Andrew Arrasmith

829 citations
13 papers · 378 · h-index 9

Impact in

Papers in

Andrew Arrasmith

12 papers receiving 373 citations

Peers

Andrew Arrasmith
Comparison fields: 5 of 30
  • Artificial Intelligence 356
  • Atomic and Molecular Physics, and Optics 198
  • Computational Mathematics 2
  • Computational Theory and Mathematics 46
  • Statistical and Nonlinear Physics 23
Replace Mária Kieferová with:
Mária Kieferová Australia
Marius Nagy Canada
Alexander M. Dalzell United States
Marc Beekman Netherlands
Shuaining Zhang China
Vincent E. Elfving United Kingdom
Nandini Muthusubramanian Netherlands
Wen Lin Tan United States
Adam Bouland United States
Felix Leditzky United States
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Citations per field
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Mária Kieferová · 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 14 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

13 of 13 papers shown
#Work
1 202288
2 202177
3 202268
4 201937
5 202229
6 202321
7 202421
8 202219
9 20229
10 20227
11 20231
12 20231
13 20200

About Andrew Arrasmith

Andrew Arrasmith is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Astronomy and Astrophysics, having authored 13 papers that have together received 378 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (10 papers), Quantum and electron transport phenomena (3 papers), Quantum many-body systems (3 papers), Quantum Mechanics and Applications (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Artificial Intelligence (356 citations), Atomic and Molecular Physics, and Optics (198 citations), Computational Mathematics (2 citations), Computational Theory and Mathematics (46 citations) and Statistical and Nonlinear Physics (23 citations). Andrew Arrasmith has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Patrick J. Coles, M. Cerezo, Zoë Holmes, Andrew Sornborger, Łukasz Cincio, Kunal Sharma, Andreas Albrecht, Bin Yan, Piotr Czarnik and Wojciech H. Zurek. Their work appears in journals such as Quantum, Physical Review Research, npj Quantum Information, Quantum Science and Technology 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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