Cited by 3,359Climate Change Policy and EconomicsSustainability and Climate Change GovernanceClimate variability and models

The DOI matches its Crossref record, with a small difference in title or year; 79 of the 84 references it cites were found in a registry or an index.

The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century

Open access

O’Neill, Brian C., Kriegler, Elmar, Ebi, Kristie L., Kemp-Benedict, Eric, Riahi, Keywan, Rothman, Dale S., van Ruijven, Bas J., van Vuuren, Detlef P., Birkmann, Joern, Kok, Kasper, Levy, Marc, Solecki, William·2017·Global Environmental Change

DOI 10.1016/j.gloenvcha.2015.01.004

Open this paper in CoChat — free account Open PDF

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/j.gloenvcha.2015.01.004

Cites

79 of 79 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Capital in the Twenty-First Century
Piketty, T. (2014) · doi:10.4159/9780674369542 · Cited by 14,437
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Toward a New Conception of the Environment-Competitiveness Relationship
Porter, M. E., & Linde, C. V. D. (1995) · Journal of Economic Perspectives · doi:10.1257/jep.9.4.97 · Cited by 13,365
The representative concentration pathways: an overview
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., et al. (2011) · Climatic Change · doi:10.1007/s10584-011-0148-z · Cited by 7,741
Self-citation
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
Self-citation
Special report on emissions scenarios
Nakićenović, N., Alcamo, J. M., Davis, G. F., de Vries, B. J. M., Fenhann, J. V., Gaffin, S. R., Gregory, K., Griibler, A., Jung, T. Y., Kram, T., et al. (2000) · eScholarship (California Digital Library) · Cited by 3,423
Self-citation
The Moral Foundations of Trust
Uslaner, E. M. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614934 · Cited by 2,878
A new scenario framework for climate change research: the concept of shared socioeconomic pathways
O’Neill, B. C., Kriegler, E., Riahi, K., Ebi, K. L., Hallegatte, S., Carter, T. R., Mathur, R., & van Vuuren, D. P. (2014) · Climatic Change · doi:10.1007/s10584-013-0905-2 · Cited by 2,716
Self-citation
Top Incomes in the Long Run of History
Atkinson, A. B., Piketty, T., & Saez, E. (2011) · Journal of Economic Literature · doi:10.1257/jel.49.1.3 · Cited by 2,362
The Moral Foundations of TrustPreprint
Uslaner, E. M. (2005) · SSRN Electronic Journal · doi:10.2139/ssrn.824504 · Cited by 2,069

Flagged first, then by citations

Show all 84 references

5 of the 84 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

Jiang, 2014, Urbanization projections for the shared socioeconomic pathways, Global Environ. Change

