Alex McCaskey

1.0k total citations · 1 hit paper
10 papers, 649 citations indexed

About

Alex McCaskey is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Hardware and Architecture. According to data from OpenAlex, Alex McCaskey has authored 10 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 2 papers in Hardware and Architecture. Recurrent topics in Alex McCaskey's work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (7 papers) and Quantum Mechanics and Applications (4 papers). Alex McCaskey is often cited by papers focused on Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (7 papers) and Quantum Mechanics and Applications (4 papers). Alex McCaskey collaborates with scholars based in United States, Australia and Spain. Alex McCaskey's co-authors include Eugene Dumitrescu, Raphael C. Pooser, Pavel Lougovski, Titus Morris, Martin J. Savage, Mikel Sanz, E. Solano, Natalie Klco, G. Hagen and T. Papenbrock and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Physical review. A.

In The Last Decade

Alex McCaskey

8 papers receiving 642 citations

Hit Papers

Quantum-classical computation of Schwinger model dynamics... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex McCaskey United States 6 483 445 100 60 50 10 649
Artur García-Sáez Spain 14 294 0.6× 303 0.7× 27 0.3× 61 1.0× 21 0.4× 30 447
Alireza Seif United States 12 348 0.7× 313 0.7× 38 0.4× 26 0.4× 31 0.6× 28 467
Zoltán Zimborás Hungary 18 444 0.9× 526 1.2× 41 0.4× 104 1.7× 48 1.0× 50 718
C. Huerta Alderete United States 12 443 0.9× 345 0.8× 34 0.3× 17 0.3× 41 0.8× 23 554
Keith S. M. Lee United States 11 349 0.7× 345 0.8× 267 2.7× 53 0.9× 19 0.4× 14 669
Alexander Erhard Austria 4 274 0.6× 448 1.0× 74 0.7× 103 1.7× 17 0.3× 10 538
Nhung H. Nguyen United States 10 387 0.8× 269 0.6× 32 0.3× 13 0.2× 40 0.8× 17 474
Sonika Johri United States 17 470 1.0× 564 1.3× 15 0.1× 99 1.6× 44 0.9× 31 770
Alexis Morvan United States 10 622 1.3× 608 1.4× 17 0.2× 44 0.7× 130 2.6× 18 790
Frank Gaitan United States 13 424 0.9× 319 0.7× 20 0.2× 86 1.4× 36 0.7× 41 608

Countries citing papers authored by Alex McCaskey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Alex McCaskey

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

All Works

10 of 10 papers shown
2.
McCaskey, Alex, et al.. (2023). CUDA Quantum: The Platform for Integrated Quantum-Classical Computing. 1–4. 7 indexed citations
3.
Nguyen, Thien Huu, et al.. (2022). Scaling quantum approximate optimization on near-term hardware. Scientific Reports. 12(1). 12388–12388.
4.
Yeter‐Aydeniz, Kübra, Eugene Dumitrescu, Alex McCaskey, et al.. (2019). Scalar quantum field theories as a benchmark for near-term quantum computers. Physical review. A. 99(3). 46 indexed citations
5.
Klco, Natalie, Eugene Dumitrescu, Alex McCaskey, et al.. (2018). Quantum-Classical Dynamical Calculations of the Schwinger Model using Quantum Computers. arXiv (Cornell University). 1 indexed citations
6.
Dumitrescu, Eugene, Alex McCaskey, G. Hagen, et al.. (2018). Cloud Quantum Computing of an Atomic Nucleus. Physical Review Letters. 120(21). 210501–210501. 251 indexed citations
7.
McCaskey, Alex, et al.. (2018). A language and hardware independent approach to quantum–classical computing. SoftwareX. 7. 245–254. 30 indexed citations
8.
Klco, Natalie, Eugene Dumitrescu, Alex McCaskey, et al.. (2018). Quantum-classical computation of Schwinger model dynamics using quantum computers. Physical review. A. 98(3). 296 indexed citations breakdown →
9.
McCaskey, Alex, et al.. (2017). Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization. Entropy. 19(9). 500–500. 3 indexed citations
10.
Humble, Travis S., et al.. (2014). An integrated programming and development environment for adiabatic quantum optimization. arXiv (Cornell University). 7(1). 15006–15006. 15 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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