Amber Leeson

2.5k total citations
49 papers, 1.3k citations indexed

About

Amber Leeson is a scholar working on Atmospheric Science, Pulmonary and Respiratory Medicine and Global and Planetary Change. According to data from OpenAlex, Amber Leeson has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atmospheric Science, 21 papers in Pulmonary and Respiratory Medicine and 11 papers in Global and Planetary Change. Recurrent topics in Amber Leeson's work include Cryospheric studies and observations (35 papers), Winter Sports Injuries and Performance (21 papers) and Climate change and permafrost (17 papers). Amber Leeson is often cited by papers focused on Cryospheric studies and observations (35 papers), Winter Sports Injuries and Performance (21 papers) and Climate change and permafrost (17 papers). Amber Leeson collaborates with scholars based in United Kingdom, Belgium and United States. Amber Leeson's co-authors include Stewart S. R. Jamieson, Chris R. Stokes, Andrew Shepherd, Xavier Fettweis, Kate Briggs, Ryan Hossaini, Sandip Dhomse, S. A. Montzka, Martyn P. Chipperfield and Malcolm McMillan and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Amber Leeson

47 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amber Leeson United Kingdom 22 1.0k 435 213 193 101 49 1.3k
Daniel M. Gilford United States 10 435 0.4× 53 0.1× 339 1.6× 51 0.3× 20 0.2× 18 688
Bruno Franco Belgium 20 1.1k 1.1× 79 0.2× 777 3.6× 43 0.2× 29 0.3× 48 1.3k
R. W. Obbard United States 15 453 0.4× 64 0.1× 79 0.4× 76 0.4× 57 0.6× 29 1.4k
Xinyue Zhong China 16 779 0.7× 22 0.1× 220 1.0× 72 0.4× 23 0.2× 43 958
Andrew H. MacDougall Canada 20 678 0.6× 32 0.1× 740 3.5× 31 0.2× 97 1.0× 43 1.3k
Chuanjin Li China 15 376 0.4× 38 0.1× 103 0.5× 21 0.1× 27 0.3× 57 617
Teng Li China 15 126 0.1× 49 0.1× 50 0.2× 32 0.2× 10 0.1× 61 795
J. Tschiersch Germany 19 219 0.2× 40 0.1× 471 2.2× 32 0.2× 9 0.1× 77 1.2k
L. Mitchell United States 20 735 0.7× 22 0.1× 605 2.8× 17 0.1× 161 1.6× 39 1.2k
Mats Eriksson Sweden 20 201 0.2× 15 0.0× 546 2.6× 27 0.1× 45 0.4× 68 1.1k

Countries citing papers authored by Amber Leeson

Since Specialization
Citations

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

Fields of papers citing papers by Amber Leeson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Leeson

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

All Works

20 of 20 papers shown
1.
Leeson, Amber, et al.. (2025). A comparison of supraglacial meltwater features throughout contrasting melt seasons: southwest Greenland. ˜The œcryosphere. 19(3). 1047–1066.
2.
Sørensen, Louise Sandberg, Sebastian B. Simonsen, Noël Gourmelen, et al.. (2024). Improved monitoring of subglacial lake activity in Greenland. ˜The œcryosphere. 18(2). 505–523. 2 indexed citations
3.
Leeson, Amber, et al.. (2024). Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland. ˜The œcryosphere. 18(2). 543–558. 10 indexed citations
4.
Hossaini, Ryan, David F. Sherry, Martyn P. Chipperfield, et al.. (2024). On the atmospheric budget of 1,2-dichloroethane and its impact on stratospheric chlorine and ozone (2002–2020). Atmospheric chemistry and physics. 24(23). 13457–13475. 4 indexed citations
5.
Leeson, Amber, et al.. (2024). Bayesian hierarchical model for bias-correcting climate models. Geoscientific model development. 17(14). 5733–5757. 1 indexed citations
6.
Gantayat, Prateek, Alison F. Banwell, Amber Leeson, et al.. (2023). A new model for supraglacial hydrology evolution and drainage for the Greenland Ice Sheet (SHED v1.0). Geoscientific model development. 16(20). 5803–5823. 2 indexed citations
7.
Eastoe, Emma, et al.. (2023). The importance of context in extreme value analysis with application to extreme temperatures in the U.S. and Greenland. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(4). 829–843. 3 indexed citations
8.
Killick, Rebecca, Amber Leeson, Christopher Nemeth, et al.. (2023). Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data. Journal of Glaciology. 69(278). 1834–1845. 2 indexed citations
9.
Carter, Jeremy, Amber Leeson, Andrew Orr, Christoph Kittel, & Jan Melchior van Wessem. (2022). Variability in Antarctic surface climatology across regional climate models and reanalysis datasets. ˜The œcryosphere. 16(9). 3815–3841. 12 indexed citations
10.
Leeson, Amber, et al.. (2022). An inventory of supraglacial lakes and channels across the West Antarctic Ice Sheet. Earth system science data. 14(1). 209–228. 23 indexed citations
11.
Verjans, Vincent, Amber Leeson, Malcolm McMillan, et al.. (2021). Uncertainty in East Antarctic Firn Thickness Constrained Using a Model Ensemble Approach. Geophysical Research Letters. 48(7). 13 indexed citations
12.
Verjans, Vincent, Amber Leeson, Christopher Nemeth, et al.. (2020). Bayesian calibration of firn densification models. ˜The œcryosphere. 14(9). 3017–3032. 12 indexed citations
13.
Leeson, Amber, et al.. (2020). Evolution of Supraglacial Lakes on the Larsen B Ice Shelf in the Decades Before it Collapsed. Geophysical Research Letters. 47(4). 36 indexed citations
14.
Hossaini, Ryan, E. Atlas, Sandip Dhomse, et al.. (2019). Recent Trends in Stratospheric Chlorine From Very Short‐Lived Substances. Journal of Geophysical Research Atmospheres. 124(4). 2318–2335. 47 indexed citations
15.
Hossaini, Ryan, Amber Leeson, & Richard W. Hyde. (2019). Advanced Data Clustering Methods for Climate Model Intercomparison. EGU General Assembly Conference Abstracts. 5053. 1 indexed citations
16.
Stokes, Chris R., et al.. (2019). Widespread development of supraglacial lakes around the margin of the East Antarctic Ice Sheet. EGU General Assembly Conference Abstracts. 7746. 3 indexed citations
17.
Verjans, Vincent, Amber Leeson, C. Max Stevens, et al.. (2019). Development of physically based liquid water schemes for Greenland firn-densification models. ˜The œcryosphere. 13(7). 1819–1842. 33 indexed citations
18.
Leeson, Amber, Emma Eastoe, & Xavier Fettweis. (2018). Extreme temperature events on Greenland in observations and the MAR regional climate model. ˜The œcryosphere. 12(3). 1091–1102. 13 indexed citations
19.
Hyde, Richard W., Ryan Hossaini, & Amber Leeson. (2018). Cluster-based ensemble means for climate model intercomparison. Biogeosciences (European Geosciences Union). 1 indexed citations
20.
Hyde, Richard W., Ryan Hossaini, & Amber Leeson. (2018). Cluster-based analysis of multi-model climate ensembles. Geoscientific model development. 11(6). 2033–2048. 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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