Ryan LaRose

17 papers and 751 indexed citations i.

About

Ryan LaRose is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Ryan LaRose has authored 17 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Atomic and Molecular Physics, and Optics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Ryan LaRose’s work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (14 papers) and Neural Networks and Reservoir Computing (5 papers). Ryan LaRose is often cited by papers focused on Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (14 papers) and Neural Networks and Reservoir Computing (5 papers). Ryan LaRose collaborates with scholars based in United States, Spain and France. Ryan LaRose's co-authors include Brian Coyle, Łukasz Cincio, Patrick J. Coles, Andrea Mari, William J. Zeng, Yousef Hindy, M. Cerezo, Yiğit Subaşı, Carlos Bravo-Prieto and Sumeet Khatri and has published in prestigious journals such as Physical review. A, Physical review. C and npj Quantum Information.

In The Last Decade

Co-authorship network of co-authors of Ryan LaRose i

Fields of papers citing papers by Ryan LaRose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan LaRose. 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 Ryan LaRose. The network helps show where Ryan LaRose may publish in the future.

Countries citing papers authored by Ryan LaRose

Since Specialization
Citations

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