The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
FEAR: A software package for frontier efficiency analysis with R
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Citations
Cites
A Procedure for Ranking Efficient Units in Data Envelopment Analysis
Andersen, P., & Petersen, N. C. (1993) · Management Science · doi:10.1287/mnsc.39.10.1261 · Cited by 3,692
Cited by
Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives
Simar, L., & Wilson, P. W. (2013) · Foundations and Trends in Econometrics · doi:10.1561/0800000020 · Cited by 382
Self-citationMeasuring corporate sustainability performance–the case of European food and beverage companies
Engida, T. G., Rao, X., Berentsen, P. B. M., & Oude Lansink, A. G. J. M. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.05.095 · Cited by 82
Metadata
- Authors
- Wilson, P. W.
- Venue
- Socio-Economic Planning Sciences
- Publisher
- Elsevier BV
- Published
- 2008-12
- Volume
- 42
- Issue
- 4
- Pages
- 247-254
- ISSN
- 0038-0121 (ISSN-L)
- OpenAlex
- W2010798325
- Cited by
- 476
- References
- 1
- FWCI
- 20.51
- Type
- journal article
- Language
- en
- Open access
- closed
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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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: FEAR: A software package for frontier efficiency analysis with R. https://app.cochat.ai/papers/10.1016/j.seps.2007.02.001
- The paper
- Wilson, P. W. (2008). FEAR: A software package for frontier efficiency analysis with R. Socio-Economic Planning Sciences. https://doi.org/10.1016/j.seps.2007.02.001
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.
