Jon Yard
Impact in
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- Quantum Mechanics and Applications
- Quantum many-body systems
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Artificial Intelligence top 2%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 9
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- Quantum Mechanics and Applications 7
- Topological Materials and Phenomena 1
- Quantum and electron transport phenomena 1
- Co-authors
- Graeme Smith (2 shared papers)Igor Devetak (4 shared papers)Patrick Hayden (2 shared papers)Matthias Christandl (1 shared paper)Fernando G. S. L. Brandão (1 shared paper)Patrick Hayden (1 shared paper)Michał Horodecki (1 shared paper)Andreas Winter (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (3 papers)Communications in Mathematical Physics (1 paper)Physical Review Letters (1 paper)Open Systems & Information Dynamics (1 paper)Quantum Information and Computation (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jon Yard
10 papers receiving 784 citations
Peers
Comparison fields: 5 of 39
- Atomic and Molecular Physics, and Optics 605
- Artificial Intelligence 671
- Statistical and Nonlinear Physics 47
- Computational Theory and Mathematics 61
- Condensed Matter Physics 31
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 | 212 | |
| 2 | 2011 | 111 | |
| 3 | 2008 | 94 | |
| 4 | 2008 | 79 | |
| 5 | 2008 | 64 | |
| 6 | 2011 | 57 | |
| 7 | 2014 | 56 | |
| 8 | 2009 | 56 | |
| 9 | 2011 | 55 | |
| 10 | 2008 | 27 | |
| 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 811 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), Advanced Thermodynamics and Statistical Mechanics (1 paper), Topological Materials and Phenomena (1 paper), Advanced Combinatorial Mathematics (1 paper) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (605 citations), Artificial Intelligence (671 citations), Statistical and Nonlinear Physics (47 citations), Computational Theory and Mathematics (61 citations) and Condensed Matter Physics (31 citations). Jon Yard has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Graeme Smith, Igor Devetak, Patrick Hayden, Matthias Christandl, Fernando G. S. L. Brandão, Patrick Hayden, Michał Horodecki, Andreas Winter, John A. Smolin and Paweł Wocjan. Their work appears in journals such as IEEE Transactions on Information Theory, Communications in Mathematical Physics, Physical Review Letters, Open Systems & Information Dynamics and Quantum Information and Computation.
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.