Multi-functional dielectric elastomer artificial muscles for soft and smart machines

533 indexed citations

Abstract

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This paper, published in 2012, received 533 indexed citations. Written by Iain A. Anderson, Todd Gisby, Thomas G. McKay, Benjamin O’Brien and Emilio P. Calius covering the research area of Materials Chemistry and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (508 citations), Mechanical Engineering (162 citations) and Materials Chemistry (144 citations). Published in Journal of Applied Physics.

Countries where authors are citing Multi-functional dielectric elastomer artificial muscles for soft and smart machines

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This map shows the geographic impact of Multi-functional dielectric elastomer artificial muscles for soft and smart machines. 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 Multi-functional dielectric elastomer artificial muscles for soft and smart machines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multi-functional dielectric elastomer artificial muscles for soft and smart machines more than expected).

Fields of papers citing Multi-functional dielectric elastomer artificial muscles for soft and smart machines

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Multi-functional dielectric elastomer artificial muscles for soft and smart machines. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multi-functional dielectric elastomer artificial muscles for soft and smart machines.

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/10.1063/1.4740023.

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