Emily Shuckburgh

4.0k total citations · 1 hit paper
59 papers, 2.5k citations indexed

About

Emily Shuckburgh is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Emily Shuckburgh has authored 59 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Global and Planetary Change, 34 papers in Atmospheric Science and 22 papers in Oceanography. Recurrent topics in Emily Shuckburgh's work include Climate variability and models (31 papers), Oceanographic and Atmospheric Processes (20 papers) and Atmospheric Ozone and Climate (11 papers). Emily Shuckburgh is often cited by papers focused on Climate variability and models (31 papers), Oceanographic and Atmospheric Processes (20 papers) and Atmospheric Ozone and Climate (11 papers). Emily Shuckburgh collaborates with scholars based in United Kingdom, United States and France. Emily Shuckburgh's co-authors include Peter Haynes, Andrew Meijers, Thomas J. Bracegirdle, John Marshall, Jean‐Baptiste Sallée, Nicolas Bruneau, Chris Hill, Helen Jones, Z. Wang and W. A. Norton and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Emily Shuckburgh

58 papers receiving 2.4k citations

Hit Papers

Seasonal Arctic sea ice forecasting with probabilistic de... 2021 2026 2022 2024 2021 50 100 150

Peers

Emily Shuckburgh
John M. Lyman United States
Sonya Legg United States
Till Kuhlbrodt United Kingdom
Igor Kamenkovich United States
D. R. Jackett Australia
Gustavo Goñi United States
Emily Shuckburgh
Citations per year, relative to Emily Shuckburgh Emily Shuckburgh (= 1×) peers William J. Merryfield

Countries citing papers authored by Emily Shuckburgh

Since Specialization
Citations

This map shows the geographic impact of Emily Shuckburgh'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 Emily Shuckburgh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Shuckburgh more than expected).

Fields of papers citing papers by Emily Shuckburgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily Shuckburgh. 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 Emily Shuckburgh. The network helps show where Emily Shuckburgh may publish in the future.

Co-authorship network of co-authors of Emily Shuckburgh

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Shuckburgh. A scholar is included among the top collaborators of Emily Shuckburgh 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 Emily Shuckburgh. Emily Shuckburgh 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.
Ripple, William J., Christopher Wolf, Michael Mann, et al.. (2025). The 2025 state of the climate report: a planet on the brink. BioScience. 75(12). 1016–1027. 1 indexed citations
2.
Khamis, Doran, et al.. (2025). Streamflow prediction using artificial neural networks and soil moisture proxies. NERC Open Research Archive (Natural Environment Research Council). 4. 1 indexed citations
3.
Wischik, Damon, et al.. (2024). A temporal stochastic bias correction using a machine learning attention model. SPIRE - Sciences Po Institutional REpository. 3. 1 indexed citations
4.
Furner, Rachel, Peter Haynes, Daniel C. Jones, et al.. (2024). The challenge of land in a neural network ocean model. NERC Open Research Archive (Natural Environment Research Council). 3. 1 indexed citations
5.
Debnath, Ramit, Felix Creutzig, Benjamin K. Sovacool, & Emily Shuckburgh. (2023). Harnessing human and machine intelligence for planetary-level climate action. SHILAP Revista de lepidopterología. 2(1). 20–20. 17 indexed citations
6.
Kaiser, Markus, et al.. (2023). A locally time-invariant metric for climate model ensemble predictions of extreme risk. SHILAP Revista de lepidopterología. 2.
7.
Simpson, Charles, et al.. (2022). Localized impacts and economic implications from high temperature disruption days under climate change. SHILAP Revista de lepidopterología. 1(2). 2 indexed citations
8.
Andersson, Tom R., J. Scott Hosking, María Pérez‐Ortiz, et al.. (2021). Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nature Communications. 12(1). 5124–5124. 158 indexed citations breakdown →
9.
Simpson, Charles, J. Scott Hosking, Dann Mitchell, Richard Betts, & Emily Shuckburgh. (2021). Regional disparities and seasonal differences in climate risk to rice labour. Environmental Research Letters. 16(12). 124004–124004. 12 indexed citations
10.
Jones, Daniel C., Emma Boland, Andrew Meijers, et al.. (2020). The Sensitivity of Southeast Pacific Heat Distribution to Local and Remote Changes in Ocean Properties. Journal of Physical Oceanography. 50(3). 773–790. 4 indexed citations
11.
Jones, Daniel C., et al.. (2019). Unsupervised Clustering of Southern Ocean Argo Float Temperature Profiles. Journal of Geophysical Research Oceans. 124(1). 390–402. 38 indexed citations
12.
Jones, Daniel C., Emma Boland, Andrew Meijers, et al.. (2019). Heat Distribution in the Southeast Pacific Is Only Weakly Sensitive to High‐Latitude Heat Flux and Wind Stress. Journal of Geophysical Research Oceans. 124(12). 8647–8666. 6 indexed citations
13.
Jones, Daniel C., Gaël Forget, Bablu Sinha, et al.. (2018). Local and Remote Influences on the Heat Content of the Labrador Sea: An Adjoint Sensitivity Study. Journal of Geophysical Research Oceans. 123(4). 2646–2667. 22 indexed citations
14.
McKenna, Christine M., et al.. (2018). Arctic Sea Ice Loss in Different Regions Leads to Contrasting Northern Hemisphere Impacts. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2017. 1 indexed citations
15.
Illingworth, Sam, Stuart Capstick, Adam Corner, et al.. (2018). Representing the majority and not the minority: the importance of the individual in communicating climate change. Research Output (Edinburgh Napier University). 1(1). 9–24. 4 indexed citations
16.
Mitchell, Dann, Krishna AchutaRao, Myles Allen, et al.. (2016). Half a degree Additional warming, Projections, Prognosis and Impacts (HAPPI): Background and Experimental Design. 12 indexed citations
17.
Shuckburgh, Emily. (2012). Oceanographers' contribution to climate modelling and prediction: progress to date and a future perspective. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 370(1980). 5656–5681. 4 indexed citations
18.
Meijers, Andrew, Emily Shuckburgh, Nicolas Bruneau, et al.. (2012). Representation of the Antarctic Circumpolar Current in the CMIP5 climate models and future changes under warming scenarios. Journal of Geophysical Research Atmospheres. 117(C12). 96 indexed citations
19.
Shuckburgh, Emily. (2012). Mapping unstable manifolds using drifters/floats in a Southern Ocean field campaign. AIP conference proceedings. 650–653. 2 indexed citations
20.
Haynes, Peter & Emily Shuckburgh. (2000). Effective diffusivity as a diagnostic of atmospheric transport: 1. Stratosphere. Journal of Geophysical Research Atmospheres. 105(D18). 22777–22794. 196 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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