Nathan S. Williams

About

Nathan S. Williams is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Nathan S. Williams has authored 5 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Atomic and Molecular Physics, and Optics and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Nathan S. Williams’s work include Quantum Information and Cryptography (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Quantum Mechanics and Applications (3 papers). Nathan S. Williams is often cited by papers focused on Quantum Information and Cryptography (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Quantum Mechanics and Applications (3 papers). Nathan S. Williams collaborates with scholars based in United States. Nathan S. Williams's co-authors include Andrew N. Jordan, David J. Starling, P. Ben Dixon, John C. Howell and Karyn Le Hur and has published in prestigious journals such as Physical Review Letters, Physical Review A and Journal of Physics A Mathematical and Theoretical.

In The Last Decade

Co-authorship network of co-authors of Nathan S. Williams i

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Fields of papers citing papers by Nathan S. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan S. Williams. 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 Nathan S. Williams. The network helps show where Nathan S. Williams may publish in the future.

Countries citing papers authored by Nathan S. Williams

Since Specialization

Citations

This map shows the geographic impact of Nathan S. Williams'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 Nathan S. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan S. Williams 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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