Lucas T. Brady
- Artificial Intelligence top 5%
- Nuclear and High Energy Physics top 5%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Alberto AccardiWally MelnitchoukJ. F. OwensN. SatoAlexey V. GorshkovAniruddha BapatChristopher L. BaldwinWim van Dam
- Topics
- Quantum Computing Algorithms and Architecture (16 papers)Quantum Information and Cryptography (15 papers)Quantum and electron transport phenomena (5 papers)
- Cited by
- Nuclear and High Energy PhysicsArtificial IntelligenceAtomic and Molecular Physics, and Optics
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of High Energy Physics
- Partner nations
- United States
In The Last Decade
Lucas T. Brady
21 papers receiving 555 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 272
- Nuclear and High Energy Physics 267
- Atomic and Molecular Physics, and Optics 159
- Computational Theory and Mathematics 68
- Statistical and Nonlinear Physics 23
Countries citing papers authored by Lucas T. Brady
This map shows the geographic impact of Lucas T. Brady'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 Lucas T. Brady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas T. Brady more than expected).
Fields of papers citing papers by Lucas T. Brady
This network shows the impact of papers produced by Lucas T. Brady. 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 Lucas T. Brady. The network helps show where Lucas T. Brady may publish in the future.
Co-authorship network of co-authors of Lucas T. Brady
This figure shows the co-authorship network connecting the top 25 collaborators of Lucas T. Brady. A scholar is included among the top collaborators of Lucas T. Brady 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 Lucas T. Brady. Lucas T. Brady is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 146 | |
| 12 | Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator | 6 |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 205 | |
| 16 | 20 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 16 | |
| 20 | 28 |
About Lucas T. Brady
Lucas T. Brady is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 572 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (15 papers) and Quantum and electron transport phenomena (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (267 citations), Artificial Intelligence (272 citations) and Atomic and Molecular Physics, and Optics (159 citations). Lucas T. Brady has collaborated with scholars based in United States. Frequent co-authors include Alberto Accardi, Wally Melnitchouk, J. F. Owens, N. Sato, Alexey V. Gorshkov, Aniruddha Bapat, Christopher L. Baldwin, Wim van Dam, Harvey Kaplan and Patrick Becker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of High Energy 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.