Carbon Nanotube Sensors for Gas and Organic Vapor Detection

1.5k indexed citations

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This paper, published in 2003, received 1.5k indexed citations. Written by Yijiang Lu, Ye Qi, Martin Cinke, Jie Han and M. Meyyappan covering the research area of Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Electrical and Electronic Engineering (1.0k citations), Materials Chemistry (874 citations) and Biomedical Engineering (682 citations). Published in Nano Letters.

Countries where authors are citing Carbon Nanotube Sensors for Gas and Organic Vapor Detection

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This map shows the geographic impact of Carbon Nanotube Sensors for Gas and Organic Vapor Detection. 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 Carbon Nanotube Sensors for Gas and Organic Vapor Detection with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carbon Nanotube Sensors for Gas and Organic Vapor Detection more than expected).

Fields of papers citing Carbon Nanotube Sensors for Gas and Organic Vapor Detection

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Carbon Nanotube Sensors for Gas and Organic Vapor Detection. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Carbon Nanotube Sensors for Gas and Organic Vapor Detection.

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/10.1021/nl034220x.

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