Andrew Arrasmith

916 citations
15 papers · 468 · h-index 10

Impact in

Papers in

Andrew Arrasmith

13 papers receiving 460 citations

Peers

Andrew Arrasmith
Comparison fields: 5 of 33
  • Artificial Intelligence 427
  • Atomic and Molecular Physics, and Optics 229
  • Computational Mathematics 2
  • Computational Theory and Mathematics 51
  • Statistical and Nonlinear Physics 29
Replace Gregory Quiroz with:
Gregory Quiroz United States
Sergii Strelchuk United Kingdom
Sumeet Khatri United States
Yuval R. Sanders Australia
Wen Lin Tan United States
Dominic C. Horsman United Kingdom
Mitchell Matheny United States
Alex Greene United States
Dan Gresh United States
Lennart Bittel Germany
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Citations per field
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Gregory Quiroz · 1×
Citations per year

Countries citing papers authored by Andrew Arrasmith

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Arrasmith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Andrew Arrasmith, 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 Andrew Arrasmith Line = papers co-authored together Andrew Arrasmith links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2022104
2 202192
3 202282
4 201945
5 202231
6 202427
7 202325
8 202225
9 202113
10 202211
11 202210
12 20232
13 20231
14 20260
15 20260

About Andrew Arrasmith

Andrew Arrasmith is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Nuclear and High Energy Physics and Astronomy and Astrophysics, having authored 15 papers that have together received 468 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (11 papers), Quantum Mechanics and Applications (3 papers), Quantum and electron transport phenomena (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Quantum many-body systems (2 papers) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Artificial Intelligence (427 citations), Atomic and Molecular Physics, and Optics (229 citations), Computational Mathematics (2 citations), Computational Theory and Mathematics (51 citations) and Statistical and Nonlinear Physics (29 citations). Andrew Arrasmith has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Patrick J. Coles, Marco Cerezo, Zoë Holmes, Andrew T. Sornborger, Łukasz Cincio, Kunal Sharma, Andreas Albrecht, Bin Yan, Piotr Czarnik and Wojciech Hubert Zurek. Their work appears in journals such as Quantum, Physical Review Research, Nature Communications, npj Quantum Information and Physical review. D.

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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