Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Quantification of modelling uncertainties in a large ensemble of climate change simulations
20041.3k citationsJames M. Murphy, David M. H. Sexton et al.Natureprofile →
Uncertainty in predictions of the climate response to rising levels of greenhouse gases
2005857 citationsDavid A. Stainforth, T. Aina et al.Natureprofile →
Storylines: an alternative approach to representing uncertainty in physical aspects of climate change
2018436 citationsTheodore G. Shepherd, Emily Boyd et al.Climatic Changeprofile →
The missing risks of climate change
2022143 citationsJames Rising, Marco Tedesco et al.Natureprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by David A. Stainforth
Since
Specialization
Citations
This map shows the geographic impact of David A. Stainforth'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 David A. Stainforth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Stainforth more than expected).
Fields of papers citing papers by David A. Stainforth
This network shows the impact of papers produced by David A. Stainforth. 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 David A. Stainforth. The network helps show where David A. Stainforth may publish in the future.
Co-authorship network of co-authors of David A. Stainforth
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Stainforth.
A scholar is included among the top collaborators of David A. Stainforth 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 David A. Stainforth. David A. Stainforth is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rising, James, Marco Tedesco, Franziska Piontek, & David A. Stainforth. (2022). The missing risks of climate change. Nature. 610(7933). 643–651.143 indexed citations breakdown →
Chapman, S. C., N. W. Watkins, & David A. Stainforth. (2019). Warming Trends in Summer Heatwaves. Geophysical Research Letters. 46(3). 1634–1640.41 indexed citations
Shepherd, Theodore G., Emily Boyd, Raphael Calel, et al.. (2018). Storylines: an alternative approach to representing uncertainty in physical aspects of climate change. Climatic Change. 151(3-4). 555–571.436 indexed citations breakdown →
12.
Bhave, Ajay, Suraje Dessai, Declan Conway, & David A. Stainforth. (2016). Application of stakeholder-based and modelling approaches for supporting robust adaptation decision making under future climatic uncertainty and changing urban-agricultural water demand. EGU General Assembly Conference Abstracts.1 indexed citations
Smith, Leonard A. & David A. Stainforth. (2014). Putting the Weather Back Into Climate. EGUGA. 15461.
15.
Chapman, S. C., David A. Stainforth, & N. W. Watkins. (2013). On estimating local long-term climate trends. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 371(1991). 20120287–20120287.14 indexed citations
16.
Stainforth, David A., T. Aina, C. Christensen, et al.. (2005). Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature. 433(7024). 403–406.857 indexed citations breakdown →
17.
Murphy, James M., David M. H. Sexton, David N. Barnett, et al.. (2004). Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature. 430(7001). 768–772.1318 indexed citations breakdown →
18.
Stainforth, David A., et al.. (2002). Computing in Science & Eng.: Scientific Programming - Distributed Computing for Public-Interest Climate Modeling Research.. IEEE Distributed Systems Online. 3.1 indexed citations
19.
Stainforth, David A., J. Kettleborough, Andrew Simpson, et al.. (2002). Climateprediction.net: Design Principles for Publicresource Modeling Research.. 32–38.19 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.