James R. Wootton

34 papers receiving 632 citations

Hit Papers

Encoding a magic state with beyond break-even fidelity20242026202520241020304050

Peers

James R. Wootton
Comparison fields: 5 of 25
  • Artificial Intelligence 479
  • Atomic and Molecular Physics, and Optics 450
  • Computational Theory and Mathematics 113
  • Condensed Matter Physics 82
  • Electrical and Electronic Engineering 64
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E. Ladizinsky United States
M. A. Rol Netherlands
Shuxiang Cao United Kingdom
E. Tolkacheva Sweden
Peter Groszkowski United States
Martin Leib Germany
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Andrew S. Darmawan Japan
Ants Remm Switzerland
James R. Wootton relative to E. Ladizinsky United States E. Ladizinsky's profile →
Citations per field
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Citations per year

Countries citing papers authored by James R. Wootton

Since Specialization
Citations

This map shows the geographic impact of James R. Wootton'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 James R. Wootton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Wootton more than expected).

Fields of papers citing papers by James R. Wootton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Wootton. 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 James R. Wootton. The network helps show where James R. Wootton may publish in the future.

Co-authorship network of co-authors of James R. Wootton

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Wootton. A scholar is included among the top collaborators of James R. Wootton 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 James R. Wootton. James R. Wootton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Encoding a magic state with beyond break-even fidelitybreakdown →
55
3 5
4 7
5 33
6 1
7 0
8 25
9 10
10 6
11
Local 3D spin Hamiltonian as a thermally stable surface code
1
12 65
13 17
14 2
15 24
16 3
17 43
18 8
19
Engineering non-Abelian topological memories from Abelian lattice models
1
20 15

About James R. Wootton

James R. Wootton is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 35 papers that have together received 645 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (21 papers), Quantum and electron transport phenomena (17 papers) and Quantum Information and Cryptography (13 papers). The work is most often cited by research in Artificial Intelligence (479 citations), Atomic and Molecular Physics, and Optics (450 citations) and Computational Theory and Mathematics (113 citations). James R. Wootton has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Daniel Loss, Jiannis K. Pachos, Adrian Hutter, Benjamin J. Brown, Chris N. Self, Fabio L. Pedrocchi, Ruben S. Andrist, Helmut G. Katzgraber, Ville Lahtinen and Seth Merkel. Their work appears in journals such as Nature, Physical Review Letters and Reviews of Modern Physics.

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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