Ethan T. Coon

2.2k total citations
48 papers, 1.3k citations indexed

About

Ethan T. Coon is a scholar working on Atmospheric Science, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Ethan T. Coon has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 13 papers in Water Science and Technology and 12 papers in Environmental Engineering. Recurrent topics in Ethan T. Coon's work include Cryospheric studies and observations (23 papers), Climate change and permafrost (22 papers) and Arctic and Antarctic ice dynamics (14 papers). Ethan T. Coon is often cited by papers focused on Cryospheric studies and observations (23 papers), Climate change and permafrost (22 papers) and Arctic and Antarctic ice dynamics (14 papers). Ethan T. Coon collaborates with scholars based in United States, Denmark and Germany. Ethan T. Coon's co-authors include Scott Painter, D. Moulton, A. L. Atchley, D. R. Harp, Cathy J. Wilson, Ahmad Jan, Mark L. Porter, Qinjun Kang, V. E. Romanovsky and J. William Carey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Ethan T. Coon

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ethan T. Coon United States 21 696 305 265 168 157 48 1.3k
Simon Kraatz United States 17 299 0.4× 44 0.1× 224 0.8× 103 0.6× 110 0.7× 51 792
Panos Papanicolaou Greece 11 192 0.3× 71 0.2× 356 1.3× 147 0.9× 437 2.8× 24 925
Chih‐Chieh Young Taiwan 15 223 0.3× 251 0.8× 259 1.0× 254 1.5× 34 0.2× 34 681
Xinguang He China 16 250 0.4× 168 0.6× 238 0.9× 406 2.4× 60 0.4× 53 736
Eng Soon Chan Singapore 18 238 0.3× 51 0.2× 116 0.4× 67 0.4× 357 2.3× 57 1.1k
Mario Morales‐Hernández Spain 19 395 0.6× 409 1.3× 136 0.5× 558 3.3× 203 1.3× 53 938
George Zyvoloski United States 21 96 0.1× 269 0.9× 721 2.7× 223 1.3× 120 0.8× 69 1.4k
Robert A. Schincariol Canada 19 272 0.4× 71 0.2× 748 2.8× 40 0.2× 49 0.3× 38 1.3k
Evangelos Akylas Cyprus 14 194 0.3× 79 0.3× 284 1.1× 177 1.1× 51 0.3× 51 529
B. S. Christensen Denmark 12 67 0.1× 291 1.0× 536 2.0× 166 1.0× 205 1.3× 18 1.3k

Countries citing papers authored by Ethan T. Coon

Since Specialization
Citations

This map shows the geographic impact of Ethan T. Coon'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 Ethan T. Coon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan T. Coon more than expected).

Fields of papers citing papers by Ethan T. Coon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ethan T. Coon. 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 Ethan T. Coon. The network helps show where Ethan T. Coon may publish in the future.

Co-authorship network of co-authors of Ethan T. Coon

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan T. Coon. A scholar is included among the top collaborators of Ethan T. Coon 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 Ethan T. Coon. Ethan T. Coon 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.
Huang, Huilin, Yun Qian, Gautam Bisht, et al.. (2025). WRF-ELM v1.0: a regional climate model to study land–atmosphere interactions over heterogeneous land use regions. Geoscientific model development. 18(5). 1427–1443. 1 indexed citations
2.
Zhang, Fan, et al.. (2024). A numerical study of process complexity in permafrost dominated regions. Cold Regions Science and Technology. 231. 104399–104399. 1 indexed citations
3.
4.
Gao, Bo, Ethan T. Coon, Peter Thornton, & Dan Lu. (2024). Improving the estimation of atmospheric water vapor pressure using interpretable long short-term memory networks. Agricultural and Forest Meteorology. 347. 109907–109907. 5 indexed citations
5.
Cooper, Matthew G., Tian Zhou, Katrina E. Bennett, et al.. (2023). Detecting Permafrost Active Layer Thickness Change From Nonlinear Baseflow Recession. Water Resources Research. 59(1). 10 indexed citations
6.
Gao, Bo & Ethan T. Coon. (2022). Evaluating simplifications of subsurface process representations for field-scale permafrost hydrology models. ˜The œcryosphere. 16(10). 4141–4162. 7 indexed citations
7.
Shuai, Pin, et al.. (2022). The effects of spatial and temporal resolution of gridded meteorological forcing on watershed hydrological responses. Hydrology and earth system sciences. 26(8). 2245–2276. 28 indexed citations
8.
9.
Abolt, Charles J., Michael H. Young, A. L. Atchley, D. R. Harp, & Ethan T. Coon. (2020). Feedbacks Between Surface Deformation and Permafrost Degradation in Ice Wedge Polygons, Arctic Coastal Plain, Alaska. Journal of Geophysical Research Earth Surface. 125(3). 20 indexed citations
10.
Jafarov, Elchin, D. R. Harp, Ethan T. Coon, et al.. (2020). Estimation of subsurface porosities and thermal conductivities of polygonal tundra by coupled inversion of electrical resistivity, temperature, and moisture content data. ˜The œcryosphere. 14(1). 77–91. 8 indexed citations
11.
Jan, Ahmad, Ethan T. Coon, & Scott Painter. (2020). Evaluating integrated surface/subsurface permafrost thermal hydrology models in ATS (v0.88) against observations from a polygonal tundra site. Geoscientific model development. 13(5). 2259–2276. 28 indexed citations
12.
Jafarov, Elchin, D. R. Harp, Ethan T. Coon, et al.. (2019). Estimation of soil properties by coupled inversion of electrical resistance, temperature, and moisture content data. 1 indexed citations
13.
Jan, Ahmad, Ethan T. Coon, Jake D. Graham, & Scott Painter. (2018). A Subgrid Approach for Modeling Microtopography Effects on Overland Flow. Water Resources Research. 54(9). 6153–6167. 22 indexed citations
14.
Harp, D. R., A. L. Atchley, Scott Painter, et al.. (2016). Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis. ˜The œcryosphere. 10(1). 341–358. 44 indexed citations
15.
Harp, D. R., A. L. Atchley, Scott Painter, et al.. (2015). Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations
16.
Atchley, A. L., Scott Painter, D. R. Harp, et al.. (2015). Using field observations to inform thermal hydrology models of permafrost dynamics with ATS (v0.83). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 10 indexed citations
17.
Atchley, A. L., Scott Painter, D. R. Harp, et al.. (2015). Using field observations to inform thermal hydrology models of permafrost dynamics with ATS (v0.83). Geoscientific model development. 8(9). 2701–2722. 66 indexed citations
18.
Coon, Ethan T., Markus Berndt, Rao Garimella, et al.. (2013). Computational Advances in the Arctic Terrestrial Simulator: Modeling Permafrost Degradation in a Warming Arctic. AGU Fall Meeting Abstracts. 2013. 2 indexed citations
19.
Porter, Mark L., Ethan T. Coon, Qinjun Kang, D. Moulton, & J. William Carey. (2012). Multicomponent interparticle-potential lattice Boltzmann model for fluids with large viscosity ratios. Physical Review E. 86(3). 36701–36701. 125 indexed citations
20.
Coon, Ethan T.. (2010). Nitsche Extended Finite Element Methods for Earthquake Simulation. PhDT. 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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