Alexander McCaskey

568 citations
19 papers · 283 · h-index 8

Impact in

Papers in

Alexander McCaskey

19 papers receiving 271 citations

Peers

Alexander McCaskey
Comparison fields: 5 of 35
  • Computational Mathematics 7
  • Artificial Intelligence 236
  • Hardware and Architecture 47
  • Computational Theory and Mathematics 48
  • Atomic and Molecular Physics, and Optics 87
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Citations per field
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Citations per year

Countries citing papers authored by Alexander McCaskey

Since Specialization
Citations

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

Fields of papers citing papers by Alexander McCaskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander 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 Alexander McCaskey. The network helps show where Alexander McCaskey may publish in the future.

Co-authors

The 24 scholars most cited alongside Alexander McCaskey, 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 Alexander McCaskey Line = papers co-authored together Alexander McCaskey links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2018110
2 202141
3 201826
4 202123
5 202017
6 202216
7 202212
8 20159
9
Extreme-Scale Programming Model for Quantum Acceleration within High Performance Computing
20175
10 20225
11 20214
12 20223
13 20223
14 20172
15 20222
16 20222
17
Quantum Computer Programming, Compilation, and Execution with XACC
20181
18 20211
19 20241

About Alexander McCaskey

Alexander McCaskey is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Hardware and Architecture, Information Systems and Computer Networks and Communications, having authored 19 papers that have together received 283 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (10 papers), Parallel Computing and Optimization Techniques (8 papers), Quantum and electron transport phenomena (4 papers), Quantum many-body systems (4 papers), Cloud Computing and Resource Management (2 papers), Quantum-Dot Cellular Automata (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Computational Mathematics (7 citations), Artificial Intelligence (236 citations), Hardware and Architecture (47 citations), Computational Theory and Mathematics (48 citations) and Atomic and Molecular Physics, and Optics (87 citations). Alexander McCaskey has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Travis S. Humble, Sabre Kais, Dmitry I. Lyakh, Eugene Dumitrescu, Thien Nguyen, Daniel Claudino, Thomas Monz, Albert Frisch, Hal Finkel and Jeff Larkin. Their work appears in journals such as IEEE Micro, Scientific Reports, ACM Journal on Emerging Technologies in Computing Systems, Physical Review B and PLoS ONE.

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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