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Cited by 88

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Effective actions and conformal transformations

Brown, M. R., Ottewill, A. C.·1985·Physical Review D
DOI 10.1103/physrevd.31.2514
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Abstract

We give the conformal transformation law for the effective action for conformally invariant field theories on general curved space-times. It is shown that this law can be used to obtain almost all known renormalized stress tensors for such theories. It can also be used to obtain approximate renormalized stress tensors; for example, we derive as a special case Page's approximation for static Einstein space-times.

Overview

Integrity signals

Registry

Crossref · 10.1103/physrevd.31.2514

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

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Verification

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Citations

Cites

Research works printed but not linked: 1

  1. J. Hadamard, 1923, Lectures on Cauchy's Problem in Linear Partial Differential Equations

Cited by

See all 88

Metadata

Authors
Brown, M. R., & Ottewill, A. C.
Venue
Physical Review D
Publisher
American Physical Society (APS)
Published
1985-05-15
Volume
31
Issue
10
Pages
2514-2520
ISSN
0556-2821
DOI
10.1103/physrevd.31.2514
Cited by
88
References
20
Language
en
Licence
link.aps.org/licenses/aps-default-license (vor)

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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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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.