K. Andrea Scott

1.7k total citations
79 papers, 1.1k citations indexed

About

K. Andrea Scott is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, K. Andrea Scott has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Atmospheric Science, 15 papers in Oceanography and 11 papers in Global and Planetary Change. Recurrent topics in K. Andrea Scott's work include Arctic and Antarctic ice dynamics (61 papers), Cryospheric studies and observations (43 papers) and Climate change and permafrost (34 papers). K. Andrea Scott is often cited by papers focused on Arctic and Antarctic ice dynamics (61 papers), Cryospheric studies and observations (43 papers) and Climate change and permafrost (34 papers). K. Andrea Scott collaborates with scholars based in Canada, China and United States. K. Andrea Scott's co-authors include David A. Clausi, Douglas Brown, Lei Wang, Linlin Xu, Mark Buehner, P. G. Sly, W. J. Christie, Tom Carrières, Xinwei Chen and Yan Xu and has published in prestigious journals such as Journal of Fluid Mechanics, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

K. Andrea Scott

71 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Andrea Scott Canada 17 582 193 145 125 118 79 1.1k
Ge Peng United States 16 535 0.9× 58 0.3× 341 2.4× 195 1.6× 88 0.7× 48 1.1k
Paulo Salles Mexico 19 458 0.8× 34 0.2× 423 2.9× 286 2.3× 63 0.5× 82 1.3k
A.K. Milne Australia 17 235 0.4× 8 0.0× 62 0.4× 474 3.8× 124 1.1× 52 1.4k
Alistair Lamb United Kingdom 6 268 0.5× 35 0.2× 95 0.7× 452 3.6× 23 0.2× 10 852
Guy Meadows United States 16 145 0.2× 61 0.3× 317 2.2× 184 1.5× 64 0.5× 74 751
Christopher Moseley Germany 16 1.1k 1.9× 11 0.1× 63 0.4× 47 0.4× 17 0.1× 39 1.9k
Md. Manjurul Hussain Bangladesh 7 219 0.4× 19 0.1× 56 0.4× 81 0.6× 19 0.2× 9 673
Hans Visser Netherlands 16 203 0.3× 14 0.1× 65 0.4× 74 0.6× 138 1.2× 29 648

Countries citing papers authored by K. Andrea Scott

Since Specialization
Citations

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

Fields of papers citing papers by K. Andrea Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Andrea Scott. 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 K. Andrea Scott. The network helps show where K. Andrea Scott may publish in the future.

Co-authorship network of co-authors of K. Andrea Scott

This figure shows the co-authorship network connecting the top 25 collaborators of K. Andrea Scott. A scholar is included among the top collaborators of K. Andrea Scott 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 K. Andrea Scott. K. Andrea Scott 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.
Clausi, David A., et al.. (2025). Fusing Ice Surface Temperature With the AI4Arctic Dataset for Improved Deep Learning-Based Sea Ice Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 24766–24782. 1 indexed citations
2.
Scott, K. Andrea, et al.. (2025). Deep graph neural networks for spatiotemporal forecasting of sub-seasonal sea ice: A case study in Hudson Bay. Applied Ocean Research. 164. 104793–104793.
3.
Chen, Xinwei, et al.. (2025). A Weakly Supervised Learning Approach for Sea Ice Stage of Development Classification From AI4Arctic Sea Ice Challenge Dataset. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
4.
Chen, Xinwei, et al.. (2024). MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model. ˜The œcryosphere. 18(4). 1621–1632. 7 indexed citations
5.
Shaker, Mohammad, et al.. (2024). Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 5919–5927.
6.
Pour, Homa Kheyrollah, et al.. (2024). Assessing Ice Break-Up Trends in Slave River Delta through Satellite Observations and Random Forest Modeling. Remote Sensing. 16(12). 2244–2244.
7.
Scott, K. Andrea, et al.. (2023). Arctic marginal ice zone interannual variability and change point detection using two definitions (1983–2022). Environmental Research Letters. 18(12). 124002–124002. 6 indexed citations
8.
Pour, Homa Kheyrollah, et al.. (2023). Lake surface temperature retrieved from Landsat satellite series (1984 to 2021) for the North Slave Region. Earth system science data. 15(3). 1329–1355. 16 indexed citations
9.
Stastna, Marek, et al.. (2023). Gravity currents in the cabbeling regime. Physical Review Fluids. 8(1). 5 indexed citations
10.
Scott, K. Andrea, et al.. (2022). Efficient Shallow Network for River Ice Segmentation. Remote Sensing. 14(10). 2378–2378. 10 indexed citations
11.
Lamontagne, Philippe, et al.. (2022). Probabilistic spatiotemporal seasonal sea ice presence forecasting using sequence-to-sequence learning and ERA5 data in the Hudson Bay region. ˜The œcryosphere. 16(9). 3753–3773. 6 indexed citations
12.
13.
Scott, K. Andrea, et al.. (2022). Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 1502–1513. 10 indexed citations
14.
15.
Stastna, Marek, et al.. (2021). Asymmetries in gravity currents attributed to the nonlinear equation of state. Journal of Fluid Mechanics. 915. 7 indexed citations
16.
Scott, K. Andrea, et al.. (2021). Seasonal Sea Ice Presence Forecasting of Hudson Bay using Seq2Seq Learning. International Conference on Machine Learning. 1 indexed citations
17.
Benson, David A., et al.. (2019). Participatory groundwater protection regimes in Turkey: influence, control and institutional incoherence. AGUFM. 2019. 2 indexed citations
18.
Scott, K. Andrea, et al.. (2019). Identifying Sea Ice Ridging in SAR Imagery using various Machine Learning Models. 5(1). 1–1. 1 indexed citations
19.
Scott, K. Andrea, et al.. (2015). Assimilation of ice and water observations from SAR imagery to improve estimates of sea ice concentration. Tellus A Dynamic Meteorology and Oceanography. 67(1). 27218. 2 indexed citations
20.
Scott, K. Andrea & Fue‐Sang Lien. (2010). A derivation of the NS-α model and preliminary application to plane channel flow. Journal of Turbulence. 11. N31–N31. 1 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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