Ryan V. Mishmash

64 total papers · 965 total citations
22 papers, 597 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 597 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, Switzerland and Israel. Ryan V. Mishmash's co-authors include Lincoln D. Carr, Olexei I. Motrunich, James R. Garrison, Matthew P. A. Fisher, Jason Alicea, Cenke Xu, Samuel Bieri, D. N. Sheng, Matthew S. Block 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 586 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ryan V. Mishmash 480 312 99 50 46 22 597
S. L. Sondhi 402 0.8× 311 1.0× 76 0.8× 27 0.5× 24 0.5× 12 500
Bin-Bin Chen 405 0.8× 355 1.1× 76 0.8× 91 1.8× 60 1.3× 28 570
S. L. Sondhi 393 0.8× 388 1.2× 55 0.6× 79 1.6× 48 1.0× 13 544
Philipp T. Dumitrescu 527 1.1× 288 0.9× 71 0.7× 37 0.7× 42 0.9× 15 612
Claudius Hubig 508 1.1× 437 1.4× 53 0.5× 128 2.6× 26 0.6× 18 679
Timon Hilker 513 1.1× 224 0.7× 75 0.8× 18 0.4× 26 0.6× 16 575
Martin Ganahl 581 1.2× 270 0.9× 124 1.3× 12 0.2× 34 0.7× 26 640
Huan He 470 1.0× 265 0.8× 90 0.9× 28 0.6× 40 0.9× 28 541
Armin Rahmani 546 1.1× 283 0.9× 127 1.3× 15 0.3× 52 1.1× 28 592
Márton Kanász-Nagy 562 1.2× 352 1.1× 85 0.9× 47 0.9× 40 0.9× 11 650

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

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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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