Sorted by citations

Items 601–700 of 1,004

Characterizing the role of socioeconomic pathways in shaping future urban heat-related challenges
Rohat, G., Wilhelmi, O. V., Flacke, J., Monaghan, A. J., Gao, J., Dao, H., & van Maarseveen, M. F. A. M. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.133941 · Cited by 48
Climate change, water, and human health research in the Arctic
Harper, S. L., Wright, C. J., Masina, S., & Coggins, S. (2020) · Water Security · doi:10.1016/j.wasec.2020.100062 · Cited by 49
The 2021 SSP scenarios of the IMAGE 3.2 modelPreprint
van Vuuren, D. P., Stehfest, E., Gernaat, D., de Boer, H. S., Daioglou, V., Doelman, J., Edelenbosch, O. Y., Harmsen, M. J. H. M., van Zeist, W., van den Berg, M., et al. (2021) · doi:10.31223/x5cg92 · Cited by 49
Assessing urban heat-related adaptation strategies under multiple futures for a major U.S. city
Rohat, G., Wilhelmi, O. V., Flacke, J., Monaghan, A. J., Gao, J., van Maarseveen, M. F. A. M., & Dao, H. (2021) · Climatic Change · doi:10.1007/s10584-021-02990-9 · Cited by 48
Modelling Human-Fire Interactions: Combining Alternative Perspectives and Approaches
Ford, A. E. S., Harrison, S. P., Kountouris, Y., Millington, J. D. A., Mistry, J., Perkins, O., Rabin, S. S., Rein, G., Schreckenberg, K., Smith, C., et al. (2021) · Frontiers in Environmental Science · doi:10.3389/fenvs.2021.649835 · Cited by 51
Integrated spatial planning for biodiversity conservation and food production
Fastré, C., van Zeist, W., Watson, J. E. M., & Visconti, P. (2021) · One Earth · doi:10.1016/j.oneear.2021.10.014 · Cited by 50
Quantifying uncertainty in aggregated climate change risk assessments
Harrington, L. J., Schleussner, C., & Otto, F. E. L. (2021) · Nature Communications · doi:10.1038/s41467-021-27491-2 · Cited by 47
Short- and long-term warming effects of methane may affect the cost-effectiveness of mitigation policies and benefits of low-meat diets
Domínguez, I. P., del Prado, A., Mittenzwei, K., Hristov, J., Frank, S., Tabeau, A., Witzke, P., Havlík, P., van Meijl, H., Lynch, J., et al. (2021) · Nature Food · doi:10.1038/s43016-021-00385-8 · Cited by 48
East African population exposure to precipitation extremes under 1.5 °C and 2.0 °C warming levels based on CMIP6 models
Ayugi, B. O., Jiang, Z., Iyakaremye, V., Ngoma, H., Babaousmail, H., Onyutha, C., Dike, V. N., Mumo, R., & Ongoma, V. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac5d9d · Cited by 48
Delimiting China's Urban Growth Boundaries Under Localized Shared Socioeconomic Pathways and Various Urban Expansion Modes
Huang, M., Wang, Z., Pan, X., Gong, B., Tu, M., & Liu, Z. (2022) · Earth s Future · doi:10.1029/2021ef002572 · Cited by 48
Global investment gap in agricultural research and innovation to meet Sustainable Development Goals for hunger and Paris Agreement climate change mitigation
Rosegrant, M. W., Sulser, T. B., & Wiebe, K. (2022) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2022.965767 · Cited by 51
Hydrological modeling of spatial and temporal variations in streamflow due to multiple climate change scenarios in northwestern Morocco
Acharki, S., Taia, S., Arjdal, Y., & Hack, J. (2023) · Climate Services · doi:10.1016/j.cliser.2023.100388 · Cited by 49
Changes in vegetation greenness and its response to precipitation seasonality in Central Asia from 1982 to 2022
Su, Y., Chen, S., Li, X., Ma, S., Xie, T., Wang, J., Yan, D., Chen, J., Feng, M., & Chen, F. (2023) · Environmental Research Letters · doi:10.1088/1748-9326/acf58e · Cited by 49
African food system and biodiversity mainly affected by urbanization via dietary shifts
Vos, K. D., Janssens, C., Jacobs, L., Campforts, B., Boere, E., Kozicka, M., Leclère, D., Havlík, P., Hemerijckx, L., Rompaey, A. V., et al. (2024) · Nature Sustainability · doi:10.1038/s41893-024-01362-2 · Cited by 48
Projected regional changes in mean and extreme precipitation over Africa in CMIP6 models
Bobde, V., Akinsanola, A. A., Folorunsho, A. H., Adebiyi, A. A., & Adeyeri, O. E. (2024) · Environmental Research Letters · doi:10.1088/1748-9326/ad545c · Cited by 48
Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms
