Bryan K. Clark

2.4k citations
55 papers · 1.5k · h-index 20

Impact in

Papers in

Bryan K. Clark

53 papers receiving 1.5k citations

Peers

Bryan K. Clark
Comparison fields: 5 of 76
  • Computational Mathematics 21
  • Structural Biology 50
  • Atomic and Molecular Physics, and Optics 1.1k
  • Condensed Matter Physics 358
  • Artificial Intelligence 595
Replace Kenny Choo with:
Kenny Choo Switzerland
Michael P. Zaletel United States
Daniel Barredo France
Yi‐Zhuang You United States
Alexander Keesling United States
Harry Levine United States
B. E. Kane United States
Guglielmo Mazzola Switzerland
Tim Langen Germany
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Citations per year

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-authors

The 25 scholars most cited alongside Bryan K. Clark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bryan K. Clark Line = papers co-authored together Bryan K. Clark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014190
2 2015188
3 2019120
4 2020112
5 201773
6 201766
7 201866
8 201559
9 201656
10 201845
11 202037
12 202435
13 202334
14 202332
15 201731
16 200629
17 202126
18 202124
19 202122
20 201821

About Bryan K. Clark

Bryan K. Clark is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Materials Chemistry and Statistical and Nonlinear Physics, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum many-body systems (31 papers), Physics of Superconductivity and Magnetism (15 papers), Quantum Computing Algorithms and Architecture (11 papers), Quantum and electron transport phenomena (10 papers), Advanced Condensed Matter Physics (7 papers), Machine Learning in Materials Science (7 papers), Quantum Information and Cryptography (5 papers) and Topological Materials and Phenomena (4 papers). The work is most often cited by research in Computational Mathematics (21 citations), Structural Biology (50 citations), Atomic and Molecular Physics, and Optics (1.1k citations), Condensed Matter Physics (358 citations) and Artificial Intelligence (595 citations). Bryan K. Clark has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Di Luo, Matthias Troyer, Matthew B. Hastings, Dave Wecker, David Pekker, Eli Chertkov, Bela Bauer, Nathan Wiebe, Chetan Nayak and David J. Luitz. Their work appears in journals such as Physical review. B., Physical Review Letters, Microscopy and Microanalysis, Physical Review Research and PRX Quantum.

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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