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The dielectric properties of biological tissues: I. Literature survey
Open accessAbstract
The dielectric properties of tissues have been extracted from the literature of the past five decades and presented in a graphical format. The purpose is to assess the current state of knowledge, expose the gaps there are and provide a basis for the evaluation and analysis of corresponding data from an on-going measurement programme.
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Citations
Cited by
Gabriel, S., Lau, R. W., & Gabriel, C. (1996) · Physics in Medicine and Biology · doi:10.1088/0031-9155/41/11/003 · Cited by 4,175
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Metadata
- Authors
- Gabriel, C., Gabriel, S., & Corthout, E.
- Venue
- Physics in Medicine and Biology
- Publisher
- IOP Publishing
- Published
- 1996-11-01
- Volume
- 41
- Issue
- 11
- Pages
- 2231-2249
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W2058871194
- Cited by
- 3,156
- References
- 0
- FWCI
- 15.53
- Type
- journal article
- Language
- en
- Open access
- bronze
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: The dielectric properties of biological tissues: I. Literature survey. https://app.cochat.ai/papers/10.1088/0031-9155/41/11/001
- The paper
- Gabriel, C., Gabriel, S., & Corthout, E. (1996). The dielectric properties of biological tissues: I. Literature survey. Physics in Medicine and Biology. https://doi.org/10.1088/0031-9155/41/11/001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
