Jon Yard
Impact in
- Artificial Intelligence top 2%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
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- Quantum Mechanics and Applications
- Quantum many-body systems
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
Papers in
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- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 9
-
- Quantum Mechanics and Applications 7
- Quantum and electron transport phenomena 1
- Co-authors
- Graeme Smith (2 shared papers)Igor Devetak (4 shared papers)Patrick Hayden (2 shared papers)Fernando G. S. L. Brandão (1 shared paper)Matthias Christandl (1 shared paper)Michał Horodecki (1 shared paper)Patrick Hayden (1 shared paper)Andreas Winter (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (3 papers)Open Systems & Information Dynamics (1 paper)Science (1 paper)Physical Review B (1 paper)Nature Photonics (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Jon Yard
10 papers receiving 728 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 626
- Atomic and Molecular Physics, and Optics 563
- Statistical and Nonlinear Physics 44
- Computational Theory and Mathematics 52
- Condensed Matter Physics 29
Countries citing papers authored by Jon Yard
This map shows the geographic impact of Jon Yard'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 Jon Yard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Yard more than expected).
Fields of papers citing papers by Jon Yard
This network shows the impact of papers produced by Jon Yard. 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 Jon Yard. The network helps show where Jon Yard may publish in the future.
Co-authors
The 15 scholars most cited alongside Jon Yard, 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 | 2008 | 202 | |
| 2 | 2011 | 100 | |
| 3 | 2008 | 89 | |
| 4 | 2008 | 77 | |
| 5 | 2008 | 59 | |
| 6 | 2014 | 53 | |
| 7 | 2009 | 53 | |
| 8 | 2011 | 50 | |
| 9 | 2011 | 49 | |
| 10 | 2008 | 21 | |
| 11 | 2023 | 0 |
About Jon Yard
Jon Yard is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Discrete Mathematics and Combinatorics and Condensed Matter Physics, having authored 11 papers that have together received 753 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (7 papers), Wireless Communication Security Techniques (2 papers), Quantum and electron transport phenomena (1 paper), Physics of Superconductivity and Magnetism (1 paper), Algebraic structures and combinatorial models (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Artificial Intelligence (626 citations), Atomic and Molecular Physics, and Optics (563 citations), Statistical and Nonlinear Physics (44 citations), Computational Theory and Mathematics (52 citations) and Condensed Matter Physics (29 citations). Jon Yard has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Graeme Smith, Igor Devetak, Patrick Hayden, Fernando G. S. L. Brandão, Matthias Christandl, Michał Horodecki, Patrick Hayden, Andreas Winter, John A. Smolin and Paweł Wocjan. Their work appears in journals such as IEEE Transactions on Information Theory, Open Systems & Information Dynamics, Science, Physical Review B and Nature Photonics.
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.