The DOI matches its Crossref record; 63 of the 65 references it cites were found in a registry or an index.
Learning about urban climate solutions from case studies
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Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The literature on city-scale mitigation strategies is also strongly biased towards the Global North [466], while key mitigation challenges are expected to arise from the Global South [570].”
From Tackling climate change with machine learning (2023) · cites this paper as [466]
Citations
Cites
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
Five misunderstandings about case-study research
Flyvbjerg, B. (2006) · Qualitative Inquiry · doi:10.1177/1077800405284363 · Cited by 14,266
Learning the parts of objects by non-negative matrix factorization
Lee, D. D., & Seung, H. S. (1999) · Nature · doi:10.1038/44565 · Cited by 14,193
World Urbanization Prospects: The 1996 Revision
Brockerhoff, M. P., & Nations, U. (1998) · Population and Development Review · doi:10.2307/2808041 · Cited by 5,900
Comparative Politics and the Comparative Method
Lijphart, A. (1971) · American Political Science Review · doi:10.2307/1955513 · Cited by 3,151
A good life for all within planetary boundaries
O’Neill, D. W., Fanning, A. L., Lamb, W. F., & Steinberger, J. K. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0021-4 · Cited by 1,452
Self-citationThe greenness of cities: Carbon dioxide emissions and urban development
Glaeser, E. L., & Kahn, M. E. (2009) · Journal of Urban Economics · doi:10.1016/j.jue.2009.11.006 · Cited by 1,257
Global Energy Assessment: Toward a Sustainable Future
Global Energy Assessment Writing Team (2012) · IIASA PURE (International Institute of Applied Systems Analysis) · Cited by 1,167
A survey of urban climate change experiments in 100 cities
Broto, V. C., & Bulkeley, H. (2013) · Global Environmental Change · doi:10.1016/j.gloenvcha.2012.07.005 · Cited by 974
A methodology for systematic mapping in environmental sciences
James, K. L., Randall, N. P., & Haddaway, N. R. (2016) · Environmental Evidence · doi:10.1186/s13750-016-0059-6 · Cited by 769
Research works printed but not linked: 3
- Romero-Lankao, P. & Hardoy, J. in The Urban Climate Challenge: Rethinking the Role of Cities in the Global Climate Regime (eds. Johnson, C., Toly, N. & Schroeder, H.) 181–204 (Routledge, London, 2015).
- Seto C., K. et al. in Climate Change 2014: Mitigation of Climate Change (eds Edenhofer, O. et al) 923–1000 (IPCC, Cambridge Univ. Press, 2014).
- IPCC: Summary for Policymakers in Special Report: Global Warming of 1.5 o C (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2018).
Cited by
Sorted by citations
A systematic global stocktake of evidence on human adaptation to climate change
Berrang‐Ford, L., Siders, A. R., Lesnikowski, A. C., Fischer, A. P., Callaghan, M., Haddaway, N., Mach, K. J., Araos, M., Shah, M. A. R., Wannewitz, M., et al. (2021) · Nature Climate Change · doi:10.1038/s41558-021-01170-y · Cited by 734
Self-citationTackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336
Self-citationLiu, H., Huang, B., Zhan, Q., Gao, S., Li, R., & Fan, Z. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102987 · Cited by 257
Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies
Callaghan, M., Schleussner, C.-F., Nath, S., Lejeune, Q., Knutson, T. R., Reichstein, M., Hansen, G., Theokritoff, E., Andrijevic, M., Brecha, R. J., et al. (2021) · Nature Climate Change · doi:10.1038/s41558-021-01168-6 · Cited by 251
Self-citationSystematic Mapping of Global Research on Climate and Health Using Machine Learning
Berrang‐Ford, L., Sietsma, A. J., Callaghan, M., Minx, J. C., Scheelbeek, P., Haddaway, N., Haines, A., & Dangour, A. D. (2020) · The Lancet Planetary Health · doi:10.1016/s2542-5196(21)00179-0 · Cited by 260
Self-citation
Metadata
- Authors
- Lamb, W. F., Creutzig, F., Callaghan, M. W., & Minx, J. C.
- Affiliations
- University of Leeds (GB)
- Mercator Research Institute on Global Commons and Climate Change (DE)
- Corresponding author
- Lamb, William F.
- Venue
- Nature Climate Change
- Published
- 2019-03-18
- Volume
- 9
- Issue
- 4
- Pages
- 279-287
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2921017284
- Cited by
- 163
- References
- 65
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 26 · 2023: 24 · 2022: 23 · 2021: 31 · 2020: 22 · 2019: 8
- FWCI
- 8.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Sustainable Development
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Keywords
- urban climate change mitigation, case studies, literature mapping, urban typology, climate policy, scientometrics, machine learning
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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