Dan K. Thompson

4.5k total citations · 2 hit papers
69 papers, 3.0k citations indexed

About

Dan K. Thompson is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Dan K. Thompson has authored 69 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Global and Planetary Change, 45 papers in Ecology and 16 papers in Atmospheric Science. Recurrent topics in Dan K. