John Preskill

134 papers and 19.3k indexed citations i.

About

John Preskill is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics. According to data from OpenAlex, John Preskill has authored 134 papers receiving a total of 19.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 78 papers in Atomic and Molecular Physics, and Optics and 32 papers in Nuclear and High Energy Physics. Recurrent topics in John Preskill’s work include Quantum Computing Algorithms and Architecture (71 papers), Quantum Information and Cryptography (63 papers) and Quantum Mechanics and Applications (35 papers). John Preskill is often cited by papers focused on Quantum Computing Algorithms and Architecture (71 papers), Quantum Information and Cryptography (63 papers) and Quantum Mechanics and Applications (35 papers). John Preskill collaborates with scholars based in United States, Canada and Austria. John Preskill's co-authors include Alexei Kitaev, Peter W. Shor, Frank Wilczek, Mark B. Wise, Daniel Gottesman, Patrick Hayden, Richard Kueng, Hsin-Yuan Huang, Panos Aliferis and Andrew M. Childs and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

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.

Fields of papers citing papers by John Preskill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by John Preskill

Since Specialization
Citations

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).

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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