Daniel K. Mark
Impact in
- Computational Mathematics top 10%
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- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum and electron transport phenomena
- Quantum, superfluid, helium dynamics
Papers in
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- Quantum many-body systems 9
- Cold Atom Physics and Bose-Einstein Condensates 3
- Quantum and electron transport phenomena 2
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- Quantum Computing Algorithms and Architecture 4
- Quantum Information and Cryptography 3
- Co-authors
- Olexei I. Motrunich (3 shared papers)Cheng-Ju Lin (2 shared papers)Soonwon Choi (7 shared papers)Joonhee Choi (4 shared papers)Adam L. Shaw (4 shared papers)Manuel Endres (4 shared papers)Oskar Painter (1 shared paper)Eunjong Kim (1 shared paper)
- Journals
- Physical review. B. (3 papers)Physical Review Letters (2 papers)Nature (2 papers)Physical Review X (1 paper)Science (1 paper)
- Partner nations
- United StatesAustriaSingapore
In The Last Decade
Daniel K. Mark
9 papers receiving 471 citations
Daniel K. Mark's Hit Papers
Peers
Comparison fields: 5 of 32
- Computational Mathematics 12
- Atomic and Molecular Physics, and Optics 413
- Condensed Matter Physics 79
- Statistical and Nonlinear Physics 85
- Artificial Intelligence 186
Countries citing papers authored by Daniel K. Mark
This map shows the geographic impact of Daniel K. Mark'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 Daniel K. Mark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Mark more than expected).
Fields of papers citing papers by Daniel K. Mark
This network shows the impact of papers produced by Daniel K. Mark. 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 Daniel K. Mark. The network helps show where Daniel K. Mark may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel K. Mark, 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 | 2020 | 124 | |
| 2 | Preparing random states and benchmarking with many-body quantum chaos Hit paper breakdown → | 2023 | 99 |
| 3 | 2020 | 85 | |
| 4 | 2023 | 63 | |
| 5 | 2024 | 27 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 22 | |
| 9 | Emergent Randomness and Benchmarking from Many-Body Quantum Chaos | 2021 | 6 |
| 10 | 2025 | 0 |
About Daniel K. Mark
Daniel K. Mark is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Statistical and Nonlinear Physics and Spectroscopy, having authored 10 papers that have together received 474 indexed citations. Recurring topics across this work include Quantum many-body systems (9 papers), Quantum Computing Algorithms and Architecture (4 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Quantum Information and Cryptography (3 papers), Physics of Superconductivity and Magnetism (2 papers), Quantum and electron transport phenomena (2 papers), Advanced Condensed Matter Physics (1 paper) and Theoretical and Computational Physics (1 paper). The work is most often cited by research in Computational Mathematics (12 citations), Atomic and Molecular Physics, and Optics (413 citations), Condensed Matter Physics (79 citations), Statistical and Nonlinear Physics (85 citations) and Artificial Intelligence (186 citations). Daniel K. Mark has collaborated with scholars based in United States, Austria and Singapore. Frequent co-authors include Olexei I. Motrunich, Cheng-Ju Lin, Soonwon Choi, Joonhee Choi, Adam L. Shaw, Manuel Endres, Oskar Painter, Eunjong Kim, Xueyue Zhang and Ran Finkelstein. Their work appears in journals such as Physical review. B., Physical Review Letters, Nature, Physical Review X and Science.
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.