The DOI matches its Crossref record.
World Energy Outlook 2019
Overview
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Claims the paper makes
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Citations
Cited by
RCP8.5 tracks cumulative CO 2 emissions
Schwalm, C. R., Glendon, S., & Duffy, P. B. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2007117117 · Cited by 804
Anowor, O. F., Ichoku, H. E., Onodugo, V. A., Ochinanwata, C., & Uzomba, P. C. (2023) · Cogent Economics & Finance · doi:10.1080/23322039.2022.2160128 · Cited by 18
Metadata
- Authors
- International Energy Agency
- Venue
- World Energy Outlook
- Publisher
- OECD
- Published
- 2019-11-13
- ISSN
- 1026-1141 (ISSN-L)
- 2072-5302
- OpenAlex
- W4254329527
- Cited by
- 249
- References
- 0
- FWCI
- 26.56
- Type
- book
- 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.
- This page
- CoChat. (2026). Citation check: World Energy Outlook 2019. https://app.cochat.ai/papers/10.1787/caf32f3b-en
- The paper
- International Energy Agency. (2019). World Energy Outlook 2019. World Energy Outlook. https://doi.org/10.1787/caf32f3b-en
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.