Janizadeh, S., Kim, D., Jun, C., Bateni, S. M., Pandey, M. K., & Mishra, V. N. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.121764 · Cited by 48
Regional responses to future, demand-driven water scarcity
Cui, R. Y., Calvin, K., Clarke, L., Hejazi, M. I., Kim, S. H., Kyle, P. G., Patel, P., Turner, S. W. D., & Wise, M. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aad8f7 · Cited by 48
The future depends on what we do today – Projecting Europe's surface water quality into three different future scenarios
Mack, L., Andersen, H. E., Beklioğlu, M., Bucak, T., Couture, R., Cremona, F., Ferreira, M. T., Hutchins, M. G., Mischke, U., Molina‐Navarro, E., et al. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.02.251 · Cited by 48
Contested energy futures, conflicted rewards? Examining low-carbon transition risks and governance dynamics in China's built environment
Song, L., Lieu, J., Νίκας, Α., Arsenopoulos, A., Vasileiou, G., & Doukas, H. (2019) · Energy Research & Social Science · doi:10.1016/j.erss.2019.101306 · Cited by 50
Beyond land-use intensity: Assessing future global crop productivity growth under different socioeconomic pathways
Wang, X., Dietrich, J. P., Lotze‐Campen, H., Biewald, A., Stevanović, M., Bodirsky, B. L., Brümmer, B., & Popp, A. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120208 · Cited by 46
An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways
Chen, Y. (2021) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2021.101727 · Cited by 48
Natural variability vs forced signal in the 2015–2019 Central American drought
Pascale, S., Kapnick, S., Delworth, T., Hidalgo, H., & Cooke, W. (2021) · Climatic Change · doi:10.1007/s10584-021-03228-4 · Cited by 46
Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin
Zhang, S., Zhong, Q., Cheng, D., Xu, C., Chang, Y., Lin, Y., & Li, B. (2022) · Land · doi:10.3390/land11020222 · Cited by 48
Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations
Dike, V. N., Lin, Z., Fei, K., Langendijk, G. S., & Nath, D. (2022) · International Journal of Climatology · doi:10.1002/joc.7641 · Cited by 47
On Growth Projections in the Shared Socioeconomic Pathways
Buhaug, H., & Vestby, J. (2019) · Global Environmental Politics · doi:10.1162/glep_a_00525 · Cited by 47
Integrating Stakeholder Views and System Dynamics to Assess the Water–Energy–Food Nexus in Andalusia
González-Rosell, A., Blanco, M., & Arfa, I. (2020) · Water · doi:10.3390/w12113172 · Cited by 47
Ambient fine particulate matter and ozone pollution in China: synergy in anthropogenic emissions and atmospheric processes
Jiang, Y., Wang, S., Xing, J., Zhao, B., Li, S., Chang, X., Zhang, S., & Dong, Z. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/aca16a · Cited by 49
Climate risks and vulnerabilities of the Arabica coffee in Brazil under current and future climates considering new CMIP6 models
Dias, C. G., Martins, F. B., & Martins, M. A. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167753 · Cited by 47
Higher Antarctic ice sheet accumulation and surface melt rates revealed at 2 km resolution
Noel, B. P. Y., van Wessem, J. M., Wouters, B., Trusel, L. D., Lhermitte, S., & van den Broeke, M. R. (2023) · Nature Communications · doi:10.1038/s41467-023-43584-6 · Cited by 47
Large‐scale impact of climate change vs. land‐use change on future biome shifts in Latin America
Boit, A., Sakschewski, B., Boysen, L. R., Cano‐Crespo, A., Clement, J., Alaniz, N. G., Kok, K. I., Kolb, M., Langerwisch, F., Rammig, A., et al. (2016) · Global Change Biology · doi:10.1111/gcb.13355 · Cited by 52
Self-citation
Building equity in: strategies for integrating equity into modelling for a 1.5°C world
Klinsky, S., & Winkler, H. (2018) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2016.0461 · Cited by 61
Dynamic adaptive pathways in downscaled climate change scenarios
Cradock-Henry, N. A., Frame, B., Preston, B. L., Reisinger, A. R., & Rothman, D. S. (2018) · Climatic Change · doi:10.1007/s10584-018-2270-7 · Cited by 51
Self-citation
Greenhouse gas implications of mobilizing agricultural biomass for energy: a reassessment of global potentials in 2050 under different food-system pathways
