Angus Lowe
Impact in
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- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
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- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Quantum many-body systems
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Quantum Computing Algorithms and Architecture 4
- Stochastic Gradient Optimization Techniques 1
- Quantum Information and Cryptography 1
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- Quantum and electron transport phenomena 3
- Quantum many-body systems 1
- Co-authors
- Juan Miguel Arrazola (2 shared papers)Nathan Killoran (1 shared paper)Anthony Hayes (1 shared paper)Thomas R. Bromley (1 shared paper)Jonathan E. Mueller (1 shared paper)Norge Cruz Hernández (1 shared paper)Alain Delgado (1 shared paper)Roberto dos Reis (1 shared paper)
- Journals
- Physical review. A (1 paper)Quantum (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Angus Lowe
3 papers receiving 69 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 60
- Atomic and Molecular Physics, and Optics 40
- Computational Theory and Mathematics 8
- Hardware and Architecture 3
- Electrical and Electronic Engineering 13
Countries citing papers authored by Angus Lowe
This map shows the geographic impact of Angus Lowe'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 Angus Lowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angus Lowe more than expected).
Fields of papers citing papers by Angus Lowe
This network shows the impact of papers produced by Angus Lowe. 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 Angus Lowe. The network helps show where Angus Lowe may publish in the future.
Co-authors
The 16 scholars most cited alongside Angus Lowe, 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 | 2023 | 36 | |
| 2 | 2022 | 36 | |
| 3 | 2025 | 2 | |
| 4 | 2020 | 0 |
About Angus Lowe
Angus Lowe is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Infectious Diseases, having authored 4 papers that have together received 74 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (4 papers), Quantum and electron transport phenomena (3 papers), Quantum many-body systems (1 paper), Computability, Logic, AI Algorithms (1 paper), Stochastic Gradient Optimization Techniques (1 paper), Advancements in Battery Materials (1 paper) and Quantum Information and Cryptography (1 paper). The work is most often cited by research in Artificial Intelligence (60 citations), Atomic and Molecular Physics, and Optics (40 citations), Computational Theory and Mathematics (8 citations), Hardware and Architecture (3 citations) and Electrical and Electronic Engineering (13 citations). Angus Lowe has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Juan Miguel Arrazola, Nathan Killoran, Anthony Hayes, Thomas R. Bromley, Jonathan E. Mueller, Norge Cruz Hernández, Alain Delgado, Roberto dos Reis, Pablo A. M. Casares and M. A. Martín-Delgado. Their work appears in journals such as Physical review. A, Quantum and arXiv (Cornell University).
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.