The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Precedent in International Courts: A Network Analysis of Case Citations by the European Court of Human Rights
Abstract
Why and how do international courts justify decisions with citations to their own case law? We argue that, like domestic review courts, international courts use precedent at least in part to convince ‘lower’ (domestic) courts of the legitimacy of judgements. Several empirical observations are consistent with this view, which are examined through a network analysis of European Court of Human Rights (ECtHR) citations. First, the Court cites precedent based on the legal issues in the case, not the country of origin. Second, the Court is more careful to embed judgements in its existing case law when the expected value of persuading domestic judges is highest. These findings contribute to a developing literature that suggests international and domestic review courts develop their authority in similar ways.
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Cites
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Cited by
Newman, M. (2018) · doi:10.1093/oso/9780198805090.001.0001 · Cited by 2,297
The Gender Citation Gap in International Relations
Maliniak, D., Powers, R., & Walter, B. F. (2013) · International Organization · doi:10.1017/s0020818313000209 · Cited by 718
Using machine learning to predict decisions of the European Court of Human Rights
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Metadata
- Authors
- Lupu, Y., & Voeten, E.
- Venue
- British Journal of Political Science
- Publisher
- Cambridge University Press (CUP)
- Published
- 2011-12-16
- Volume
- 42
- Issue
- 2
- Pages
- 413-439
- ISSN
- 0007-1234 (ISSN-L)
- 1469-2112
- OpenAlex
- W2111848785
- Cited by
- 256
- References
- 48
- FWCI
- 108.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lupu, Y., & Voeten, E. (2012). Precedent in International Courts: A Network Analysis of Case Citations by the European Court of Human Rights. British Journal of Political Science. https://doi.org/10.1017/s0007123411000433
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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.