Kalt, G., Lauk, C., Mayer, A., Theurl, M. C., Kaltenegger, K., Winiwarter, W., Erb, K., Matej, S., & Haberl, H. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab6c2e · Cited by 51
The importance of stakeholders in scoping risk assessments—Lessons from low-carbon transitions
van Vliet, O. P. R., Hanger-Kopp, S., Νίκας, Α., Spijker, E., Carlsen, H., Doukas, H., & Lieu, J. (2020) · Environmental Innovation and Societal Transitions · doi:10.1016/j.eist.2020.04.001 · Cited by 49
Spatial prioritization for biodiversity conservation in a megadiverse country
Mendoza‐Ponce, A., Corona-Núñez, R. O., Kraxner, F., & Estrada, F. (2020) · Anthropocene · doi:10.1016/j.ancene.2020.100267 · Cited by 49
How will land degradation neutrality change future land system patterns? A scenario simulation study
Schulze, K., Malek, Ž., & Verburg, P. H. (2021) · Environmental Science & Policy · doi:10.1016/j.envsci.2021.06.024 · Cited by 50
Implications of Climate Targets on Oil Production and Fiscal Revenues in Latin America and the Caribbean
M., O. E. M., Vogt‐Schilb, A., Rodríguez, B. S., Pye, S., Li, P., & Ekins, P. (2019) · doi:10.18235/0001802 · Cited by 54
Application of ensemble machine learning model in downscaling and projecting climate variables over different climate regions in Iran
Asadollah, S. B. H. S., Sharafati, A., & Shahid, S. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16964-y · Cited by 46
Prediction of the future landslide susceptibility scenario based on LULC and climate projections
Tyagi, A., Tiwari, R. K., & James, N. (2023) · Landslides · doi:10.1007/s10346-023-02088-6 · Cited by 46
Global insect herbivory and its response to climate change
Liu, M., Jiang, P., Chase, J. M., & Liu, X. (2024) · Current Biology · doi:10.1016/j.cub.2024.04.062 · Cited by 50
Reactive nitrogen losses from China's food system for the shared socioeconomic pathways (SSPs)
Wang, M., Kroeze, C., Strokal, M., & Ma, L. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.06.235 · Cited by 47
Population exposed to drought under the 1.5 °C and 2.0 °C warming in the Indus River Basin
Wen, S., Wang, A., Tao, H., Malik, K., Huang, J., Zhai, J., Jing, C., Rasul, G., & Su, B. (2018) · Atmospheric Research · doi:10.1016/j.atmosres.2018.12.003 · Cited by 46
Linking narratives and energy system modelling in transport scenarios: A participatory perspective from Denmark
Venturini, G., Hansen, M., & Andersen, P. D. (2019) · Energy Research & Social Science · doi:10.1016/j.erss.2019.01.019 · Cited by 46
Impact of environmental changes and human activities on bacterial diversity of lakes
Islam, M. M. M., Shafi, S., Bandh, S. A., & Shameem, N. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-817495-1.00003-7 · Cited by 46
How food secure are the green, rocky and middle roads: food security effects in different world development paths
van Meijl, H., Tabeau, A., Stehfest, E., Doelman, J., & Lucas, P. (2020) · Environmental Research Communications · doi:10.1088/2515-7620/ab7aba · Cited by 48
Distributional consequences of climate change impacts on residential energy demand across Italian households
Campagnolo, L., & Cian, E. D. (2022) · Energy Economics · doi:10.1016/j.eneco.2022.106020 · Cited by 50
How do energy systems model and scenario studies explicitly represent socio-economic, political and technological disruption and discontinuity? Implications for policy and practitioners
Hanna, R. F., & Gross, R. (2020) · Energy Policy · doi:10.1016/j.enpol.2020.111984 · Cited by 45
Differences in multi‐model ensembles of CMIP5 and CMIP6 projections for future droughts in South Korea
Song, Y. H., Shahid, S., & Chung, E. (2022) · International Journal of Climatology · doi:10.1002/joc.7386 · Cited by 45
Polar amplification comparison among Earth’s three poles under different socioeconomic scenarios from CMIP6 surface air temperature
Xie, A., Zhu, J., Kang, S., Qin, X., Xu, B., & Wang, Y. (2022) · Scientific Reports · doi:10.1038/s41598-022-21060-3 · Cited by 45
Integrating ex-ante and prospective life-cycle assessment for advancing the environmental impact analysis of emerging bio-based technologies
