The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
Resampling Methods for Computation-Intensive Data Analysis in Ecology and Evolution
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Citations
Cites
CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP
Felsenstein, J. (1985) · Evolution · doi:10.1111/j.1558-5646.1985.tb00420.x · Cited by 44,647
Biometry: The Principles and Practice of Statistics in Biological Research
Sokal, R. R., & Rohlf, F. J. (1969) · Cited by 20,963
Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
Dalapicolla, J., do Prado, J. R., Percequillo, A. R., & Knowles, L. L. (2021) · Journal of Biogeography · doi:10.1111/jbi.14281 · Cited by 11,461
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
Efron, B., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013815 · Cited by 6,033
Homage to Santa Rosalia or Why Are There So Many Kinds of Animals?
Hutchinson, G. E. (1959) · The American Naturalist · doi:10.1086/282070 · Cited by 4,138
Distance to Nearest Neighbor as a Measure of Spatial Relationships in Populations
Clark, P. J., & Evans, F. C. (1954) · Ecology · doi:10.2307/1931034 · Cited by 3,837
Some Methods for Strengthening the Common χ 2 Tests
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001616 · Cited by 3,718
The Jackknife: The Bootstrap and Other Resampling Plans.
Low, L. Y., & Efron, B. (1983) · Journal of the American Statistical Association · doi:10.2307/2288218 · Cited by 2,702
Cited by
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
Phylogenetic Analysis of Covariance by Computer Simulation
Garland, T., Dickerman, A. W., Janis, C. M., & Jones, J. A. (1993) · Systematic Biology · doi:10.1093/sysbio/42.3.265 · Cited by 1,238
RESAMPLING TESTS FOR META-ANALYSIS OF ECOLOGICAL DATA
Adams, D. C., Gurevitch, J., & Rosenberg, M. S. (1997) · Ecology · doi:10.1890/0012-9658(1997)078[1277:rtfmao]2.0.co;2 · Cited by 688
Recovery of wild large herbivores following livestock decline in a tropical Indian wildlife reserve
MADHUSUDAN, M. D. (2004) · Journal of Applied Ecology · doi:10.1111/j.0021-8901.2004.00950.x · Cited by 211
Evaluating fishery impacts using metrics of community structure
Rice, J. (2000) · ICES Journal of Marine Science · doi:10.1006/jmsc.2000.0735 · Cited by 195
Metadata
- Authors
- Crowley, P.
- Venue
- Annual Review of Ecology and Systematics
- Publisher
- Annual Reviews
- Published
- 1992-01-01
- Volume
- 23
- Issue
- 1
- Pages
- 405-447
- ISSN
- 0066-4162 (ISSN-L)
- OpenAlex
- W2172730053
- Cited by
- 417
- References
- 132
- FWCI
- 14.69
- 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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- CoChat. (2026). Citation check: Resampling Methods for Computation-Intensive Data Analysis in Ecology and Evolution. https://app.cochat.ai/papers/10.1146/annurev.ecolsys.23.1.405
- The paper
- Crowley, P. (1992). Resampling Methods for Computation-Intensive Data Analysis in Ecology and Evolution. Annual Review of Ecology and Systematics. https://doi.org/10.1146/annurev.ecolsys.23.1.405
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.
