E. S. Euskirchen

19.4k total citations · 6 hit papers
114 papers, 9.3k citations indexed

About

E. S. Euskirchen is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, E. S. Euskirchen has authored 114 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Atmospheric Science, 56 papers in Global and Planetary Change and 31 papers in Ecology. Recurrent topics in E. S. Euskirchen's work include Climate change and permafrost (79 papers), Cryospheric studies and observations (53 papers) and Atmospheric and Environmental Gas Dynamics (30 papers). E. S. Euskirchen is often cited by papers focused on Climate change and permafrost (79 papers), Cryospheric studies and observations (53 papers) and Atmospheric and Environmental Gas Dynamics (30 papers). E. S. Euskirchen collaborates with scholars based in United States, Canada and United Kingdom. E. S. Euskirchen's co-authors include Kurt S. Pregitzer, A. David McGuire, Jiquan Chen, V. E. Romanovsky, F. Stuart Chapin, Merritt R. Turetsky, Kimberley D. Brosofske, A. D. McGuire, Karen A. Harper and S. Ellen Macdonald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

E. S. Euskirchen

110 papers receiving 9.0k citations

Hit Papers

Vulnerability of Permafrost Carbon to Climate Change: Imp... 2004 2026 2011 2018 2008 2005 2004 2019 2020 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Vulnerability of Permafrost Carbon to Climate Change: Implications for the Global Carbon Cycle
    2008 1.2k citations Edward A. G. Schuur, E. S. Euskirchen et al. profile →
  2. Edge Influence on Forest Structure and Composition in Fragmented Landscapes
    2005 1.0k citations E. S. Euskirchen et al. profile →
  3. Carbon cycling and storage in world forests: biome patterns related to forest age
    2004 776 citations Kurt S. Pregitzer, E. S. Euskirchen Global Change Biology profile →
  4. Key indicators of Arctic climate change: 1971–2017
    2019 548 citations Torben R. Christensen, Uma S. Bhatt et al. Environmental Research Letters profile →
  5. Extreme weather and climate events in northern areas: A review
    2020 206 citations John E. Walsh, E. S. Euskirchen et al. profile →
  6. Arctic tundra shrubification: a review of mechanisms and impacts on ecosystem carbon balance
    2021 196 citations E. S. Euskirchen et al. Environmental Research Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. S. Euskirchen United States 43 5.2k 3.9k 3.0k 1.6k 756 114 9.3k
Hans Tømmervik Norway 39 2.9k 0.6× 4.3k 1.1× 3.4k 1.1× 1.2k 0.7× 584 0.8× 140 8.5k
Howard E. Epstein United States 49 4.8k 0.9× 3.2k 0.8× 3.1k 1.0× 1.1k 0.7× 952 1.3× 155 8.7k
Christopher Daly United States 30 4.4k 0.8× 5.8k 1.5× 1.9k 0.6× 1.6k 1.0× 361 0.5× 49 9.5k
Steven F. Oberbauer United States 47 2.7k 0.5× 2.9k 0.7× 2.2k 0.7× 1.8k 1.2× 493 0.7× 138 6.9k
Jill F. Johnstone Canada 44 3.5k 0.7× 5.5k 1.4× 3.2k 1.1× 2.6k 1.6× 538 0.7× 105 8.3k
Kirsten Thonicke Germany 40 2.8k 0.5× 7.5k 1.9× 2.4k 0.8× 2.0k 1.2× 744 1.0× 110 9.6k
Kiona Ogle United States 40 2.4k 0.5× 4.7k 1.2× 1.6k 0.5× 2.5k 1.6× 1.2k 1.6× 115 7.0k
Elena Shevliakova United States 42 3.1k 0.6× 6.1k 1.6× 1.5k 0.5× 1.0k 0.6× 965 1.3× 104 8.5k
John B. Bradford United States 49 1.6k 0.3× 5.8k 1.5× 2.7k 0.9× 4.0k 2.5× 606 0.8× 191 8.0k
John L. Campbell United States 41 1.7k 0.3× 3.4k 0.9× 2.3k 0.8× 1.8k 1.1× 1.8k 2.4× 146 7.4k

Countries citing papers authored by E. S. Euskirchen

Since Specialization
Citations

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

Fields of papers citing papers by E. S. Euskirchen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Euskirchen. 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 E. S. Euskirchen. The network helps show where E. S. Euskirchen may publish in the future.