de Souza, N. R. D., Matt, L., Sedrik, R., Vares, L., & Cherubini, F. (2023) · Sustainable Production and Consumption · doi:10.1016/j.spc.2023.11.002 · Cited by 46
An economy-wide impacts of multiple mitigation pathways toward carbon neutrality in China: A CGE-based analysis
Jiang, H.-D., Pradhan, B. K., Dong, K. Y., Yu, Y.-Y., & Liang, Q. (2023) · Energy Economics · doi:10.1016/j.eneco.2023.107220 · Cited by 47
Mapping land use changes resulting from biofuel production and the effect of mitigation measures
van der Hilst, F., Verstegen, J. A., Woltjer, G. B., SMEETS, E. M. W., & Faaij, A. P. C. (2018) · GCB Bioenergy · doi:10.1111/gcbb.12534 · Cited by 48
The impact of socio-economic development and climate change on E. coli loads and concentrations in Kabul River, Pakistan
Iqbal, M. S., Islam, M. M. M., & Hofstra, N. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.09.347 · Cited by 47
The importance of socioeconomic conditions in mitigating climate change impacts and achieving Sustainable Development Goals
Liu, J., Fujimori, S., Takahashi, K., Hasegawa, T., Wu, W., Geng, Y., Takakura, J., & Masui, T. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abcac4 · Cited by 45
Next steps in geoengineering scenario research: limited deployment scenarios and beyond
Sugiyama, M., Arino, Y., Kosugi, T., Kurosawa, A., & Watanabe, S. (2017) · Climate Policy · doi:10.1080/14693062.2017.1323721 · Cited by 53
A review on present and future microbial surface water quality worldwide
Islam, M. M. M., Iqbal, M. S., Dsouza, N., & Islam, M. A. (2021) · Environmental Nanotechnology Monitoring & Management · doi:10.1016/j.enmm.2021.100523 · Cited by 44
International risk of food insecurity and mass mortality in a runaway global warming scenario
Richards, C. E., Gauch, H. L., & Allwood, J. M. (2023) · Futures · doi:10.1016/j.futures.2023.103173 · Cited by 52
On the heat waves over India and their future projections under different SSP scenarios from CMIP6 models
Norgate, M., Tiwari, P. R., Das, S., & Kumar, D. (2024) · International Journal of Climatology · doi:10.1002/joc.8367 · Cited by 45
The effect of green infrastructure on resilience performance in combined sewer systems under climate change
Rodríguez, M., Fu, G., Butler, D., Yuan, Z., & Cook, L. M. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.120229 · Cited by 44
Global paper market forecasts to 2030 under future internet demand scenarios
Johnston, C. M. T. (2016) · Journal of Forest Economics · doi:10.1016/j.jfe.2016.07.003 · Cited by 44
Evaluating adaptation measures for reducing flood risk: A case study in the city of Colombo, Sri Lanka
Wagenaar, D., Dahm, R. J., Diermanse, F., Dias, W. P. S., Dissanayake, D. M. S. S., Vajja, H. P., Gehrels, J. C., & Bouwer, L. M. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101162 · Cited by 44
Air quality co-benefits of ratcheting up the NDCs
Rauner, S., Hilaire, J., Klein, D., Strefler, J., & Luderer, G. (2020) · Climatic Change · doi:10.1007/s10584-020-02699-1 · Cited by 47
Projected drought conditions by CMIP6 multimodel ensemble over Southeast Asia
Supharatid, S., & Nafung, J. (2021) · Journal of Water and Climate Change · doi:10.2166/wcc.2021.308 · Cited by 45
Projected increases in population exposure of daily climate extremes in eastern China by 2050
Sun, S., Dai, T., Wang, Z., Chou, J., Chao, Q., & Shi, P. (2021) · Advances in Climate Change Research · doi:10.1016/j.accre.2021.09.014 · Cited by 45
Towards a low-carbon and circular economy: Scenarios for metal stocks and flows in the Dutch electricity system
van Oorschot, J., Sprecher, B., Roelofs, B., van der Horst, J., & van der Voet, E. (2021) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2021.106105 · Cited by 48
Projecting global mariculture production and adaptation pathways under climate change
Oyinlola, M. A., Reygondeau, G., Wabnitz, C. C. C., Frölicher, T. L., Lam, V. W. Y., & Cheung, W. W. L. (2021) · Global Change Biology · doi:10.1111/gcb.15991 · Cited by 48
The interplay among COVID-19 economic recovery, behavioural changes, and the European Green Deal: An energy-economic modelling perspective
