Countries where authors are citing Holographic metasurface gas sensors for instantaneous visual alarms

Specialization
Citations

This map shows the geographic impact of Holographic metasurface gas sensors for instantaneous visual alarms. 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 Holographic metasurface gas sensors for instantaneous visual alarms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holographic metasurface gas sensors for instantaneous visual alarms more than expected).

Fields of papers citing Holographic metasurface gas sensors for instantaneous visual alarms

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Holographic metasurface gas sensors for instantaneous visual alarms. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Holographic metasurface gas sensors for instantaneous visual alarms.

About Holographic metasurface gas sensors for instantaneous visual alarms

This paper, published in 2021, received 222 indexed citations . Written by Inki Kim, Kwan Kim, Muhammad Afnan Ansari, Muhammad Qasim Mehmood, Trevon Badloe, Yeseul Kim, Heon Lee, Young‐Ki Kim and Junsuk Rho covering the research area of Acoustics and Ultrasonics, Electronic, Optical and Magnetic Materials and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Electronic, Optical and Magnetic Materials (156 citations), Aerospace Engineering (86 citations) and Biomedical Engineering (71 citations). Published in Science Advances.

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/10.1126/sciadv.abe9943.

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