Co-authorship network of co-authors of E. S. Euskirchen

This figure shows the co-authorship network connecting the top 25 collaborators of E. S. Euskirchen. A scholar is included among the top collaborators of E. S. Euskirchen 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 E. S. Euskirchen. E. S. Euskirchen 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.
Patil, Vijay P., Jack W. McFarland, Kimberly P. Wickland, et al.. (2024). The Effect of Drying Boreal Lakes on Plants, Soils, and Microbial Communities in Lake Margin Habitats. Journal of Geophysical Research Biogeosciences. 129(8). 1 indexed citations
2.
3.
Qu, Bo, Alexandre Roy, Joe R. Melton, et al.. (2023). A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC). Environmental Research Letters. 18(8). 85002–85002. 3 indexed citations
4.
Wunderling, Nico, Uma S. Bhatt, Jonathan F. Donges, et al.. (2023). Reducing uncertainty of high-latitude ecosystem models through identification of key parameters. Environmental Research Letters. 18(8). 84032–84032. 1 indexed citations
5.
Chadburn, Sarah, Eleanor Burke, Angela Gallego‐Sala, et al.. (2022). A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil) for northern and temperate peatlands. Geoscientific model development. 15(4). 1633–1657. 13 indexed citations
6.
Euskirchen, E. S., Shawn Serbin, Jennifer M. Fraterrigo, et al.. (2021). Assessing dynamic vegetation model parameter uncertainty across Alaskan arctic tundra plant communities. Ecological Applications. 32(2). e2499–e2499. 1 indexed citations
7.
Walsh, John E., et al.. (2021). Surface moisture budget of tundra and boreal ecosystems in Alaska: Variations and drivers. Polar Science. 29. 100685–100685. 8 indexed citations
8.
James, S. R., Burke J. Minsley, Jack W. McFarland, et al.. (2021). The Biophysical Role of Water and Ice Within Permafrost Nearing Collapse: Insights From Novel Geophysical Observations. Journal of Geophysical Research Earth Surface. 126(6). 13 indexed citations
9.
Shi, Mingjie, Nicholas C. Parazoo, Sujong Jeong, et al.. (2019). Exposure to cold temperature affects the spring phenology of Alaskan deciduous vegetation types. Environmental Research Letters. 15(2). 25006–25006. 9 indexed citations
10.
Manies, Kristen, E. L. Yates, L. E. Christensen, et al.. (2019). Can a drone equipped with a miniature methane sensor determine methane fluxes from an Alaskan wetland?. 5 indexed citations
11.
Drewry, D., Oliver Sonnentag, Charles E. Miller, et al.. (2018). Airborne Solar-Induced Chlorophyll Fluorescence to Characterize Arctic Boreal Zone Productivity. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
12.
Luus, Kristina, R. Commane, N. Parazoo, et al.. (2017). Tundra photosynthesis captured by satellite‐observed solar‐induced chlorophyll fluorescence. Geophysical Research Letters. 44(3). 1564–1573. 59 indexed citations
13.
Jones, L. A., John S. Kimball, Rolf H. Reichle, et al.. (2017). The SMAP Level 4 Carbon Product for Monitoring Ecosystem Land–Atmosphere CO2 Exchange. IEEE Transactions on Geoscience and Remote Sensing. 55(11). 6517–6532. 70 indexed citations
14.
Yi, Yonghong, John S. Kimball, M. A. Rawlins, Mahta Moghaddam, & E. S. Euskirchen. (2015). The role of snow cover and soil freeze/thaw cycles affecting boreal-arctic soil carbon dynamics. 5 indexed citations
15.
Yi, Yonghong, John S. Kimball, M. A. Rawlins, Mahta Moghaddam, & E. S. Euskirchen. (2015). The role of snow cover affecting boreal-arctic soil freeze–thaw and carbon dynamics. Biogeosciences. 12(19). 5811–5829. 60 indexed citations
16.
Waldrop, Mark P., Jack W. McFarland, E. S. Euskirchen, et al.. (2012). Carbon Balance and Greenhouse Gas Fluxes in a Thermokarst Bog in Interior Alaska: Positive and Negative Feedbacks from Permafrost Thaw. AGUFM. 2012. 1 indexed citations
17.
McGuire, A. David, Torben R. Christensen, Daniel J. Hayes, et al.. (2012). An assessment of the carbon balance of Arctic tundra: comparisons among observations, process models, and atmospheric inversions. Biogeosciences. 9(8). 3185–3204. 257 indexed citations
18.
Iwata, Hiroki, Yoshinobu Harazono, E. S. Euskirchen, et al.. (2010). Seasonal and spatial variations of carbon fluxes of arctic and boreal ecosystems in Alaska. AGUFM. 2010. 1 indexed citations
19.
Pregitzer, Kurt S. & E. S. Euskirchen. (2004). Carbon cycling and storage in world forests: biome patterns related to forest age. Global Change Biology. 10(12). 2052–2077. 776 indexed citations breakdown →
20.
Desai, Ankur R., Bruce D. Cook, Peter S. Curtis, et al.. (2004). Impact of vegetation cover and stand age on scaling carbon fluxes in the upper Midwest: a multiple eddy flux site study. AGU Fall Meeting Abstracts. 2004. 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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