Ewan Pinnington

444 total citations
19 papers, 261 citations indexed

About

Ewan Pinnington is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Ewan Pinnington has authored 19 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 6 papers in Atmospheric Science and 6 papers in Global and Planetary Change. Recurrent topics in Ewan Pinnington's work include Soil Moisture and Remote Sensing (9 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Soil and Unsaturated Flow (4 papers). Ewan Pinnington is often cited by papers focused on Soil Moisture and Remote Sensing (9 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Soil and Unsaturated Flow (4 papers). Ewan Pinnington collaborates with scholars based in United Kingdom, Germany and Switzerland. Ewan Pinnington's co-authors include Tristan Quaife, Emily Black, Simon Dadson, Elizabeth Cooper, Rich Ellis, Jian Peng, E. L. Robinson, Amos S. Lawless, Eleanor Blyth and Maliko Tanguy and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and Agricultural and Forest Meteorology.

In The Last Decade

Ewan Pinnington

16 papers receiving 251 citations

Peers

Ewan Pinnington

GPC

CSE

WST

I. Bouzou Moussa France

Karim Bergaoui United States

Bouchra Aït Hssaine Morocco

Idrissa Guiro Denmark

Ghizlane Aouade Morocco

Ehsan Jalilvand Iran

Luca Zappa Austria

Rim Amri France

Rich Ellis United Kingdom

Nadine Nicolai‐Shaw Switzerland

I. Bouzou Moussa France

Ewan Pinnington

77 ×0.6

68 ×0.6

GPC

50 ×0.4

32 ×0.7

CSE

39 ×1.0

WST

Citations per year, relative to Ewan Pinnington Ewan Pinnington (= 1×) peers I. Bouzou Moussa

Countries citing papers authored by Ewan Pinnington

Since Specialization

Citations

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

Fields of papers citing papers by Ewan Pinnington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewan Pinnington

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

All Works

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19 of 19 papers shown

Chantry, Matthew, Ewan Pinnington, Margarita Choulga, et al.. (2025). Advances in land surface forecasting: a comparison of LSTM, gradient boosting, and feed-forward neural networks as prognostic state emulators in a case study with ecLand. Geoscientific model development. 18(4). 921–937. 2 indexed citations

Pinnington, Ewan, et al.. (2025). The ecological forecast limit revisited: Potential, absolute and relative system predictability. Methods in Ecology and Evolution. 16(7). 1521–1541.

McNorton, Joe, Francesca Di Giuseppe, Ewan Pinnington, Matthew Chantry, & Catherine Barnard. (2024). A Global Probability‐Of‐Fire (PoF) Forecast. Geophysical Research Letters. 51(12). 8 indexed citations

Hayman, Garry, John W. Redhead, Matthew Brown, et al.. (2024). A framework for improved predictions of the climate impacts on potential yields of UK winter wheat and its applicability to other UK crops. Climate Services. 34. 100479–100479. 6 indexed citations

Quaife, Tristan, Ewan Pinnington, Philip Marzahn, et al.. (2022). Synergistic retrievals of leaf area index and soil moisture from Sentinel-1 and Sentinel-2. International Journal of Image and Data Fusion. 14(3). 225–242. 4 indexed citations

Cooper, Elizabeth, Eleanor Blyth, Hollie Cooper, et al.. (2021). Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations. Hydrology and earth system sciences. 25(5). 2445–2458. 10 indexed citations

Pinnington, Ewan, Javier Amezcua, Elizabeth Cooper, et al.. (2021). Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data. Hydrology and earth system sciences. 25(3). 1617–1641. 32 indexed citations

Peng, Jian, Maliko Tanguy, E. L. Robinson, et al.. (2021). Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain. Remote Sensing of Environment. 264. 112610–112610. 55 indexed citations

Pinnington, Ewan, et al.. (2020). The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0. Geoscientific model development. 13(1). 55–69. 20 indexed citations

10.

Peng, Jian, Tristan Quaife, Ewan Pinnington, et al.. (2020). High resolution soil moisture estimation and evaluation from Earth observation. 1 indexed citations

11.

Cooper, Elizabeth, Ewan Pinnington, Richard J. Ellis, et al.. (2020). Improving estimates of UK soil moisture using the JULES land surface model with COSMOS-UK measurements in the LaVEnDAR data assimilation framework.

12.

Black, Emily, Ewan Pinnington, Caroline M. Wainwright, et al.. (2020). Cocoa plant productivity in West Africa under climate change: a modelling and experimental study. Environmental Research Letters. 16(1). 14009–14009. 19 indexed citations

13.

Marzahn, Philip, Thomas Kaminski, Tristan Quaife, et al.. (2019). Synergistic use of Sentinel-1 and Sentinel-2 data for the retrieval of surface soil moisture using a variational data assimilation approach. EGUGA. 10925.

14.

Pinnington, Ewan. (2019). pyearthsci/lavendar: First release of LaVEnDAR software. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

15.

Pinnington, Ewan, Tristan Quaife, & Emily Black. (2018). Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model. Hydrology and earth system sciences. 22(4). 2575–2588. 38 indexed citations

16.

Asfaw, Dagmawi, Emily Black, Matthew Brown, et al.. (2018). TAMSAT-ALERT v1: a new framework for agricultural decision support. Geoscientific model development. 11(6). 2353–2371. 21 indexed citations

17.

Pinnington, Ewan, Eric Casella, Sarah L. Dance, et al.. (2017). Understanding the effect of disturbance from selective felling on the carbon dynamics of a managed woodland by combining observations with model predictions. Journal of Geophysical Research Biogeosciences. 122(4). 886–902. 16 indexed citations

18.

Pinnington, Ewan, Tristan Quaife, & Emily Black. (2017). Using satellite observations of precipitation and soil moisture toconstrain the water budget of a land surface model. 2 indexed citations

19.

Pinnington, Ewan, Eric Casella, Sarah L. Dance, et al.. (2016). Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation. Agricultural and Forest Meteorology. 228-229. 299–314. 24 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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