Thirty years of climate change research: A fine-grained analysis of geographical specialization
Open accessAbstract
Bibliometric overviews of climate change research typically focus on the main topical trends and few countries with the largest share of the scientific production. These are important limitations: most of the world’s population live in countries that are heavily affected by climate change but have a relatively small scientific production, so that their topics of interest might be neglected. This contribution aims to address both limitations by investigating variations across countries in climate change research specialization. We employ a combination of state-of-the-art language modelling techniques to gain a fine-grained representation of the research topics on climate change, considering abstracts of 193,471 publications from 1990 to 2020. The analysis reveals the existence of five major country blocks, with distinct research specializations. Countries’ research specialization is driven by the specific challenges posed by climate change, such as extreme precipitation and floods and food, as well as the level of resources at disposal, so that research into the phenomenon of climate change and its global solutions is more important in affluent western countries. Less affluent countries – which host several billion people – develop distinct research focuses on local problems’ causes and mitigation strategies, but typically have limited resources to address these challenges. Hence, leading scientific countries should possibly contribute even more to addressing such issues.
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Western climatologists now pay attention to regions historically neglected.
“it shows in the attention that Western climatologists now pay to regions historically neglected (74).”
From How should the advancement of large language models affect the practice of science? (2025) · cites this paper as [74]
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Cites
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567 · see citing works
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reimers, N., & Gurevych, I. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · doi:10.18653/v1/d19-1410 · Cited by 12,778 · see citing works
UMAP: Uniform Manifold Approximation and Projection
McInnes, L., Healy, J., Saul, N., & Großberger, L. (2018) · Journal of Open Source Software · doi:10.21105/joss.00861 · Cited by 9,826 · see citing works
The structure of scientific collaboration networks
Newman, M. E. J. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.404 · Cited by 4,550 · see citing works
hdbscan: Hierarchical density based clustering
McInnes, L., Healy, J., & Astels, S. (2017) · The Journal of Open Source Software · doi:10.21105/joss.00205 · Cited by 2,833 · see citing works
Density-Based Clustering Based on Hierarchical Density Estimates
Campello, R. J. G. B., Moulavi, D., & Sander, J. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-37456-2_14 · Cited by 2,680 · see citing works
Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation
Schilling, M. A., & Phelps, C. (2007) · Management Science · doi:10.1287/mnsc.1060.0624 · Cited by 1,557 · see citing works
BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Grootendorst, M. (2022) · arXiv · doi:10.48550/arxiv.2203.05794 · Cited by 1,423 · see citing works
Global hotspots and correlates of emerging zoonotic diseases
Allen, T., Murray, K. A., Zambrana-Torrelio, C., Morse, S. S., Rondinini, C., Di Marco, M., Breit, N., Olival, K. J., & Daszak, P. (2017) · Nature Communications · doi:10.1038/s41467-017-00923-8 · Cited by 1,124 · see citing works
The Intellectual and Social Organization Of the Sciences
Whitley, R. (2000) · doi:10.1093/oso/9780199240531.001.0001 · Cited by 1,076 · see citing works
Janssen, M. A., Schoon, M., Ke, W., & Börner, K. (2006) · Global Environmental Change · doi:10.1016/j.gloenvcha.2006.04.001 · Cited by 574 · see citing works
Collaboration: Strength in diversity
