Strong atom–field coupling for Bose–Einstein condensates in an optical cavity on a chip

489 indexed citations

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This paper, published in 2007, received 489 indexed citations. Written by Yves Colombe, Tilo Steinmetz, Guilhem Dubois, David Hunger and Jakob Reichel covering the research area of Atomic and Molecular Physics, and Optics and Artificial Intelligence. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (478 citations), Artificial Intelligence (302 citations) and Electrical and Electronic Engineering (99 citations). Published in Nature.

Countries where authors are citing Strong atom–field coupling for Bose–Einstein condensates in an optical cavity on a chip

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This map shows the geographic impact of Strong atom–field coupling for Bose–Einstein condensates in an optical cavity on a chip. 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 Strong atom–field coupling for Bose–Einstein condensates in an optical cavity on a chip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Strong atom–field coupling for Bose–Einstein condensates in an optical cavity on a chip more than expected).

Fields of papers citing Strong atom–field coupling for Bose–Einstein condensates in an optical cavity on a chip

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Strong atom–field coupling for Bose–Einstein condensates in an optical cavity on a chip. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Strong atom–field coupling for Bose–Einstein condensates in an optical cavity on a chip.

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/nature06331.

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