Emma Suckling

866 total citations
17 papers, 498 citations indexed

About

Emma Suckling is a scholar working on Global and Planetary Change, Atmospheric Science and Nuclear and High Energy Physics. According to data from OpenAlex, Emma Suckling has authored 17 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 3 papers in Nuclear and High Energy Physics. Recurrent topics in Emma Suckling's work include Climate variability and models (14 papers), Meteorological Phenomena and Simulations (11 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). Emma Suckling is often cited by papers focused on Climate variability and models (14 papers), Meteorological Phenomena and Simulations (11 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). Emma Suckling collaborates with scholars based in United Kingdom, Netherlands and France. Emma Suckling's co-authors include Ed Hawkins, Leonard A. Smith, Geert Jan van Oldenborgh, Rowan Sutton, P. D. Jones, Pablo Ortega, Manoj Joshi, Timothy J. Osborn, Valérie Masson‐Delmotte and Emmanuel Mignot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Bulletin of the American Meteorological Society.

In The Last Decade

Emma Suckling

17 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma Suckling United Kingdom 12 327 244 44 40 38 17 498
Sabine Undorf United Kingdom 12 394 1.2× 313 1.3× 22 0.5× 27 0.7× 22 0.6× 21 578
Tobias Geiger Germany 11 314 1.0× 177 0.7× 45 1.0× 33 0.8× 37 1.0× 24 496
Fraser C. Lott United Kingdom 21 1.1k 3.4× 787 3.2× 35 0.8× 119 3.0× 108 2.8× 57 1.4k
J. P. Carbonnel France 8 137 0.4× 77 0.3× 32 0.7× 12 0.3× 70 1.8× 23 344
V. P. Meleshko Russia 11 362 1.1× 375 1.5× 17 0.4× 30 0.8× 27 0.7× 26 597
Farhan Mustafa China 13 418 1.3× 187 0.8× 18 0.4× 40 1.0× 50 1.3× 27 636
Wen China 11 144 0.4× 135 0.6× 23 0.5× 22 0.6× 32 0.8× 101 469
Beatriz M. Monge-Sanz United Kingdom 9 677 2.1× 612 2.5× 19 0.4× 29 0.7× 58 1.5× 21 825
Manuel Schlund Germany 7 641 2.0× 495 2.0× 43 1.0× 50 1.3× 62 1.6× 12 773

Countries citing papers authored by Emma Suckling

Since Specialization
Citations

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

Fields of papers citing papers by Emma Suckling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Suckling

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

All Works

17 of 17 papers shown
1.
Bett, Philip E., Hazel Thornton, Alberto Troccoli, et al.. (2022). A simplified seasonal forecasting strategy, applied to wind and solar power in Europe. Climate Services. 27. 100318–100318. 18 indexed citations
2.
Troccoli, Alberto, C. M. Goodess, P. D. Jones, et al.. (2018). Creating a proof-of-concept climate service to assess future renewable energy mixes in Europe: An overview of the C3S ECEM project. Advances in science and research. 15. 191–205. 32 indexed citations
3.
Hawkins, Ed, Pablo Ortega, Emma Suckling, et al.. (2017). Estimating Changes in Global Temperature since the Preindustrial Period. Bulletin of the American Meteorological Society. 98(9). 1841–1856. 202 indexed citations
4.
Suckling, Emma, Geert Jan van Oldenborgh, Jonathan Eden, & Ed Hawkins. (2016). An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts. Climate Dynamics. 48(9-10). 3115–3138. 17 indexed citations
5.
Eden, Jonathan, Geert Jan van Oldenborgh, Ed Hawkins, & Emma Suckling. (2015). A global empirical system for probabilistic seasonal climate prediction. Geoscientific model development. 8(12). 3947–3973. 22 indexed citations
6.
Sutton, Rowan, Emma Suckling, & Ed Hawkins. (2015). What does global mean temperature tell us about local climate?. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 373(2054). 20140426–20140426. 59 indexed citations
7.
Stevenson, P. D., Emma Suckling, S. Fracasso, Edward D. Simmons, & A. S. Umar. (2015). Role of the Skyrme tensor force in heavy-ion fusion. SHILAP Revista de lepidopterología. 86. 58–58. 3 indexed citations
8.
Smith, Leonard A., et al.. (2015). Towards improving the framework for probabilistic forecast evaluation. Climatic Change. 132(1). 31–45. 20 indexed citations
9.
Smith, Leonard A., et al.. (2014). Probabilistic skill in ensemble seasonal forecasts. Quarterly Journal of the Royal Meteorological Society. 141(689). 1085–1100. 18 indexed citations
10.
Wesselink, Anna, Andrew J. Challinor, James Watson, et al.. (2014). Equipped to deal with uncertainty in climate and impacts predictions: lessons from internal peer review. Climatic Change. 132(1). 1–14. 23 indexed citations
11.
López, Ana Mariá, et al.. (2014). Towards a typology for constrained climate model forecasts. Climatic Change. 132(1). 15–29. 3 indexed citations
12.
Suckling, Emma & Leonard A. Smith. (2013). An Evaluation of Decadal Probability Forecasts from State-of-the-Art Climate Models. Journal of Climate. 26(23). 9334–9347. 23 indexed citations
13.
Otto, Friederike E. L., Christopher A. T. Ferro, Thomas E. Fricker, & Emma Suckling. (2013). On judging the credibility of climate predictions. Climatic Change. 132(1). 47–60. 6 indexed citations
14.
López, Ana Mariá, Emma Suckling, & Leonard A. Smith. (2013). Robustness of pattern scaled climate change scenarios for adaptation decision support. Climatic Change. 122(4). 555–566. 23 indexed citations
15.
Stevenson, P. D., S. Fracasso, & Emma Suckling. (2012). The tensor-kinetic field in nuclear collisions. Journal of Physics Conference Series. 381. 12105–12105. 2 indexed citations
16.
López, Ana Mariá, Emma Suckling, & Laura Smith. (2011). Pattern scaled climate change scenarios: are these useful for adaptation?. RePEc: Research Papers in Economics. 9497. 1 indexed citations
17.
Suckling, Emma & P. D. Stevenson. (2010). The effect of the tensor force on the predicted stability of superheavy nuclei. Europhysics Letters (EPL). 90(1). 12001–12001. 26 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026