Freeman, R. B., & Huang, W. W. (2014) · Nature · doi:10.1038/513305a · Cited by 349 · see citing works
Climate Change Research in View of Bibliometrics
Haunschild, R., Bornmann, L., & Marx, W. (2016) · PLOS ONE · doi:10.1371/journal.pone.0160393 · Cited by 341 · see citing works
Climate change experiences raise environmental concerns and promote Green voting
Hoffmann, R., Muttarak, R., Peisker, J., & Stanig, P. (2022) · Nature Climate Change · doi:10.1038/s41558-021-01263-8 · Cited by 323 · see citing works
Bibliometric analysis of global environmental assessment research in a 20-year period
Li, W., & Zhao, Y. W. (2014) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2014.09.012 · Cited by 306 · see citing works
Wang, B., Pan, S.-Y., Ke, R.-Y., Wang, K., & Wei, Y. (2014) · Natural Hazards · doi:10.1007/s11069-014-1260-y · Cited by 306 · see citing works
Fang, X., Li, J., & Ma, Q. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104843 · Cited by 270 · see citing works
A bibliometric analysis of climate change adaptation based on massive research literature data
Wang, Z., Zhao, Y., & Wang, B. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.06.183 · Cited by 230 · see citing works
Reduced exposure to extreme precipitation from 0.5 °C less warming in global land monsoon regions
Zhang, W., Zhou, T., Zou, L., Zhang, L., & Chen, X. (2018) · Nature Communications · doi:10.1038/s41467-018-05633-3 · Cited by 220 · see citing works
A topography of climate change research
Callaghan, M., Minx, J. C., & Forster, P. M. D. F. (2020) · Nature Climate Change · doi:10.1038/s41558-019-0684-5 · Cited by 185 · see citing works
Understanding scientific collaboration: Homophily, transitivity, and preferential attachment
Zhang, C., Bu, Y., Ding, Y., & Xu, J. (2017) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23916 · Cited by 169 · see citing works
Disaster and climate change resilience: A bibliometric analysis
Rana, I. A. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101839 · Cited by 158 · see citing works
Iorio, R., Labory, S., & Rentocchini, F. (2017) · Research Policy · doi:10.1016/j.respol.2016.12.003 · Cited by 147 · see citing works
<i>The Sociology of Science: Theoretical and Empirical Investigation</i>
Merton, R. K., & Shapere, D. (1974) · Physics Today · doi:10.1063/1.3128814 · Cited by 129 · see citing works
Wlodarczyk, V., Pinabiaux, C., & Goumi, A. (2026) · HAL (Le Centre pour la Communication Scientifique Directe) · doi:10.1146/annurev · Cited by 125 · see citing works
Aleixandre‐Benavent, R., Aleixandre-Tudó, J. L., Castelló‐Cogollos, L., & Aleixandre, J. L. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.01.112 · Cited by 123 · see citing works
A large-scale bibliometric analysis of global climate change research between 2001 and 2018
Fu, H., & Waltman, L. (2022) · Climatic Change · doi:10.1007/s10584-022-03324-z · Cited by 119 · see citing works
Collaboration in computer science: A network science approach
Franceschet, M. (2011) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21614 · Cited by 110 · see citing works
Climate change and carbon sink: a bibliometric analysis
Huang, L. S., Chen, K., & Zhou, M. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-07489-6 · Cited by 97 · see citing works
Exploring the impact of the IPCC Assessment Reports on science
Vasileiadou, E., Heimeriks, G. J., & Petersen, A. C. (2011) · Environmental Science & Policy · doi:10.1016/j.envsci.2011.07.002 · Cited by 87 · see citing works
A quantitative analysis of the causes of the global climate change research distribution
Pasgaard, M., & Strange, N. (2013) · Global Environmental Change · doi:10.1016/j.gloenvcha.2013.08.013 · Cited by 84 · see citing works
The current status of climate change research
Grieneisen, M. L., & Zhang, M. (2011) · Nature Climate Change · doi:10.1038/nclimate1093 · Cited by 69 · see citing works
The Higher Education System: Academic Organization in Cross-National Perspective
McPherson, M. S., & Clark, B. R. (1984) · Journal of Policy Analysis and Management · doi:10.2307/3324285 · Cited by 66 · see citing works
