Cody Jones
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum-Dot Cellular Automata
Papers in
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- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 7
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- Quantum-Dot Cellular Automata 6
- Co-authors
- Simon J. Devitt (1 shared paper)Austin G. Fowler (1 shared paper)Poulami Das (1 shared paper)Aditya Locharla (1 shared paper)Jim Harrington (1 shared paper)Michael Newman (1 shared paper)Craig Gidney (1 shared paper)Dvir Kafri (1 shared paper)
- Journals
- Physical Review A (3 papers)Nature Communications (2 papers)Nature (1 paper)Quantum Information and Computation (1 paper)Physical review. A (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Cody Jones
12 papers receiving 360 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 337
- Computational Theory and Mathematics 159
- Atomic and Molecular Physics, and Optics 139
- Hardware and Architecture 12
- Electrical and Electronic Engineering 65
Countries citing papers authored by Cody Jones
This map shows the geographic impact of Cody Jones'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 Cody Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cody Jones more than expected).
Fields of papers citing papers by Cody Jones
This network shows the impact of papers produced by Cody Jones. 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 Cody Jones. The network helps show where Cody Jones may publish in the future.
Co-authors
The 25 scholars most cited alongside Cody Jones, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2013 | 80 | |
| 3 | 2013 | 49 | |
| 4 | 2022 | 32 | |
| 5 | 2024 | 23 | |
| 6 | 2013 | 21 | |
| 7 | 2016 | 17 | |
| 8 | 2013 | 15 | |
| 9 | 2025 | 7 | |
| 10 | 2016 | 6 | |
| 11 | 2012 | 4 | |
| 12 | 2014 | 3 |
About Cody Jones
Cody Jones is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 370 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (7 papers), Quantum-Dot Cellular Automata (6 papers), Quantum optics and atomic interactions (2 papers), Quantum and electron transport phenomena (2 papers), Advanced Data Storage Technologies (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers) and Low-power high-performance VLSI design (1 paper). The work is most often cited by research in Artificial Intelligence (337 citations), Computational Theory and Mathematics (159 citations), Atomic and Molecular Physics, and Optics (139 citations), Hardware and Architecture (12 citations) and Electrical and Electronic Engineering (65 citations). Cody Jones has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Simon J. Devitt, Austin G. Fowler, Poulami Das, Aditya Locharla, Jim Harrington, Michael Newman, Craig Gidney, Dvir Kafri, Sam Blackwell and Hartmut Neven. Their work appears in journals such as Physical Review A, Nature Communications, Nature, Quantum Information and Computation and Physical review. A.
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.