Alex McCaskey
Impact in
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- Quantum and electron transport phenomena
- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum Mechanics and Applications
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
Papers in
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- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 7
- Neural Networks and Reservoir Computing 1
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- Quantum Mechanics and Applications 4
- Quantum and electron transport phenomena 1
- Co-authors
- Eugene Dumitrescu (5 shared papers)Raphael C. Pooser (4 shared papers)Titus Morris (3 shared papers)Pavel Lougovski (3 shared papers)Natalie Klco (2 shared papers)Martin J. Savage (2 shared papers)Mikel Sanz (2 shared papers)E. Solano (2 shared papers)
- Journals
- Physical review. A (2 papers)Physical Review Letters (1 paper)SoftwareX (1 paper)Scientific Reports (1 paper)Entropy (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Alex McCaskey
8 papers receiving 659 citations
Alex McCaskey's Hit Papers
Peers
Comparison fields: 5 of 41
- Atomic and Molecular Physics, and Optics 456
- Artificial Intelligence 496
- Nuclear and High Energy Physics 99
- Condensed Matter Physics 61
- Hardware and Architecture 20
Countries citing papers authored by Alex McCaskey
This map shows the geographic impact of Alex McCaskey'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 Alex McCaskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex McCaskey more than expected).
Fields of papers citing papers by Alex McCaskey
This network shows the impact of papers produced by Alex McCaskey. 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 Alex McCaskey. The network helps show where Alex McCaskey may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex McCaskey, 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 | Quantum-classical computation of Schwinger model dynamics using quantum computers Hit paper breakdown → | 2018 | 302 |
| 2 | 2018 | 257 | |
| 3 | 2019 | 46 | |
| 4 | 2018 | 32 | |
| 5 | 2014 | 16 | |
| 6 | 2023 | 7 | |
| 7 | 2017 | 3 | |
| 8 | Quantum-Classical Dynamical Calculations of the Schwinger Model using Quantum Computers | 2018 | 1 |
| 9 | 2022 | 0 | |
| 10 | 2025 | 0 |
About Alex McCaskey
Alex McCaskey is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Hardware and Architecture, Electrical and Electronic Engineering and Infectious Diseases, having authored 10 papers that have together received 664 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (7 papers), Quantum Mechanics and Applications (4 papers), Parallel Computing and Optimization Techniques (2 papers), Quantum and electron transport phenomena (1 paper), Neural Networks and Reservoir Computing (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (456 citations), Artificial Intelligence (496 citations), Nuclear and High Energy Physics (99 citations), Condensed Matter Physics (61 citations) and Hardware and Architecture (20 citations). Alex McCaskey has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Eugene Dumitrescu, Raphael C. Pooser, Titus Morris, Pavel Lougovski, Natalie Klco, Martin J. Savage, Mikel Sanz, E. Solano, G. Hagen and G. R. Jansen. Their work appears in journals such as Physical review. A, Physical Review Letters, SoftwareX, Scientific Reports and Entropy.
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.