Jon Yard

1.7k total citations
11 papers, 753 citations indexed

About

Jon Yard is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Jon Yard has authored 11 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Atomic and Molecular Physics, and Optics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Jon Yard's work include Quantum Information and Cryptography (9 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Mechanics and Applications (7 papers). Jon Yard is often cited by papers focused on Quantum Information and Cryptography (9 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Mechanics and Applications (7 papers). Jon Yard collaborates with scholars based in United States, Canada and Switzerland. Jon Yard's co-authors include Graeme Smith, Igor Devetak, Patrick Hayden, Matthias Christandl, Fernando G. S. L. Brandão, Michał Horodecki, Patrick Hayden, Andreas Winter, John A. Smolin and Paweł Wocjan and has published in prestigious journals such as Science, Physical Review Letters and Physical Review B.

In The Last Decade

Jon Yard

10 papers receiving 728 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jon Yard United States 10 626 563 56 52 44 11 753
M. Van den Nest Austria 11 910 1.5× 793 1.4× 68 1.2× 71 1.4× 43 1.0× 18 1.0k
Chao Shen China 13 633 1.0× 636 1.1× 52 0.9× 27 0.5× 48 1.1× 27 822
Dong Ruan China 13 403 0.6× 454 0.8× 73 1.3× 42 0.8× 74 1.7× 62 689
Volkher B. Scholz Switzerland 12 548 0.9× 588 1.0× 42 0.8× 72 1.4× 103 2.3× 33 773
M. Hein Austria 5 902 1.4× 849 1.5× 41 0.7× 39 0.8× 46 1.0× 6 977
Michael J. Kastoryano Germany 15 768 1.2× 813 1.4× 44 0.8× 70 1.3× 211 4.8× 24 1.1k
Anurag Anshu Singapore 12 308 0.5× 266 0.5× 48 0.9× 25 0.5× 90 2.0× 36 431
Eric R. Anschuetz United States 6 514 0.8× 613 1.1× 51 0.9× 44 0.8× 33 0.8× 13 800
Dominik Hangleiter United States 15 642 1.0× 516 0.9× 52 0.9× 56 1.1× 51 1.2× 34 823
Tohya Hiroshima Japan 16 630 1.0× 833 1.5× 150 2.7× 32 0.6× 52 1.2× 24 937

Countries citing papers authored by Jon Yard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jon Yard

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Yard. A scholar is included among the top collaborators of Jon Yard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jon Yard. Jon Yard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ruskai, Mary Beth & Jon Yard. (2023). Local additivity revisited. Journal of Mathematical Physics. 64(3).
2.
Cano, Jennifer, et al.. (2014). Bulk-edge correspondence in (2 + 1)-dimensional Abelian topological phases. Physical Review B. 89(11). 53 indexed citations
3.
Yard, Jon, Patrick Hayden, & Igor Devetak. (2011). Quantum Broadcast Channels. IEEE Transactions on Information Theory. 57(10). 7147–7162. 49 indexed citations
4.
Smith, Graeme, John A. Smolin, & Jon Yard. (2011). Quantum communication with Gaussian channels of zero quantum capacity. Nature Photonics. 5(10). 624–627. 50 indexed citations
5.
Brandão, Fernando G. S. L., Matthias Christandl, & Jon Yard. (2011). Faithful Squashed Entanglement. Communications in Mathematical Physics. 306(3). 805–830. 100 indexed citations
6.
Yard, Jon & Igor Devetak. (2009). Optimal Quantum Source Coding With Quantum Side Information at the Encoder and Decoder. IEEE Transactions on Information Theory. 55(11). 5339–5351. 53 indexed citations
7.
Devetak, Igor & Jon Yard. (2008). Exact Cost of Redistributing Multipartite Quantum States. Physical Review Letters. 100(23). 77 indexed citations
8.
Smith, Graeme & Jon Yard. (2008). Quantum Communication with Zero-Capacity Channels. Science. 321(5897). 1812–1815. 202 indexed citations
9.
Hayden, Patrick, Michał Horodecki, Andreas Winter, & Jon Yard. (2008). A Decoupling Approach to the Quantum Capacity. Open Systems & Information Dynamics. 15(1). 7–19. 89 indexed citations
10.
Yard, Jon, Patrick Hayden, & Igor Devetak. (2008). Capacity theorems for quantum multiple-access channels: classical-quantum and quantum-quantum capacity regions. IEEE Transactions on Information Theory. 54(7). 3091–3113. 59 indexed citations
11.
Wocjan, Paweł & Jon Yard. (2008). The Jones polynomial: quantum algorithms and applications in quantum complexity theory. Quantum Information and Computation. 8(1&2). 147–180. 21 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026