Marie Ekström

3.5k total citations
49 papers, 2.3k citations indexed

About

Marie Ekström is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Marie Ekström has authored 49 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Global and Planetary Change, 22 papers in Atmospheric Science and 14 papers in Water Science and Technology. Recurrent topics in Marie Ekström's work include Climate variability and models (29 papers), Hydrology and Watershed Management Studies (13 papers) and Meteorological Phenomena and Simulations (13 papers). Marie Ekström is often cited by papers focused on Climate variability and models (29 papers), Hydrology and Watershed Management Studies (13 papers) and Meteorological Phenomena and Simulations (13 papers). Marie Ekström collaborates with scholars based in United Kingdom, Australia and United States. Marie Ekström's co-authors include Hayley J. Fowler, Jason P. Evans, Fei Ji, P. D. Jones, Chris Kilsby, Michael Grose, Penny Whetton, Stephen Blenkinsop, A. Smith and Adrian Chappell and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Marie Ekström

48 papers receiving 2.2k citations

Peers

Marie Ekström

GPC

WST

EEBS

Jin Huang China

Claas Teichmann Germany

Jinlong Huang China

M. Nazrul Islam Saudi Arabia

Wolfgang‐Albert Flügel Germany

Ali Mehran United States

Emanuele Bevacqua Germany

Gerd Bürger Germany

Laurie S. Huning United States

Elisa Ragno Netherlands

Jin Huang China

Marie Ekström

1.6k ×0.8

GPC

865 ×0.7

564 ×1.0

WST

284 ×1.0

261 ×1.7

EEBS

Citations per year, relative to Marie Ekström Marie Ekström (= 1×) peers Jin Huang

Countries citing papers authored by Marie Ekström

Since Specialization

Citations

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

Fields of papers citing papers by Marie Ekström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Ekström

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

All Works

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20 of 20 papers shown

Chappell, Adrian, Nicholas P. Webb, Kerstin Schepanski, et al.. (2023). Satellites reveal Earth's seasonally shifting dust emission sources. The Science of The Total Environment. 883. 163452–163452. 24 indexed citations

Alves, Tiago M., et al.. (2021). Scientific, societal and pedagogical approaches to tackle the impact of climate change on marine pollution. Scientific Reports. 11(1). 2927–2927. 14 indexed citations

Chappell, Adrian, Nicholas P. Webb, Charles S. Zender, et al.. (2021). Weaknesses in dust emission modelling hidden by tuning to dust in the atmosphere. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Viner, David, et al.. (2020). Understanding the dynamic nature of risk in climate change assessments—A new starting point for discussion. Atmospheric Science Letters. 21(4). 28 indexed citations

Chappell, Adrian, et al.. (2020). Evaluation of Global Reanalysis Land Surface Wind Speed Trends to Support Wind Energy Development Using In Situ Observations. Journal of Applied Meteorology and Climatology. 60(1). 33–50. 76 indexed citations

Ekström, Marie, E. D. Gutmann, Robert L. Wilby, Mari R. Tye, & Dewi Kirono. (2018). Robustness of hydroclimate metrics for climate change impact research. Wiley Interdisciplinary Reviews Water. 5(4). 26 indexed citations

Chiew, Francis H. S., Hongxing Zheng, Nicholas J. Potter, et al.. (2017). Future runoff projections for Australia and science challenges in producing next generation projections. 8 indexed citations

Burgin, Laura, Marie Ekström, & Suraje Dessai. (2017). Combining dispersion modelling with synoptic patterns to understand the wind-borne transport into the UK of the bluetongue disease vector. International Journal of Biometeorology. 61(7). 1233–1245. 5 indexed citations

Zhang, Lu, Marie Ekström, Hongxing Zheng, Francis H. S. Chiew, & Nicholas J. Potter. (2016). Hydroclimate projections for Victoria at 2040 and 2065. CSIRO. 10 indexed citations

10.

Perkins‐Kirkpatrick, Sarah, Christopher J. White, Lisa V. Alexander, et al.. (2016). Natural hazards in Australia: heatwaves. Climatic Change. 139(1). 101–114. 93 indexed citations

11.

Ekström, Marie, Michael Grose, & Penny Whetton. (2015). An appraisal of downscaling methods used in climate change research. Wiley Interdisciplinary Reviews Climate Change. 6(3). 301–319. 151 indexed citations

12.

Evans, Jason P., Fei Ji, Gab Abramowitz, & Marie Ekström. (2013). Optimally choosing small ensemble members to produce robust climate simulations. Environmental Research Letters. 8(4). 44050–44050. 81 indexed citations

13.

Ekström, Marie, Natasha Kuruppu, Robert L. Wilby, et al.. (2012). Examination of climate risk using a modified uncertainty matrix framework—Applications in the water sector. Global Environmental Change. 23(1). 115–129. 29 indexed citations

14.

Grigg, Nicky, et al.. (2012). Hydro-climate knowledge needs for climate change adaptation. Freshwater Ecosystems and Water Resources Applications. CSIRO. 1 indexed citations

15.

Evans, Jason P., Marie Ekström, & Fei Ji. (2011). Evaluating the performance of a WRF physics ensemble over South-East Australia. Climate Dynamics. 39(6). 1241–1258. 236 indexed citations

16.

Ekström, Marie, Benoît Hingray, Abdelkader Mezghani, & P. D. Jones. (2007). Regional climate model data used within the SWURVE project – 2: addressing uncertainty in regional climate model data for five European case study areas. Hydrology and earth system sciences. 11(3). 1085–1096. 21 indexed citations

17.

Ekström, Marie, Hayley J. Fowler, Chris Kilsby, & P. D. Jones. (2004). New estimates of future changes in extreme rainfall across the UK using regional climate model integrations. 2. Future estimates and use in impact studies. Journal of Hydrology. 300(1-4). 234–251. 150 indexed citations

18.

Ekström, Marie & P. D. Jones. (2003). Assessment of HadRM3 extreme precipitation in UK. EAEJA. 2703. 1 indexed citations

19.

Achberger, Christine, Marie Ekström, & Lars Bärring. (2002). Estimation of local near‐surface wind conditions –a comparison of WASP and regression based techniques. Meteorological Applications. 9(2). 211–221. 18 indexed citations

20.

Ekström, Marie. (2002). Estimating monthly surface winds for Scania, southern Sweden, using geostrophic wind (1899-1997). Geografiska Annaler Series A Physical Geography. 84(2). 113–126. 4 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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