All-dielectric metasurface analogue of electromagnetically induced transparency

887 indexed citations

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This paper, published in 2014, received 887 indexed citations. Written by Yuanmu Yang, Ivan I. Kravchenko, Dayrl P. Briggs and Jason Valentine covering the research area of Electronic, Optical and Magnetic Materials, Biomedical Engineering and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Electronic, Optical and Magnetic Materials (723 citations), Biomedical Engineering (659 citations) and Atomic and Molecular Physics, and Optics (346 citations). Published in Nature Communications.

Countries where authors are citing All-dielectric metasurface analogue of electromagnetically induced transparency

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This map shows the geographic impact of All-dielectric metasurface analogue of electromagnetically induced transparency. 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 All-dielectric metasurface analogue of electromagnetically induced transparency with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites All-dielectric metasurface analogue of electromagnetically induced transparency more than expected).

Fields of papers citing All-dielectric metasurface analogue of electromagnetically induced transparency

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of All-dielectric metasurface analogue of electromagnetically induced transparency. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the All-dielectric metasurface analogue of electromagnetically induced transparency.

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/ncomms6753.

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