AVS Quantum Science

198 papers and 1.7k indexed citations

About

The 198 papers published in AVS Quantum Science in the last decades have received a total of 1.7k indexed citations. Papers published in AVS Quantum Science usually cover Atomic and Molecular Physics, and Optics (165 papers), Artificial Intelligence (107 papers) and Statistical and Nonlinear Physics (25 papers) specifically the topics of Quantum Information and Cryptography (101 papers), Quantum Computing Algorithms and Architecture (52 papers) and Cold Atom Physics and Bose-Einstein Condensates (51 papers). The most active scholars publishing in AVS Quantum Science are Andrew Forbes, Isaac Nape, Sebastian Deffner, Nathan M. Myers, Obinna Abah, Carlos L. Garrido Alzar, Arnaud Landragin, Sonja Franke‐Arnold, Francesco Castellucci and Jinwen Wang.

In The Last Decade

AVS Quantum Science

160 papers receiving 1.6k citations

Fields of papers published in AVS Quantum Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in AVS Quantum Science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in AVS Quantum Science.

Countries where authors publish in AVS Quantum Science

Since Specialization
Citations

This map shows the geographic impact of research published in AVS Quantum Science. 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 papers published in AVS Quantum Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AVS Quantum Science 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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2026