Simon N. Gosling

18.9k total citations · 7 hit papers
87 papers, 8.1k citations indexed

About

Simon N. Gosling is a scholar working on Global and Planetary Change, Water Science and Technology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Simon N. Gosling has authored 87 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 47 papers in Water Science and Technology and 19 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Simon N. Gosling's work include Hydrology and Watershed Management Studies (44 papers), Climate variability and models (30 papers) and Flood Risk Assessment and Management (28 papers). Simon N. Gosling is often cited by papers focused on Hydrology and Watershed Management Studies (44 papers), Climate variability and models (30 papers) and Flood Risk Assessment and Management (28 papers). Simon N. Gosling collaborates with scholars based in United Kingdom, Germany and United States. Simon N. Gosling's co-authors include Nigel W. Arnell, Yoshihide Wada, Glenn R. McGregor, Jason Lowe, Yusuke Satoh, Junguo Liu, Naota Hanasaki, Yoshimitsu Masaki, Taikan Oki and Yadu Pokhrel and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Simon N. Gosling

82 papers receiving 7.9k citations

Hit Papers

The impacts of climate change on river flood risk at the ... 2013 2026 2017 2021 2014 2017 2013 2013 2017 250 500 750

Peers

Simon N. Gosling
Heejun Chang United States
Christel Prudhomme United Kingdom
Mojtaba Sadegh United States
Katherine Calvin United States
Page Kyle United States
Buda Su China
Heejun Chang United States
Simon N. Gosling
Citations per year, relative to Simon N. Gosling Simon N. Gosling (= 1×) peers Heejun Chang

Countries citing papers authored by Simon N. Gosling

Since Specialization
Citations

This map shows the geographic impact of Simon N. Gosling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon N. Gosling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon N. Gosling more than expected).

Fields of papers citing papers by Simon N. Gosling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon N. Gosling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon N. Gosling. The network helps show where Simon N. Gosling may publish in the future.

Co-authorship network of co-authors of Simon N. Gosling

This figure shows the co-authorship network connecting the top 25 collaborators of Simon N. Gosling. A scholar is included among the top collaborators of Simon N. Gosling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simon N. Gosling. Simon N. Gosling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Fang, Ning Nie, Yang Liu, et al.. (2025). Benefits of Calibrating a Global Hydrological Model for Regional Analyses of Flood and Drought Projections: A Case Study of the Yangtze River Basin. Water Resources Research. 61(3). 3 indexed citations
2.
Tiwari, Amar Deep, Yadu Pokhrel, Julien Boulangé, et al.. (2025). Similarities and divergent patterns in hydrologic fluxes and storages simulated by global water models. Nature Water. 3(5). 550–560. 2 indexed citations
3.
Tiwari, Amar Deep, Yadu Pokhrel, Farshid Felfelani, et al.. (2025). Underestimation of Historical Terrestrial Water Storage Droughts in Global Water Models. Geophysical Research Letters. 52(19).
4.
Jones, Edward R., Rens van Beek, Peter Burek, et al.. (2025). A multi-model assessment of global freshwater temperature and thermoelectric power supply under climate change. IIASA PURE (International Institute of Applied Systems Analysis). 1(2). 25002–25002.
5.
Liu, Junguo, Delong Li, He Chen, et al.. (2024). Timing the first emergence and disappearance of global water scarcity. Nature Communications. 15(1). 7129–7129. 45 indexed citations
6.
Boyd, Doreen S., Bethany Jackson, Jessica L. Decker Sparks, et al.. (2024). The future of decent work: Forecasting heat stress and the intersection of sustainable development challenges in India's brick kilns. Sustainable Development. 33(2). 3099–3117. 1 indexed citations
7.
Gnann, Sebastian, Robert Reinecke, Lina Stein, et al.. (2023). Functional relationships reveal differences in the water cycle representation of global water models. Nature Water. 1(12). 1079–1090. 29 indexed citations
8.
Satoh, Yusuke, Kei Yoshimura, Yadu Pokhrel, et al.. (2022). The timing of unprecedented hydrological drought under climate change. Nature Communications. 13(1). 3287–3287. 181 indexed citations breakdown →
9.
Gosling, Simon N., Matthew F. Johnson, Matthew D. Jones, et al.. (2022). Multi-model evaluation of catchment- and global-scale hydrological model simulations of drought characteristics across eight large river catchments. Advances in Water Resources. 165. 104212–104212. 16 indexed citations
10.
Reinecke, Robert, Hannes Müller Schmied, Tim Trautmann, et al.. (2021). Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study. Hydrology and earth system sciences. 25(2). 787–810. 87 indexed citations
11.
Satoh, Yusuke, Hideo Shiogama, Naota Hanasaki, et al.. (2021). Decomposing the uncertainties in global drought projection.
12.
Satoh, Yusuke, Hideo Shiogama, Naota Hanasaki, et al.. (2021). A quantitative evaluation of the issue of drought definition: a source of disagreement in future drought assessments. Environmental Research Letters. 16(10). 104001–104001. 27 indexed citations
13.
Boulangé, Julien, Naota Hanasaki, Yusuke Satoh, et al.. (2021). Validity of estimating flood and drought characteristics under equilibrium climates from transient simulations. Environmental Research Letters. 16(10). 104028–104028. 4 indexed citations
14.
Gudmundsson, Lukas, Julien Boulangé, Hong Xuan, et al.. (2021). Globally observed trends in mean and extreme river flow attributed to climate change. Science. 371(6534). 1159–1162. 348 indexed citations breakdown →
15.
Vanderkelen, Inne, Nicole Van Lipzig, David M. Lawrence, et al.. (2020). Global heat uptake by inland waters. 4 indexed citations
16.
Krysanova, Valentina, Jamal Zaherpour, Iulii Didovets, et al.. (2020). How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change. Climatic Change. 163(3). 1353–1377. 38 indexed citations
17.
Xuan, Hong, Fang Zhao, Seth Westra, et al.. (2020). Historical and future changes in global flood magnitude – evidence from a model–observation investigation. Hydrology and earth system sciences. 24(3). 1543–1564. 57 indexed citations
18.
Dawson, Richard, David B. Thompson, Frances Wood, et al.. (2018). A systems framework for national assessment of climate risks to infrastructure. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 376(2121). 56 indexed citations
19.
Veldkamp, Ted, Yoshihide Wada, Jeroen C. J. H. Aerts, et al.. (2017). Water scarcity hotspots travel downstream due to human interventions in the 20th and 21st century. Nature Communications. 8(1). 15697–15697. 368 indexed citations breakdown →
20.
Hagemann, Stefan, Sonja Folwell, Simon N. Gosling, et al.. (2011). Projected hydrological changes in the 21st century and related uncertainties obtained from a multi-model ensemble. Socio-Environmental Systems Modeling. 4815. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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