Bryan K. Clark

2.3k total citations
55 papers, 1.5k citations indexed

About

Bryan K. Clark is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Bryan K. Clark has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atomic and Molecular Physics, and Optics, 18 papers in Condensed Matter Physics and 15 papers in Artificial Intelligence. Recurrent topics in Bryan K. Clark's work include Quantum many-body systems (31 papers), Physics of Superconductivity and Magnetism (15 papers) and Quantum Computing Algorithms and Architecture (11 papers). Bryan K. Clark is often cited by papers focused on Quantum many-body systems (31 papers), Physics of Superconductivity and Magnetism (15 papers) and Quantum Computing Algorithms and Architecture (11 papers). Bryan K. Clark collaborates with scholars based in United States, Switzerland and India. Bryan K. Clark's co-authors include Di Luo, Dave Wecker, Matthew B. Hastings, Matthias Troyer, David Pekker, Eli Chertkov, Bela Bauer, Nathan Wiebe, Chetan Nayak and David J. Luitz and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Bryan K. Clark

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan K. Clark United States 20 1.1k 583 353 198 191 55 1.5k
Christopher Bäuerle France 25 2.0k 1.9× 472 0.8× 696 2.0× 125 0.6× 285 1.5× 92 2.3k
Kenny Choo Switzerland 11 678 0.6× 271 0.5× 211 0.6× 126 0.6× 214 1.1× 19 899
G. Birkl Germany 29 2.5k 2.4× 881 1.5× 84 0.2× 220 1.1× 81 0.4× 82 2.7k
Daniel Barredo France 24 2.7k 2.6× 1.3k 2.2× 268 0.8× 245 1.2× 212 1.1× 37 2.9k
Guglielmo Mazzola Switzerland 20 594 0.6× 453 0.8× 95 0.3× 45 0.2× 158 0.8× 33 947
Pietro Massignan Spain 28 2.8k 2.7× 328 0.6× 822 2.3× 373 1.9× 174 0.9× 60 3.2k
Christof Weitenberg Germany 19 3.3k 3.1× 783 1.3× 682 1.9× 344 1.7× 182 1.0× 38 3.5k
Yi‐Zhuang You United States 33 2.1k 2.0× 605 1.0× 1.3k 3.6× 419 2.1× 256 1.3× 95 3.0k
Yi Yin China 28 2.4k 2.3× 2.0k 3.4× 718 2.0× 84 0.4× 248 1.3× 59 3.3k
Huitao Shen United States 14 1.8k 1.7× 249 0.4× 348 1.0× 754 3.8× 298 1.6× 24 2.1k

Countries citing papers authored by Bryan K. Clark

Since Specialization
Citations

This map shows the geographic impact of Bryan K. Clark'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 Bryan K. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan K. Clark more than expected).

Fields of papers citing papers by Bryan K. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan K. Clark. 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 Bryan K. Clark. The network helps show where Bryan K. Clark may publish in the future.

Co-authorship network of co-authors of Bryan K. Clark

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

All Works

20 of 20 papers shown
1.
Clark, Bryan K., et al.. (2025). Nonequilibrium quantum Monte Carlo algorithm for stabilizer Rényi entropy in spin systems. Physical review. B.. 111(8). 9 indexed citations
2.
Clark, Bryan K., et al.. (2025). Efficient optimization of neural network backflow for a b   i n i t i o quantum chemistry. Physical review. B.. 112(15).
3.
Clark, Bryan K., et al.. (2024). Unifying view of fermionic neural network quantum states: From neural network backflow to hidden fermion determinant states. Physical review. B.. 110(11). 10 indexed citations
4.
Belkin, Daniel, Jonny Allen, Soumik Ghosh, et al.. (2024). Approximate t-Designs in Generic Circuit Architectures. PRX Quantum. 5(4). 4 indexed citations
5.
Smith, Kevin C., et al.. (2024). Constant-Depth Preparation of Matrix Product States with Adaptive Quantum Circuits. PRX Quantum. 5(3). 14 indexed citations
6.
Clark, Bryan K., et al.. (2023). Nearly-frustration-free ground state preparation. Quantum. 7. 1084–1084. 2 indexed citations
7.
Luo, Di, et al.. (2023). Gauge-invariant and anyonic-symmetric autoregressive neural network for quantum lattice models. Physical Review Research. 5(1). 31 indexed citations
8.
Khan, Abid, Chia‐Hao Lee, Pinshane Y. Huang, & Bryan K. Clark. (2023). Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images. npj Computational Materials. 9(1). 31 indexed citations
9.
Villalonga, Benjamin, et al.. (2022). Unitary block optimization for variational quantum algorithms. Physical Review Research. 4(2). 16 indexed citations
10.
Chertkov, Eli, Benjamin Villalonga, & Bryan K. Clark. (2021). Numerical Evidence for Many-Body Localization in Two and Three Dimensions. Physical Review Letters. 126(18). 180602–180602. 18 indexed citations
11.
Lee, Chia‐Hao, Di Luo, Chuqiao Shi, et al.. (2021). Probing the Strain Fields of Single-Atom Defects in 2D materials with Sub-Picometer Precision. Microscopy and Microanalysis. 27(S1). 1944–1944. 2 indexed citations
12.
Chertkov, Eli & Bryan K. Clark. (2021). Motif magnetism and quantum many-body scars. Physical review. B.. 104(10). 16 indexed citations
13.
Kochkov, Dmitrii & Bryan K. Clark. (2019). Variational optimization in the AI era: supervised wave-function optimization and computational graph states.. Bulletin of the American Physical Society. 2019.
14.
Luo, Di & Bryan K. Clark. (2019). Backflow Transformations via Neural Networks for Quantum Many-Body Wave Functions. Physical Review Letters. 122(22). 226401–226401. 108 indexed citations
15.
Changlani, Hitesh J., Dmitrii Kochkov, Krishna Kumar, Bryan K. Clark, & Eduardo Fradkin. (2018). Macroscopically Degenerate Exactly Solvable Point in the Spin-1/2 Kagome Quantum Antiferromagnet. Physical Review Letters. 120(11). 117202–117202. 42 indexed citations
16.
Kochkov, Dmitrii, et al.. (2018). Classical phase diagram of the stuffed honeycomb lattice. Physical review. B.. 98(13). 4 indexed citations
17.
Pekker, David, et al.. (2017). Finding Matrix Product State Representations of Highly Excited Eigenstates of Many-Body Localized Hamiltonians. Physical Review Letters. 118(1). 17201–17201. 73 indexed citations
18.
Pekker, David, Bryan K. Clark, Vadim Oganesyan, & Gil Refael. (2017). Fixed Points of Wegner-Wilson Flows and Many-Body Localization. Physical Review Letters. 119(7). 75701–75701. 66 indexed citations
19.
Wecker, Dave, Matthew B. Hastings, Nathan Wiebe, et al.. (2015). Solving strongly correlated electron models on a quantum computer. Physical Review A. 92(6). 183 indexed citations
20.
Clark, Bryan K., et al.. (2015). The phase diagram of high-pressure superionic ice. Nature Communications. 6(1). 8156–8156. 56 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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