Cassetti, G., Boitier, B., Elia, A., Mouël, P. L., Gargiulo, M., Zagamé, P., Νίκας, Α., Koasidis, K., Doukas, H., & Chiodi, A. (2022) · Energy · doi:10.1016/j.energy.2022.125798 · Cited by 44
Assessing future vulnerability and risk of humanitarian crises using climate change and population projections within the INFORM framework
Marzi, S., Myšiak, J., Essenfelder, A. H., Pal, J. S., Luca, V., Mistry, M., Alfieri, L., Karmen, P., Marin-Ferrer, M., & Vousdoukas, M. I. (2021) · Global Environmental Change · doi:10.1016/j.gloenvcha.2021.102393 · Cited by 43
GCAM-USA v5.3_water_dispatch: integrated modeling of subnational US energy, water, and land systems within a global framework
Binsted, M. T., Iyer, G. C., Patel, P., Graham, N. T., Ou, Y., Khan, Z., Kholod, N., Narayan, K. B., Hejazi, M. I., Kim, S. H., et al. (2022) · Geoscientific model development · doi:10.5194/gmd-15-2533-2022 · Cited by 43
Ecological risks of PFAS in China’s surface water: A machine learning approach
Huang, X., Wang, H., Song, X., Han, Z., Shu, Y., Wu, J., Luo, X., Zheng, X., & Fan, Z. (2025) · Environment International · doi:10.1016/j.envint.2025.109290 · Cited by 47
Valuing deaths or years of life lost? Economic benefits of avoided mortality from early heat warning systems
Chiabai, A., Spadaro, J. V., & Neumann, M. B. (2018) · Mitigation and Adaptation Strategies for Global Change · doi:10.1007/s11027-017-9778-4 · Cited by 46
Data Assimilation in Oceanography: Current Status and New Directions
Hoteit, I., Luo, X., Bocquet, M., Köhl, A., & Ait‐El‐Fquih, B. (2018) · GODAE OceanView eBooks · doi:10.17125/gov2018.ch17 · Cited by 43
Experimental investigation of the soiling effect on the performance of monocrystalline photovoltaic systems
Zitouni, H., Merrouni, A. A., Regragui, M., Bouaichi, A., Hajjaj, C., Ghennioui, A., & Ikken, B. (2019) · Energy Procedia · doi:10.1016/j.egypro.2018.11.268 · Cited by 43
A socio‐ecological model for predicting impacts of land‐use and climate change on regional plant diversity in the Austrian Alps
Dullinger, I., Gattringer, A., Wessely, J., Moser, D., Plutzar, C., Willner, W., Egger, C., Gaube, V., Haberl, H., Mayer, A. C. R., et al. (2020) · Global Change Biology · doi:10.1111/gcb.14977 · Cited by 43
Increase in Population Exposure Due to Dry and Wet Extremes in India Under a Warming Climate
Kumar, R., & Mishra, V. (2020) · Earth's Future · doi:10.1029/2020ef001731 · Cited by 43
Attributing observed increase in extreme precipitation in China to human influence
Dong, S., Sun, Y., & Zhang, X. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac888e · Cited by 42
Critical mineral constraints in global renewable scenarios under 1.5 °C target
Wang, P., Chen, W., Cui, X., Li, J., Li, W., Wang, C., Cai, W., & Geng, X. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/aca4ea · Cited by 47
Spatiotemporal dynamics of carbon sinks in China's terrestrial ecosystems from 2010 to 2060
Xu, L., He, N., Li, M., Cai, W., & Yu, G. (2024) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2024.107457 · Cited by 45
Demand-side insights for steering human appropriation of net primary productivity within planetary boundaries
Wang, S., Chen, X., Xie, R., Liu, K., Wang, J., Liu, X., Hubacek, K., Wu, C., Feng, K., Yan, Y., et al. (2024) · One Earth · doi:10.1016/j.oneear.2024.02.010 · Cited by 46
Scenario analysis of supply‐ and demand‐side solutions for circular economy and climate change mitigation in the global building sector
Pauliuk, S., Carrer, F., Heeren, N., & Hertwich, E. G. (2024) · Journal of Industrial Ecology · doi:10.1111/jiec.13557 · Cited by 42
Designing sustainable landuse in a 1.5 °C world: the complexities of projecting multiple ecosystem services from land
Benton, T. G., Bailey, R., Froggatt, A., King, R., Lee, B., & Wellesley, L. (2018) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2018.01.011 · Cited by 45
Reflections on cross-impact balances, a systematic method constructing global socio-technical scenarios for climate change research
Schweizer, V. J. (2020) · Climatic Change · doi:10.1007/s10584-019-02615-2 · Cited by 50
Mitigating energy demand sector emissions: The integrated modelling perspective
