Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Surface codes: Towards practical large-scale quantum computation
20121.7k citationsAustin G. Fowler, M. Mariantoni et al.Physical Review Aprofile →
Commercialize quantum technologies in five years
2017137 citationsAustin G. Fowler, John M. Martinis et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Austin G. Fowler
Since
Specialization
Citations
This map shows the geographic impact of Austin G. Fowler'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 Austin G. Fowler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin G. Fowler more than expected).
Fields of papers citing papers by Austin G. Fowler
This network shows the impact of papers produced by Austin G. Fowler. 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 Austin G. Fowler. The network helps show where Austin G. Fowler may publish in the future.
Co-authorship network of co-authors of Austin G. Fowler
This figure shows the co-authorship network connecting the top 25 collaborators of Austin G. Fowler.
A scholar is included among the top collaborators of Austin G. Fowler 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 Austin G. Fowler. Austin G. Fowler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fowler, Austin G.. (2018). Towards sufficiently fast quantum error correction. Bulletin of the American Physical Society. 2018.1 indexed citations
3.
Horsman, Dominic, Austin G. Fowler, Simon J. Devitt, & Rodney Van Meter. (2016). Surface code quantum computing by lattice surgery.75 indexed citations
4.
Ghosh, Joydip & Austin G. Fowler. (2014). A Leakage-Resilient Scheme for the Measurement of Stabilizer Operators in Superconducting Quantum Circuits. arXiv (Cornell University).2 indexed citations
Fowler, Austin G., M. Mariantoni, John M. Martinis, & A. N. Cleland. (2012). A primer on surface codes: Developing a machine language for a quantum computer. arXiv (Cornell University).5 indexed citations
Meter, Rodney Van, Austin G. Fowler, Peter L. McMahon, et al.. (2010). A Layered Architecture for Quantum Computing Using Quantum Dots. arXiv (Cornell University).19 indexed citations
Fowler, Austin G., David S. Wang, Charles D. Hill, et al.. (2010). Surface Code Quantum Communication. Physical Review Letters. 104(18). 180503–180503.117 indexed citations
Fowler, Austin G., Lloyd C. L. Hollenberg, Andrew D. Greentree, & Cameron Wellard. (2006). Spin transport and quasi 2D architectures for donor-based quantum computing. Bulletin of the American Physical Society.1 indexed citations
16.
Devitt, Simon J., Austin G. Fowler, & Lloyd C. L. Hollenberg. (2006). Robustness of Shor's algorithm. Quantum Information and Computation. 6(7). 616–629.6 indexed citations
Devitt, Simon J., Austin G. Fowler, & Lloyd C. L. Hollenberg. (2004). Simulations of Shor's algorithm with implications to scaling and quantum error correction. arXiv (Cornell University).4 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.