Alexander McCaskey

594 citations
20 papers · 316 · h-index 8

Impact in

Papers in

Alexander McCaskey

19 papers receiving 304 citations

Peers

Alexander McCaskey
Comparison fields: 5 of 36
  • Computational Mathematics 7
  • Artificial Intelligence 262
  • Hardware and Architecture 49
  • Computational Theory and Mathematics 54
  • Atomic and Molecular Physics, and Optics 93
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Lukas Burgholzer Austria
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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 25 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

20 of 20 papers shown
#Work
1 2018122
2 202152
3 201826
4 202124
5 202021
6 202218
7 202212
8 20159
9 20226
10
Extreme-Scale Programming Model for Quantum Acceleration within High Performance Computing
20175
11 20225
12 20214
13 20223
14 20222
15 20222
16 20172
17
Quantum Computer Programming, Compilation, and Execution with XACC
20181
18 20241
19 20211
20 20230

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 20 papers that have together received 316 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (18 papers), Quantum Information and Cryptography (11 papers), Parallel Computing and Optimization Techniques (8 papers), Quantum many-body systems (4 papers), Quantum and electron transport phenomena (4 papers), Cloud Computing and Resource Management (2 papers), Quantum Mechanics and Applications (2 papers) and Magnetism in coordination complexes (1 paper). The work is most often cited by research in Computational Mathematics (7 citations), Artificial Intelligence (262 citations), Hardware and Architecture (49 citations), Computational Theory and Mathematics (54 citations) and Atomic and Molecular Physics, and Optics (93 citations). Alexander McCaskey has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Travis S. Humble, Sabre Kais, Dmitry I. Lyakh, Eugene Dumitrescu, Thien Nguyen, Daniel Claudino, Thomas Monz, Albert Frisch, Pavel Lougovski and Shirley Moore. Their work appears in journals such as IEEE Micro, Physical Review B, ACM Journal on Emerging Technologies in Computing Systems, Future Generation Computer Systems and Scientific Reports.

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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