Edelenbosch, O. Y., van Vuuren, D. P., Blok, K., Calvin, K., & Fujimori, S. (2020) · Applied Energy · doi:10.1016/j.apenergy.2019.114347 · Cited by 42
Lifestyle changes in mitigation pathways: policy and scientific insights
Saujot, M., Gallic, T. L., & Waisman, H. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abd0a9 · Cited by 43
Population exposure to precipitation extremes in the Indus River Basin at 1.5 °C, 2.0 °C and 3.0 °C warming levels
Zhao, J., Su, B., Mondal, S. K., Wang, Y., Tao, H., & Jiang, T. (2021) · Advances in Climate Change Research · doi:10.1016/j.accre.2021.03.005 · Cited by 42
Modeling impacts of faster productivity growth to inform the CGIAR initiative on Crops to End Hunger
Wiebe, K., Sulser, T. B., Dunston, S., Rosegrant, M. W., Fuglie, K. O., Willenbockel, D., & Nelson, G. C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249994 · Cited by 42
Water is the middle child in global climate policy
Miralles‐Wilhelm, F. R. (2021) · Nature Climate Change · doi:10.1038/s41558-021-01154-y · Cited by 42
Future bioenergy expansion could alter carbon sequestration potential and exacerbate water stress in the United States
Cheng, Y., Huang, M., Lawrence, D. M., Calvin, K., Lombardozzi, D., Sinha, E., Pan, M., & He, X. (2022) · Science Advances · doi:10.1126/sciadv.abm8237 · Cited by 40
The impact of phosphorus on projected Sub-Saharan Africa food security futures
Magnone, D., Niasar, V., Bouwman, L., Beusen, A. H. W., van der Zee, S. E. A. T. M., & Sattari, S. Z. (2022) · Nature Communications · doi:10.1038/s41467-022-33900-x · Cited by 41
Assessment of CMIP6 Multi-Model Projections Worldwide: Which Regions Are Getting Warmer and Are Going through a Drought in Africa and Morocco? What Changes from CMIP5 to CMIP6?
Bouramdane, A.-A. (2022) · Sustainability · doi:10.3390/su15010690 · Cited by 41
Prospective life cycle assessment of alternatively fueled heavy-duty trucks
van den Oever, A. E. M., Costa, D., & Messagie, M. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.120834 · Cited by 49
Global prediction of gross primary productivity under future climate change
Lu, Q., Liu, H., Wei, L., Zhong, Y., & Zhou, Z. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.169239 · Cited by 43
Exploring Climate Change Effects on Drought Patterns in Bangladesh Using Bias-Corrected CMIP6 GCMs
Yildiz, S., Islam, H. M. T., Rashid, T., Sadeque, A., Shahid, S., & Kamruzzaman, M. (2023) · Earth Systems and Environment · doi:10.1007/s41748-023-00362-0 · Cited by 41
Assessment of the impacts of renewable energy variability in long-term decarbonization strategies
Flores, F., Feijoo, F., DeStephano, P., Herc, L., Pfeifer, A., & Duić, N. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.123464 · Cited by 41
A semi-quantitative modelling application for assessing energy efficiency strategies
Νίκας, Α., Ntanos, E., & Doukas, H. (2018) · Applied Soft Computing · doi:10.1016/j.asoc.2018.12.015 · Cited by 41
Modeling the urban water-energy nexus: A case study of Xiamen, China
Lin, J., Kang, J., Bai, X., Li, H., Lv, X., & Kou, L. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.01.063 · Cited by 41
Potential contribution of fusion power generation to low-carbon development under the Paris Agreement and associated uncertainties
Gi, K., Sano, F., Akimoto, K., Hiwatari, R., & Tobita, K. (2019) · Energy Strategy Reviews · doi:10.1016/j.esr.2019.100432 · Cited by 41
Comparing the impact of future cropland expansion on global biodiversity and carbon storage across models and scenarios
Molotoks, A., Henry, R., Stehfest, E., Doelman, J., Havlík, P., Krisztin, T., Alexander, P. M., Dawson, T. P., & Smith, P. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0189 · Cited by 41
Event-based models to understand the scale of the impact of extremes
Otto, C., Piontek, F., Kalkuhl, M., & Frieler, K. (2020) · Nature Energy · doi:10.1038/s41560-020-0562-4 · Cited by 41
Embodied carbon dioxide emissions to provide high access levels to basic infrastructure around the world
Fisch-Romito, V. (2021) · Global Environmental Change · doi:10.1016/j.gloenvcha.2021.102362 · Cited by 39

