Daniel K. Mark

814 total citations · 1 hit paper
10 papers, 462 citations indexed

About

Daniel K. Mark is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Daniel K. Mark has authored 10 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 4 papers in Artificial Intelligence and 3 papers in Condensed Matter Physics. Recurrent topics in Daniel K. Mark's work include Quantum many-body systems (9 papers), Quantum Computing Algorithms and Architecture (4 papers) and Quantum Information and Cryptography (3 papers). Daniel K. Mark is often cited by papers focused on Quantum many-body systems (9 papers), Quantum Computing Algorithms and Architecture (4 papers) and Quantum Information and Cryptography (3 papers). Daniel K. Mark collaborates with scholars based in United States, Austria and Singapore. Daniel K. Mark's co-authors include Olexei I. Motrunich, Cheng-Ju Lin, Soonwon Choi, Adam L. Shaw, Manuel Endres, Joonhee Choi, Eunjong Kim, Oskar Painter, Xueyue Zhang and Ran Finkelstein and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Daniel K. Mark

9 papers receiving 458 citations

Hit Papers

Preparing random states and benchmarking with many-body q... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel K. Mark United States 8 403 180 82 79 39 10 462
Duan-Lu Zhou China 4 281 0.7× 184 1.0× 34 0.4× 60 0.8× 22 0.6× 6 329
Matteo Ippoliti United States 13 566 1.4× 277 1.5× 120 1.5× 131 1.7× 10 0.3× 32 632
Markus Hauru United States 8 220 0.5× 111 0.6× 50 0.6× 77 1.0× 21 0.5× 13 281
Emanuele Tirrito Italy 13 422 1.0× 232 1.3× 93 1.1× 57 0.7× 14 0.4× 27 531
Jacob C. Bridgeman Australia 8 226 0.6× 130 0.7× 58 0.7× 75 0.9× 23 0.6× 10 307
Marek Gluza Germany 10 299 0.7× 138 0.8× 79 1.0× 49 0.6× 11 0.3× 21 340
Tibor Rakovszky United States 13 601 1.5× 262 1.5× 173 2.1× 139 1.8× 27 0.7× 20 663
Anton S. Buyskikh United Kingdom 7 341 0.8× 206 1.1× 67 0.8× 71 0.9× 8 0.2× 12 389
Oliver Buerschaper Germany 13 360 0.9× 116 0.6× 44 0.5× 158 2.0× 65 1.7× 14 409
Federica Maria Surace United States 10 385 1.0× 120 0.7× 124 1.5× 98 1.2× 15 0.4× 19 404

Countries citing papers authored by Daniel K. Mark

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel K. Mark

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Mark. A scholar is included among the top collaborators of Daniel K. Mark 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 Daniel K. Mark. Daniel K. Mark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Mark, Daniel K., et al.. (2025). Efficiently Measuring d-Wave Pairing and Beyond in Quantum Gas Microscopes. Physical Review Letters. 135(12). 123402–123402.
2.
Shaw, Adam L., Joonhee Choi, Daniel K. Mark, et al.. (2024). Benchmarking highly entangled states on a 60-atom analogue quantum simulator. Nature. 628(8006). 71–77. 25 indexed citations
3.
Zhang, Xueyue, Eunjong Kim, Daniel K. Mark, Soonwon Choi, & Oskar Painter. (2023). A superconducting quantum simulator based on a photonic-bandgap metamaterial. Science. 379(6629). 278–283. 63 indexed citations
4.
Mark, Daniel K., Joonhee Choi, Adam L. Shaw, Manuel Endres, & Soonwon Choi. (2023). Benchmarking Quantum Simulators Using Ergodic Quantum Dynamics. Physical Review Letters. 131(11). 23 indexed citations
5.
Choi, Joonhee, Adam L. Shaw, Ivaylo S. Madjarov, et al.. (2023). Preparing random states and benchmarking with many-body quantum chaos. Nature. 613(7944). 468–473. 97 indexed citations breakdown →
6.
Tran, Minh C., Daniel K. Mark, Wen Wei Ho, & Soonwon Choi. (2023). Measuring Arbitrary Physical Properties in Analog Quantum Simulation. Physical Review X. 13(1). 26 indexed citations
7.
Shaw, Adam L., Joonhee Choi, Ivaylo S. Madjarov, et al.. (2021). Emergent Randomness and Benchmarking from Many-Body Quantum Chaos. Bulletin of the American Physical Society. 6 indexed citations
8.
Mark, Daniel K., Cheng-Ju Lin, & Olexei I. Motrunich. (2020). Exact eigenstates in the Lesanovsky model, proximity to integrability and the PXP model, and approximate scar states. Physical review. B.. 101(9). 21 indexed citations
9.
Mark, Daniel K. & Olexei I. Motrunich. (2020). η-pairing states as true scars in an extended Hubbard model. Physical review. B.. 102(7). 82 indexed citations
10.
Mark, Daniel K., Cheng-Ju Lin, & Olexei I. Motrunich. (2020). Unified structure for exact towers of scar states in the Affleck-Kennedy-Lieb-Tasaki and other models. Physical review. B.. 101(19). 119 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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