Nick Dunstone

1.2k total citations
10 papers, 259 citations indexed

About

Nick Dunstone is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Nick Dunstone has authored 10 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 6 papers in Atmospheric Science and 2 papers in Oceanography. Recurrent topics in Nick Dunstone's work include Climate variability and models (8 papers), Meteorological Phenomena and Simulations (5 papers) and Climate change impacts on agriculture (2 papers). Nick Dunstone is often cited by papers focused on Climate variability and models (8 papers), Meteorological Phenomena and Simulations (5 papers) and Climate change impacts on agriculture (2 papers). Nick Dunstone collaborates with scholars based in United Kingdom, United States and China. Nick Dunstone's co-authors include Doug Smith, Adam A. Scaife, Amy H. Butler, Margaret Gordon, Anca Brookshaw, Nicola Martin, Alexey Yu. Karpechko, Rosie Eade, Mark Baldwin and Craig MacLachlan and has published in prestigious journals such as Journal of Climate, Quarterly Journal of the Royal Meteorological Society and Environmental Research Letters.

In The Last Decade

Nick Dunstone

8 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nick Dunstone United Kingdom	4	234	219	41	12	12	10	259
J. G. Dwyer United States	6	267 1.1×	235 1.1×	57 1.4×	11 0.9×	10 0.8×	8	293
Federico Fabiano Italy	8	189 0.8×	177 0.8×	48 1.2×	11 0.9×	3 0.3×	24	224
M. Das Gupta India	11	291 1.2×	323 1.5×	85 2.1×	9 0.8×	11 0.9×	32	379
Jeanine Jones United States	3	200 0.9×	185 0.8×	56 1.4×	4 0.3×	12 1.0×	3	221
Yangruixue Chen China	8	294 1.3×	296 1.4×	20 0.5×	4 0.3×	12 1.0×	14	331
Yuanchun Zhang China	14	503 2.1×	532 2.4×	31 0.8×	7 0.6×	20 1.7×	39	563
Alexander Cress Germany	8	220 0.9×	214 1.0×	17 0.4×	10 0.8×	4 0.3×	17	248
Cory Baggett United States	10	632 2.7×	621 2.8×	122 3.0×	8 0.7×	22 1.8×	17	682
Martin Steinheimer Austria	6	332 1.4×	343 1.6×	29 0.7×	8 0.7×	9 0.8×	8	370
Bryan D. Mundhenk United States	5	472 2.0×	458 2.1×	85 2.1×	4 0.3×	33 2.8×	5	504

Countries citing papers authored by Nick Dunstone

Since Specialization

Citations

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

Fields of papers citing papers by Nick Dunstone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Dunstone

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Dunstone. A scholar is included among the top collaborators of Nick Dunstone 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 Nick Dunstone. Nick Dunstone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Woollings, Tim, et al.. (2025). The Role of Internal Variability in Seasonal Hindcast Trend Errors. Journal of Climate. 38(19). 5541–5553. 1 indexed citations

2.

Kay, Alison L., Nick Dunstone, Gillian Kay, Victoria A. Bell, & Jamie Hannaford. (2024). Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England. Natural hazards and earth system sciences. 24(9). 2953–2970. 3 indexed citations

3.

Kendon, Elizabeth, Mark McCarthy, S. A. Brown, et al.. (2023). Multiperspective view of the 1976 drought–heatwave event and its changing likelihood. Quarterly Journal of the Royal Meteorological Society. 150(758). 232–261. 3 indexed citations

4.

Scaife, Adam A., Leon Hermanson, Annelize van Niekerk, et al.. (2021). Long-Range Predictability of the Length of Day and Extratropical Climate.. 1 indexed citations

5.

Dunstone, Nick, et al.. (2021). Skilful predictions of multi-year US hurricane insured losses by decadal prediction systems.

6.

Catto, Jennifer L., et al.. (2021). Model evaluation of compound precipitation and wind extremes over Europe.

7.

Thornton, Hazel, Adam A. Scaife, Brian J. Hoskins, et al.. (2018). Skilful seasonal prediction of winter gas demand. Environmental Research Letters. 14(2). 24009–24009. 32 indexed citations

8.

Monerie, Paul‐Arthur, Jon Robson, Buwen Dong, et al.. (2018). Predicting the seasonal evolution of southern African summer precipitation in the DePreSys3 prediction system. Climate Dynamics. 52(11). 6491–6510. 19 indexed citations

9.

Hermanson, Leon, Hong‐Li Ren, Michael Vellinga, et al.. (2017). Different types of drifts in two seasonal forecast systems and their dependence on ENSO. Climate Dynamics. 51(4). 1411–1426. 33 indexed citations

10.

Scaife, Adam A., Alexey Yu. Karpechko, Mark Baldwin, et al.. (2015). Seasonal winter forecasts and the stratosphere. Atmospheric Science Letters. 17(1). 51–56. 167 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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