What drives local climate change adaptation? A qualitative comparative analysis
Braunschweiger, D., & Ingold, K. M. (2023) · Environmental Science & Policy · doi:10.1016/j.envsci.2023.03.013 · Cited by 50 · see citing works
Explaining international collaboration in global environmental change research
Jappe, A. (2007) · Scientometrics · doi:10.1007/s11192-007-1676-1 · Cited by 42 · see citing works
A Global Flood Risk Modeling Framework Built With Climate Models and Machine Learning
Carozza, D. A., & Boudreault, M. (2021) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2020ms002221 · Cited by 39 · see citing works
Engels, A., & Ruschenburg, T. (2008) · Science and Public Policy · doi:10.3152/030234208x317160 · Cited by 37 · see citing works
Enhancing the review process in global environmental assessments: The case of the IPCC
Palutikof, J. P., Boulter, S., Field, C. B., Mach, K. J., Manning, M., Mastrandrea, M. D., Meyer, L., Minx, J. C., Pereira, J. J., Plattner, G., et al. (2022) · Environmental Science & Policy · doi:10.1016/j.envsci.2022.10.012 · Cited by 25 · see citing works
Jankó, F., Móricz, N., & Vancsó, J. P. (2014) · Geoforum · doi:10.1016/j.geoforum.2014.06.004 · Cited by 24 · see citing works
Hellsten, I., & Leydesdorff, L. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23528 · Cited by 23 · see citing works
Highly dynamic specialities in climate research
Schwechheimer, H., & Winterhager, M. (1999) · Scientometrics · doi:10.1007/bf02458495 · Cited by 20 · see citing works
Jankó, F., Vancsó, J. P., & Móricz, N. (2017) · Scientometrics · doi:10.1007/s11192-017-2440-9 · Cited by 18 · see citing works
Li, F., Zhou, H., Huang, D., & Guan, P. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17145228 · Cited by 18 · see citing works
Climate change and global warming : A scientometric study
Sangam, S. L., & Savitha, K. S. (2019) · Collnet Journal of Scientometrics and Information Management · doi:10.1080/09737766.2019.1598001 · Cited by 16 · see citing works
Sormani, E., & Uude, K. (2022) · Science and Public Policy · doi:10.1093/scipol/scac042 · Cited by 9 · see citing works
Barbero (2014) · doi:10.1016/j · Cited by 1 · see citing works
(2018) · Digital Commons@Becker (Washington University School of Medicine) · doi:10.1371/journal
Flagged first, then by citations
Research works printed but not linked: 4
- Belter, C.W., Seidel, D.J., 2013. A bibliometric analysis of climate engineering research: bibliometric analysis of climate engineering research. Wiley Interdiscip. Rev.: Clim. Change 4 (5), 417 -427. https://doi.org/10.1002/wcc.229. · DOI
- IPCC (2023). Climate Change 2023: Synthesis Report . A Report of the Intergovernmental Panel on Climate Change. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland, (in press).
- Stanhill, G., 2001. The growth of climate change. Sci.: A Scientometr. Study 10. http://refhub.elsevier.com/S1462-9011(2300312-X/sbref36)
- Stephan, P.E., 1996. The economics of science. J. Econ. Lit. 34 (3), 1199 -1235. 〈 https://www.jstor.org/stable/2729500 〉 .
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- Authors
- Debernardi, C., Seeber, M., & Cattaneo, M.
- Affiliations
- University of Milan (IT)
- University of Agder (NO)
- University of Bergamo (IT)
- Corresponding author
- Debernardi, Carlo
- Venue
- Environmental Science & Policy
- Publisher
- Elsevier BV
- Published
- 2024-02
- Volume
- 152
- Pages
- 103663
- ISSN
- 1462-9011 (ISSN-L)
- OpenAlex
- W4390382583
- Cited by
- 18
- References
- 44
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 1
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Environmental Science & Policy (publishedVersion, cc-by)
- Aisberg (University of Bergamo) (submittedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Keywords
- climate change research, research topics, research output by country, language modeling, climate change mitigation, food security, Global South, international research collaboration
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