The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges
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Citations
Cites
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
Theory of games and economic behavior
(2019) · 100 Years of Math Milestones · doi:10.1090/mbk/121/32 · Cited by 16,632
Theory of Games and Economic Behavior
N., E., von Neumann, J., & Morgenstern, O. (1945) · The Journal of Philosophy · doi:10.2307/2019327 · Cited by 4,006
Global and Regional Scale Precipitation Patterns Associated with the El Niño/Southern Oscillation
Ropelewski, C. F., & Halpert, M. S. (1987) · Monthly Weather Review · doi:10.1175/1520-0493(1987)115<1606:garspp>2.0.co;2 · Cited by 3,674
Theory of Games and Economic Behavior
ROWLAND, E. (1946) · Nature · doi:10.1038/157172a0 · Cited by 3,280
Coping with risk in agriculture
(2004) · CABI eBooks · doi:10.1079/9780851998312.0000 · Cited by 1,362
Global Climatic Anomalies Associated with Extremes in the Southern Oscillation
Kiladis, G. N., & Diaz, H. F. (1989) · Journal of Climate · doi:10.1175/1520-0442(1989)002<1069:gcaawe>2.0.co;2 · Cited by 1,035
Agricultural Decision Analysis
Anderson, J. R., Dillon, J. L., Hardaker, B., Anderson, J. R., Dillon, J. L., & Hardaker, B. (1977) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.288652 · Cited by 812
(2000) · Routledge eBooks · Cited by 704
Agricultural Decision Analysis
Carlson, G. A. (1977) · Medical Entomology and Zoology · Cited by 604
Cited by
Crop Yield Gaps: Their Importance, Magnitudes, and Causes
Lobell, D. B., Cassman, K. G., & Field, C. B. (2009) · Annual Review of Environment and Resources · doi:10.1146/annurev.environ.041008.093740 · Cited by 1,523
The Subseasonal to Seasonal (S2S) Prediction Project Database
Vitart, F., Ardilouze, C., Bonet, A., Brookshaw, A., Chen, M., Codorean, C., Déqué, M., Ferranti, L., Fucile, E., Fuentes, M., et al. (2017) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-16-0017.1 · Cited by 1,096
Cooper, P. J. M., Dimes, J., Rao, K. P. C., Shapiro, B., Shiferaw, B., & Twomlow, S. (2008) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2008.01.007 · Cited by 870
Sultan, B., & Gaetani, M. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.01262 · Cited by 553
Design and optimisation of a large-area process-based model for annual crops
Challinor, A. J., Wheeler, T. R., Craufurd, P. Q., Slingo, J. M., & Grimes, D. I. F. (2004) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2004.01.002 · Cited by 288
Metadata
- Authors
- Hansen, J. W.
- Venue
- Agricultural Systems
- Publisher
- Elsevier BV
- Published
- 2002-12
- Volume
- 74
- Issue
- 3
- Pages
- 309-330
- ISSN
- 0308-521X (ISSN-L)
- OpenAlex
- W2157286950
- Cited by
- 371
- References
- 61
- FWCI
- 12.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges. https://app.cochat.ai/papers/10.1016/s0308-521x(02)00043-4
- The paper
- Hansen, J. W. (2002). Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges. Agricultural Systems. https://doi.org/10.1016/s0308-521x(02)00043-4
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.
