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The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

Theory, technology and applications of piezoresistive sensors: A review

Fiorillo, A.S., Critello, C.D., Pullano, S.A.·2018·Sensors and Actuators A: Physical

Abstract

Abstract Sensors based on the detection of small resistance variations are universally recognized as piezoresistive. Being one of the simplest, most common and most investigated classes of sensors, continuous efforts are focused on creating improved devices with higher performance that can be used in many commercial and non–commercial applications (e.g. evaluation of strain, pressure, acceleration, force etc.). Consequently, despite the fact that more than 150 years have passed since the discovery of the piezoresistive effect in some classes of metals and semiconductors, the development of such sensors remains interesting and topical. Moreover, with the advent of second–generation robotics, research on piezoresistive sensors has undergone a massive increase. This paper aims to be a short, self–consistent vademecum which would be useful to researchers and engineers, since it focuses on the fundamentals of theory, materials, and readout–circuit design pertinent to the most recent developments in the field of piezoresistive sensors.

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Metadata

Authors
Fiorillo, A. S., Critello, C. D., & Pullano, S. A.
Venue
Sensors and Actuators A: Physical
Publisher
Elsevier BV
Published
2018-10
Volume
281
Pages
156-175
ISSN
0924-4247 (ISSN-L)
OpenAlex
W2869467597
Cited by
591
References
109
FWCI
11.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Theory, technology and applications of piezoresistive sensors: A review. https://app.cochat.ai/papers/10.1016/j.sna.2018.07.006
The paper
Fiorillo, A. S., Critello, C. D., & Pullano, S. A. (2018). Theory, technology and applications of piezoresistive sensors: A review. Sensors and Actuators A: Physical. https://doi.org/10.1016/j.sna.2018.07.006

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.