Maksym Serbyn
- Computational Mathematics top 0.5%
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- Quantum many-body systems 38
- Quantum and electron transport phenomena 25
- Topological Materials and Phenomena 15
- Cold Atom Physics and Bose-Einstein Condensates 14
- Condensed Matter Physics top 0.5%
- Physics of Superconductivity and Magnetism 25
- Advanced Condensed Matter Physics 6
- Statistical and Nonlinear Physics top 0.2%
- Opinion Dynamics and Social Influence 8
- Artificial Intelligence top 1%
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- Graphene research and applications 13
Maksym Serbyn
66 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computational Mathematics 142
- Atomic and Molecular Physics, and Optics 5.5k
- Condensed Matter Physics 2.0k
- Statistical and Nonlinear Physics 2.0k
- Artificial Intelligence 1.1k
Countries citing papers authored by Maksym Serbyn
This map shows the geographic impact of Maksym Serbyn'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 Maksym Serbyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maksym Serbyn more than expected).
Fields of papers citing papers by Maksym Serbyn
This network shows the impact of papers produced by Maksym Serbyn. 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 Maksym Serbyn. The network helps show where Maksym Serbyn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maksym Serbyn, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 50 | |
| 10 | 2021 | 54 | |
| 11 | 2021 | 20 | |
| 12 | 2019 | 94 | |
| 13 | Emergent SU(2) Dynamics and Perfect Quantum Many-Body Scarsbreakdown → | 2019 | 219 |
| 14 | Ergodicity, Entanglement and Many-Body Localization | 2018 | 8 |
| 15 | Weak ergodicity breaking from quantum many-body scarsbreakdown → | 2018 | 613 |
| 16 | 2016 | 78 | |
| 17 | 2016 | 23 | |
| 18 | 2014 | 135 | |
| 19 | Onset of superconductivity in a voltage-biased normal-superconducting-normal microbridge | 2013 | 1 |
| 20 | Universal Slow Growth of Entanglement in Interacting Strongly Disordered Systemsbreakdown → | 2013 | 438 |
About Maksym Serbyn
Maksym Serbyn is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Computational Mathematics, Statistical and Nonlinear Physics and Materials Chemistry, having authored 66 papers that have together received 5.9k indexed citations. Recurring topics across this work include Quantum many-body systems (38 papers), Quantum and electron transport phenomena (25 papers), Physics of Superconductivity and Magnetism (25 papers), Topological Materials and Phenomena (15 papers), Cold Atom Physics and Bose-Einstein Condensates (14 papers), Graphene research and applications (13 papers), Opinion Dynamics and Social Influence (8 papers) and Advanced Condensed Matter Physics (6 papers). The work is most often cited by research in Computational Mathematics (142 citations), Atomic and Molecular Physics, and Optics (5.5k citations), Condensed Matter Physics (2.0k citations), Statistical and Nonlinear Physics (2.0k citations) and Artificial Intelligence (1.1k citations). Maksym Serbyn has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Dmitry A. Abanin, Zlatko Papić, Alexios A. Michailidis, Ehud Altman, Immanuel Bloch, Christopher J. Turner, Joel E. Moore, Liang Fu, Romain Vasseur and Stefan Sack. Their work appears in journals such as Physical review. B., Physical Review Letters, Physical Review B, Physical Review X and Nature Physics.
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.