The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies
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Citations
Cites
Very high resolution interpolated climate surfaces for global land areas
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005) · International Journal of Climatology · doi:10.1002/joc.1276 · Cited by 19,825
Climate Change 2001: The Scientific Basis
Cooper, R. N., Houghton, J. T., McCarthy, J. J., & Metz, B. (2002) · Foreign Affairs · doi:10.2307/20033020 · Cited by 12,889
A translation approach to portable ontology specifications
Gruber, T. R. (1993) · Knowledge Acquisition · doi:10.1006/knac.1993.1008 · Cited by 12,752
Climate Change 2007: Impacts, Adaptation and Vulnerability
Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P., & Hanson, C. (2007) · Centre for Environmental Data Analysis Digital Repository (Centre for Environmental Data Analysis) · doi:10.5281/zenodo.7356334 · Cited by 9,136
The next generation of scenarios for climate change research and assessment
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., et al. (2010) · Nature · doi:10.1038/nature08823 · Cited by 6,467
Special report on emissions scenarios
Nakićenović, N., Alcamo, J., Davis, G. R., de Vries, B. J. M., Fenhann, J. V., Gaffin, S., Gregory, K., Grübler, A., Jung, T. Y., Kram, T., et al. (2000) · Cited by 6,085
The Global Land Data Assimilation System
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., et al. (2004) · Bulletin of the American Meteorological Society · doi:10.1175/bams-85-3-381 · Cited by 5,614
The NCEP Climate Forecast System Reanalysis
Saha, S., Moorthi, S., Pan, H.-L., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., et al. (2010) · Bulletin of the American Meteorological Society · doi:10.1175/2010bams3001.1 · Cited by 5,136
Climate Trends and Global Crop Production Since 1980
Lobell, D. B., Schlenker, W., & Costa-Roberts, J. (2011) · Science · doi:10.1126/science.1204531 · Cited by 4,546
The DSSAT cropping system model
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003) · European Journal of Agronomy · doi:10.1016/s1161-0301(02)00107-7 · Cited by 4,465
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Cited by
Temperature increase reduces global yields of major crops in four independent estimates
Zhao, C., Liu, B., Piao, S., Wang, X., Lobell, D. B., Huang, Y., Huang, M., Yao, Y., Bassu, S., Ciais, P., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701762114 · Cited by 3,311
Self-citationRising temperatures reduce global wheat production
Asseng, S., Ewert, F., Martre, P., Rötter, R. P., Lobell, D. B., Cammarano, D., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., et al. (2015) · Nature Climate Change · doi:10.1038/nclimate2470 · Cited by 2,491
Self-citationA meta-analysis of crop yield under climate change and adaptation
Challinor, A. J., Watson, J., Lobell, D. B., Howden, S. M., Smith, D. R., & Chhetri, N. (2014) · Nature Climate Change · doi:10.1038/nclimate2153 · Cited by 2,333
van Dijk, M., Morley, T., Rau, M. L., & Saghai, Y. (2021) · Nature Food · doi:10.1038/s43016-021-00322-9 · Cited by 2,339
Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth, A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222463110 · Cited by 2,319
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Metadata
- Authors
- Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P., Antle, J. M., Nelson, G. C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G., & Winter, J. M.
- Venue
- Agricultural and Forest Meteorology
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 170
- Pages
- 166-182
- ISSN
- 0168-1923 (ISSN-L)
- OpenAlex
- W2118604661
- Cited by
- 1,048
- References
- 99
- FWCI
- 58.49
- Type
- journal article
- Language
- en
- Open access
- green
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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: The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. https://app.cochat.ai/papers/10.1016/j.agrformet.2012.09.011
- The paper
- Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P., Antle, J. M., Nelson, G. C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G., & Winter, J. M. (2013). The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2012.09.011
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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.