of papers citing papers by Ryan V. Mishmash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan V. Mishmash

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan V. Mishmash. A scholar is included among the top collaborators of Ryan V. Mishmash 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 Ryan V. Mishmash. Ryan V. Mishmash 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.
Mishmash, Ryan V., David Aasen, Christina Knapp, et al.. (2024). Improved Pairwise Measurement-Based Surface Code. Quantum. 8. 1429–1429. 6 indexed citations
2.
Bombín, Héctor, et al.. (2023). Logical Blocks for Fault-Tolerant Topological Quantum Computation. PRX Quantum. 4(2). 38 indexed citations
3.
Layden, David, Guglielmo Mazzola, Ryan V. Mishmash, et al.. (2023). Quantum-enhanced Markov chain Monte Carlo. Nature. 619(7969). 282–287. 39 indexed citations
4.
Mishmash, Ryan V., Tanvi P. Gujarati, Mário Motta, et al.. (2023). Hierarchical Clifford Transformations to Reduce Entanglement in Quantum Chemistry Wave Functions. Journal of Chemical Theory and Computation. 19(11). 3194–3208. 14 indexed citations
5.
Mishmash, Ryan V., Bela Bauer, Felix von Oppen, & Jason Alicea. (2020). Dephasing and leakage dynamics of noisy Majorana-based qubits: Topological versus Andreev. Physical review. B.. 101(7). 30 indexed citations
6.
Mishmash, Ryan V., Ali Yazdani, & Michael P. Zaletel. (2019). Majorana lattices from the quantized Hall limit of a proximitized spin-orbit coupled electron gas. Physical review. B.. 99(11). 6 indexed citations
7.
Bauer, Bela, et al.. (2018). Signatures of gapless fermionic spinons on a strip of the kagome Heisenberg antiferromagnet. Physical review. B.. 98(5). 3 indexed citations
8.
Garrison, James R., Ryan V. Mishmash, & Matthew P. A. Fisher. (2017). Partial breakdown of quantum thermalization in a Hubbard-like model. Physical review. B.. 95(5). 23 indexed citations
9.
Mishmash, Ryan V. & Olexei I. Motrunich. (2016). Entanglement entropy of composite Fermi liquid states on the lattice: In support of the Widom formula. Physical review. B.. 94(8). 11 indexed citations
10.
Ware, Brayden, Jun Ho Son, Meng Cheng, et al.. (2016). Ising anyons in frustration-free Majorana-dimer models. Physical review. B.. 94(11). 27 indexed citations
11.
Mishmash, Ryan V., David Aasen, Andrew Higginbotham, & Jason Alicea. (2016). Approaching a topological phase transition in Majorana nanowires. Physical review. B.. 93(24). 40 indexed citations
12.
Mishmash, Ryan V., Iván González, Roger G. Melko, Olexei I. Motrunich, & Matthew P. A. Fisher. (2015). Continuous Mott transition between a metal and a quantum spin liquid. Physical Review B. 91(23). 28 indexed citations
13.
Mishmash, Ryan V., James R. Garrison, Samuel Bieri, & Cenke Xu. (2013). Theory of a Competitive Spin Liquid State for Weak Mott Insulators on the Triangular Lattice. Physical Review Letters. 111(15). 157203–157203. 73 indexed citations
14.
Jiang, Hong‐Chen, Matthew S. Block, Ryan V. Mishmash, et al.. (2012). Non-Fermi-liquid d-wave metal phase of strongly interacting electrons. Nature. 493(7430). 39–44. 54 indexed citations
15.
Mishmash, Ryan V., Matthew S. Block, Ribhu K. Kaul, et al.. (2011). Bose metals and insulators on multileg ladders with ring exchange. Physical Review B. 84(24). 31 indexed citations
16.
Block, Matthew S., Ryan V. Mishmash, Ribhu K. Kaul, et al.. (2011). Exotic Gapless Mott Insulators of Bosons on Multileg Ladders. Physical Review Letters. 106(4). 46402–46402. 31 indexed citations
17.
Mishmash, Ryan V. & Lincoln D. Carr. (2010). Mishmash and Carr Reply:. Physical Review Letters. 105(1). 11 indexed citations
18.
Mishmash, Ryan V. & Lincoln D. Carr. (2009). Quantum Entangled Dark Solitons Formed by Ultracold Atoms in Optical Lattices. Physical Review Letters. 103(14). 140403–140403. 58 indexed citations
19.
Mishmash, Ryan V., Ippei Danshita, Charles W. Clark, & Lincoln D. Carr. (2009). Quantum many-body dynamics of dark solitons in optical lattices. Physical Review A. 80(5). 41 indexed citations
20.
Mishmash, Ryan V. & Lincoln D. Carr. (2009). Ultracold atoms in 1D optical lattices: mean field, quantum field, computation, and soliton formation. Mathematics and Computers in Simulation. 80(4). 732–740. 6 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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