Alexander McCaskey

568 total citations
19 papers, 283 citations indexed

About

Alexander McCaskey is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Hardware and Architecture. According to data from OpenAlex, Alexander McCaskey has authored 19 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Atomic and Molecular Physics, and Optics and 8 papers in Hardware and Architecture. Recurrent topics in Alexander McCaskey's work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (10 papers) and Parallel Computing and Optimization Techniques (8 papers). Alexander McCaskey is often cited by papers focused on Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (10 papers) and Parallel Computing and Optimization Techniques (8 papers). Alexander McCaskey collaborates with scholars based in United States, Netherlands and Australia. Alexander McCaskey's co-authors include Travis S. Humble, Sabre Kais, Dmitry I. Lyakh, Eugene Dumitrescu, Thien Nguyen, Daniel Claudino, Thomas Monz, Albert Frisch, Hal Finkel and Pavel Lougovski and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Physical Review B.

In The Last Decade

Alexander McCaskey

19 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander McCaskey United States 8 236 87 48 47 41 19 283
Kaitlin N. Smith United States 11 290 1.2× 94 1.1× 59 1.2× 47 1.0× 65 1.6× 33 334
Gokul Subramanian Ravi United States 10 239 1.0× 70 0.8× 53 1.1× 107 2.3× 71 1.7× 31 343
Lukas Burgholzer Austria 12 321 1.4× 69 0.8× 90 1.9× 59 1.3× 96 2.3× 45 357
Pranav Gokhale United States 11 328 1.4× 126 1.4× 78 1.6× 30 0.6× 61 1.5× 21 359
Seiichiro Tani Japan 8 200 0.8× 71 0.8× 81 1.7× 45 1.0× 53 1.3× 37 265
Yongshan Ding United States 11 281 1.2× 110 1.3× 49 1.0× 26 0.6× 63 1.5× 24 323
Gushu Li United States 9 475 2.0× 142 1.6× 109 2.3× 107 2.3× 109 2.7× 19 524
Ruslan Shaydulin United States 12 368 1.6× 101 1.2× 118 2.5× 21 0.4× 32 0.8× 25 407
Madita Willsch Germany 9 314 1.3× 97 1.1× 89 1.9× 29 0.6× 28 0.7× 18 373
Jonathan M. Baker United States 10 390 1.7× 124 1.4× 91 1.9× 57 1.2× 91 2.2× 23 417

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-authorship network of co-authors of Alexander McCaskey

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander McCaskey. A scholar is included among the top collaborators of Alexander McCaskey 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 Alexander McCaskey. Alexander McCaskey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Claudino, Daniel, Dmitry I. Lyakh, & Alexander McCaskey. (2024). Parallel quantum computing simulations via quantum accelerator platform virtualization. Future Generation Computer Systems. 160. 264–273. 1 indexed citations
2.
Alexeev, Yuri, Alexander McCaskey, & Wibe A. de Jong. (2022). Introduction to the Special Issue on Software Tools for Quantum Computing: Part 1. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(3). 1–3. 3 indexed citations
3.
Nguyen, Thien, Dmitry I. Lyakh, Eugene Dumitrescu, et al.. (2022). Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale. 4(1). 1–21. 16 indexed citations
4.
Nguyen, Thien & Alexander McCaskey. (2022). Extending Python for Quantum-classical Computing via Quantum Just-in-time Compilation. 3(4). 1–25. 2 indexed citations
5.
Claudino, Daniel, et al.. (2022). Numerical simulations of noisy quantum circuits for computational chemistry. SHILAP Revista de lepidopterología. 6(1). 3 indexed citations
6.
Claudino, Daniel, Alexander McCaskey, & Dmitry I. Lyakh. (2022). A Backend-agnostic, Quantum-classical Framework for Simulations of Chemistry in C ++. arXiv (Cornell University). 4(1). 1–20. 5 indexed citations
7.
Lyakh, Dmitry I., Thien Nguyen, Daniel Claudino, Eugene Dumitrescu, & Alexander McCaskey. (2022). ExaTN: Scalable GPU-Accelerated High-Performance Processing of General Tensor Networks at Exascale. Frontiers in Applied Mathematics and Statistics. 8. 12 indexed citations
8.
Nguyen, Thien & Alexander McCaskey. (2022). Retargetable Optimizing Compilers for Quantum Accelerators via a Multilevel Intermediate Representation. IEEE Micro. 42(5). 17–33. 2 indexed citations
9.
Humble, Travis S., et al.. (2021). Quantum Computers for High-Performance Computing. IEEE Micro. 41(5). 15–23. 41 indexed citations
10.
McCaskey, Alexander, et al.. (2021). Extending C++ for Heterogeneous Quantum-Classical Computing. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2(2). 1–36. 23 indexed citations
11.
Nguyen, Thien, Lindsay Bassman Oftelie, Dmitry I. Lyakh, et al.. (2021). Scalable Programming Workflows for Validation of Quantum Computers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 862. 80–87. 1 indexed citations
12.
Claudino, Daniel, et al.. (2021). Numerical Simulations of Noisy Variational Quantum Eigensolver Ansatz Circuits. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 155–159. 4 indexed citations
13.
McCaskey, Alexander, et al.. (2020). QCOR. ACM Journal on Emerging Technologies in Computing Systems. 16(2). 1–17. 17 indexed citations
14.
McCaskey, Alexander, et al.. (2018). Quantum Computer Programming, Compilation, and Execution with XACC. Bulletin of the American Physical Society. 2018. 1 indexed citations
15.
McCaskey, Alexander, et al.. (2018). Validating quantum-classical programming models with tensor network simulations. PLoS ONE. 13(12). e0206704–e0206704. 26 indexed citations
16.
McCaskey, Alexander, et al.. (2018). Quantum Annealing for Prime Factorization. Scientific Reports. 8(1). 17667–17667. 110 indexed citations
17.
McCaskey, Alexander, et al.. (2017). Extreme-Scale Programming Model for Quantum Acceleration within High Performance Computing. arXiv (Cornell University). 5 indexed citations
18.
McCaskey, Alexander. (2017). Tensor Network Quantum Virtual Machine (TNQVM). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
19.
McCaskey, Alexander, et al.. (2015). Electron-vibron coupling effects on electron transport via a single-molecule magnet. Physical Review B. 91(12). 9 indexed citations

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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