The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A generalized framework for deriving nonparametric standardized drought indicators
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Cites
Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010) · Journal of Climate · doi:10.1175/2009jcli2909.1 · Cited by 9,493
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Mishra, A. K., & Singh, V. P. (2010) · Journal of Hydrology · doi:10.1016/j.jhydrol.2010.07.012 · Cited by 5,436
Adler, R. F., Huffman, G. J., Chang, A. T. C., Ferraro, R. R., Xie, P., Janowiak, J. E., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D. T., et al. (2003) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2 · Cited by 5,425
Understanding: the Drought Phenomenon: The Role of Definitions
Wilhite, D. A., & Glantz, M. H. (1985) · Water International · doi:10.1080/02508068508686328 · Cited by 3,154
Dai, A., Trenberth, K. E., & Qian, T. (2004) · Journal of Hydrometeorology · doi:10.1175/jhm-386.1 · Cited by 2,041
A Review of Twentieth-Century Drought Indices Used in the United States
Heim, R. R. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477-83.8.1149 · Cited by 2,021
The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data
Turnbull, B. W. (1976) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1976.tb01597.x · Cited by 1,828
AIRS/AMSU/HSB on the aqua mission: design, science objectives, data products, and processing systems
Aumann, H. H., Chahine, M. T., Gautier, C., Goldberg, M. D., Kalnay, E., McMillin, L. M., Revercomb, H., Rosenkranz, P. W., Smith, W. L., Staelin, D. H., et al. (2003) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2002.808356 · Cited by 1,542
ACCEPTING THE STANDARDIZED PRECIPITATION INDEX: A CALCULATION ALGORITHM1
Guttman, N. B. (1999) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1999.tb03592.x · Cited by 1,450
Cited by
Remote sensing of drought: Progress, challenges and opportunities
AghaKouchak, A., Farahmand, A., Melton, F. S., Teixeira, J., Anderson, M. C., Wardlow, B. D., & Hain, C. R. (2015) · Reviews of Geophysics · doi:10.1002/2014rg000456 · Cited by 989
Self-citationEvidence of anthropogenic impacts on global drought frequency, duration, and intensity
Chiang, F., Mazdiyasni, O., & AghaKouchak, A. (2021) · Nature Communications · doi:10.1038/s41467-021-22314-w · Cited by 689
Self-citationLi, L., She, D., Zheng, H., Lin, P., & Yang, Z.-L. (2020) · Journal of Hydrometeorology · doi:10.1175/jhm-d-19-0290.1 · Cited by 303
Impacts of climate change on cropping patterns in a tropical, sub-humid watershed
Duku, C., Zwart, S. J., & Hein, L. (2018) · PLOS ONE · doi:10.1371/journal.pone.0192642 · Cited by 66
Metadata
- Authors
- Farahmand, A., & AghaKouchak, A.
- Venue
- Advances in Water Resources
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 76
- Pages
- 140-145
- ISSN
- 0309-1708 (ISSN-L)
- OpenAlex
- W2081491062
- Cited by
- 512
- References
- 46
- FWCI
- 19.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Farahmand, A., & AghaKouchak, A. (2015). A generalized framework for deriving nonparametric standardized drought indicators. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2014.11.012
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.
