Max Hays
Impact in
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
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- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
Papers in
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- Quantum and electron transport phenomena 9
- Topological Materials and Phenomena 4
- Quantum many-body systems 2
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- Quantum Information and Cryptography 10
- Quantum Computing Algorithms and Architecture 4
- Co-authors
- Kyle Serniak (12 shared papers)G. de Lange (2 shared papers)Luigi Frunzio (2 shared papers)Michel Devoret (2 shared papers)Manuel Houzet (1 shared paper)Shyam Shankar (1 shared paper)Luke Burkhart (1 shared paper)David J. van Woerkom (1 shared paper)
- Journals
- PRX Quantum (3 papers)Nature (2 papers)Physical Review Letters (2 papers)Nature Physics (2 papers)Physical Review X (1 paper)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Max Hays
13 papers receiving 418 citations
Peers
Comparison fields: 5 of 16
- Condensed Matter Physics 128
- Atomic and Molecular Physics, and Optics 340
- Artificial Intelligence 187
- Astronomy and Astrophysics 27
- Statistical and Nonlinear Physics 13
Countries citing papers authored by Max Hays
This map shows the geographic impact of Max Hays'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 Max Hays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Hays more than expected).
Fields of papers citing papers by Max Hays
This network shows the impact of papers produced by Max Hays. 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 Max Hays. The network helps show where Max Hays may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Hays, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2018 | 115 | |
| 3 | 2023 | 74 | |
| 4 | 2022 | 26 | |
| 5 | 2025 | 17 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 14 | |
| 8 | 2021 | 11 | |
| 9 | 2024 | 9 | |
| 10 | 2025 | 7 | |
| 11 | 2025 | 6 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 |
About Max Hays
Max Hays is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Astronomy and Astrophysics, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 14 papers that have together received 421 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum and electron transport phenomena (9 papers), Quantum Computing Algorithms and Architecture (4 papers), Topological Materials and Phenomena (4 papers), Quantum many-body systems (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Superconducting and THz Device Technology (1 paper) and Diamond and Carbon-based Materials Research (1 paper). The work is most often cited by research in Condensed Matter Physics (128 citations), Atomic and Molecular Physics, and Optics (340 citations), Artificial Intelligence (187 citations), Astronomy and Astrophysics (27 citations) and Statistical and Nonlinear Physics (13 citations). Max Hays has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Kyle Serniak, G. de Lange, Luigi Frunzio, Michel Devoret, Manuel Houzet, Shyam Shankar, Luke Burkhart, David J. van Woerkom, Jesper Nygård and Daniël Bouman. Their work appears in journals such as PRX Quantum, Nature, Physical Review Letters, Nature Physics and Physical Review X.
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.