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.
This map shows the geographic impact of John Preskill'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 John Preskill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Preskill more than expected).
This network shows the impact of papers produced by John Preskill. 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 John Preskill. The network helps show where John Preskill may publish in the future.
Co-authorship network of co-authors of John Preskill
This figure shows the co-authorship network connecting the top 25 collaborators of John Preskill.
A scholar is included among the top collaborators of John Preskill 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 John Preskill. John Preskill is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lee, Seunghoon, Joonho Lee, Huanchen Zhai, et al.. (2023). Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry. Nature Communications. 14(1). 1952–1952.143 indexed citations breakdown →
8.
Huang, Hsin-Yuan, Michael Broughton, Jordan Cotler, et al.. (2022). Quantum advantage in learning from experiments. Science. 376(6598). 1182–1186.298 indexed citations breakdown →
9.
Huang, Hsin-Yuan, Richard Kueng, Giacomo Torlai, Victor V. Albert, & John Preskill. (2022). Provably efficient machine learning for quantum many-body problems. Science. 377(6613). eabk3333–eabk3333.150 indexed citations breakdown →
10.
Elben, Andreas, Steven T. Flammia, Hsin-Yuan Huang, et al.. (2022). The randomized measurement toolbox. Nature Reviews Physics. 5(1). 9–24.208 indexed citations breakdown →
11.
Chamberland, Christopher, Kyungjoo Noh, Patricio Arrangoiz-Arriola, et al.. (2022). Building a Fault-Tolerant Quantum Computer Using Concatenated Cat Codes. PRX Quantum. 3(1).172 indexed citations breakdown →
12.
Brandão, Fernando G. S. L., Wissam Chemissany, Nicholas Hunter-Jones, Richard Kueng, & John Preskill. (2021). Models of Quantum Complexity Growth. PRX Quantum. 2(3).75 indexed citations
Preskill, John. (2016). Stability, topology, holography: The many facets of quantum error correction. Bulletin of the American Physical Society. 2016.2 indexed citations
Jiang, Liang, et al.. (2012). Generalized Uhrig Dynamical Decoupling for Multi-Level Quantum Systems. Bulletin of the American Physical Society. 2012.2 indexed citations
Preskill, John. (1984). Magnetic monopoles in particle physics and cosmology.. Presented at. 373–389.1 indexed citations
19.
Preskill, John, Mark B. Wise, & Frank Wilczek. (1983). Cosmology of the invisible axion. Physics Letters B. 120(1-3). 127–132.2151 indexed citations breakdown →
20.
Preskill, John. (1982). MONOPOLES IN THE VERY EARLY UNIVERSE. Presented at. 119–146.1 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.