Advanced Quantum Technologies

788 papers and 7.3k indexed citations i.

About

The 788 papers published in Advanced Quantum Technologies in the last decades have received a total of 7.3k indexed citations. Papers published in Advanced Quantum Technologies usually cover Atomic and Molecular Physics, and Optics (567 papers), Artificial Intelligence (422 papers) and Materials Chemistry (153 papers) specifically the topics of Quantum Information and Cryptography (377 papers), Quantum Computing Algorithms and Architecture (243 papers) and Quantum Mechanics and Applications (121 papers). The most active scholars publishing in Advanced Quantum Technologies are Alán Aspuru‐Guzik, Sukin Sim, Peter D. Johnson, Alexandre Le Boité, Zu‐Jian Ying, Carmine Ortix, Yachin Ivry, Jonathan Romero, Guang‐Can Guo and Yuesheng Li.

In The Last Decade

Fields of papers published in Advanced Quantum Technologies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Advanced Quantum Technologies. 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 Advanced Quantum Technologies.

Countries where authors publish in Advanced Quantum Technologies

Since Specialization
Citations

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