Quantum metrology with parametric amplifier-based photon correlation interferometers
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms4049 →Countries where authors are citing Quantum metrology with parametric amplifier-based photon correlation interferometers
This map shows the geographic impact of Quantum metrology with parametric amplifier-based photon correlation interferometers. 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 Quantum metrology with parametric amplifier-based photon correlation interferometers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantum metrology with parametric amplifier-based photon correlation interferometers more than expected).
Fields of papers citing Quantum metrology with parametric amplifier-based photon correlation interferometers
This network shows the impact of Quantum metrology with parametric amplifier-based photon correlation interferometers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quantum metrology with parametric amplifier-based photon correlation interferometers.
About Quantum metrology with parametric amplifier-based photon correlation interferometers
This paper, published in 2014, received 299 indexed citations . Written by Florian Hudelist, Jia Kong, Cunjin Liu, Jietai Jing, Z. Y. Ou and Weiping Zhang covering the research area of Artificial Intelligence and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (259 citations), Artificial Intelligence (203 citations) and Electrical and Electronic Engineering (70 citations). Published in Nature Communications.
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.
This paper is also available at doi.org/10.1038/ncomms4049.