Authors: O’Neill, B. C., Kriegler, E., Ebi, K. L., Kemp-Benedict, E., Riahi, K., Rothman, D. S., van Ruijven, B. J., van Vuuren, D. P., Birkmann, J., Kok, K., Levy, M., & Solecki, W.
Affiliations: NSF National Center for Atmospheric Research (US)
Potsdam Institute for Climate Impact Research (DE)
University of Washington (US)
Chulalongkorn University (TH)
International Institute for Applied Systems Analysis (AT)
University of Denver (US)
Netherlands Environmental Assessment Agency (NL)
University of Stuttgart (DE)
Wageningen University & Research (NL)
Columbia University (US)
Hunter College (US)
Corresponding author: O’Neill, Brian C.
ORCID: O’Neill, Brian C.
Kriegler, Elmar
Ebi, Kristie L.
Kemp-Benedict, Eric
Riahi, Keywan
Rothman, Dale S.
van Ruijven, Bas J.
van Vuuren, Detlef P.
Birkmann, Joern
Kok, Kasper
Levy, Marc
Solecki, William
Venue: Global Environmental Change
Publisher: Elsevier BV
Published: 2017-01
Volume: 42
Pages: 169-180
ISSN: 0959-3780 (ISSN-L)
DOI: 10.1016/j.gloenvcha.2015.01.004
OpenAlex: W1992193293
Cited by: 3,359
References: 84
Citations by year: 2026: 401 · 2025: 469 · 2024: 478 · 2023: 485 · 2022: 413 · 2021: 329 · 2020: 250 · 2019: 201 · 2018: 156 · 2017: 93
FWCI: 266.46
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Global Environmental Change (publishedVersion)
Socio-Environmental Systems Modeling (acceptedVersion)
Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
IIASA PURE (International Institute of Applied Systems Analysis) (submittedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
Topics: Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
Keywords: Shared Socioeconomic Pathways, long-term scenarios, climate change mitigation, climate change adaptation, social development, expert opinion, future scenarios, human development, technology and institutions, natural resources

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks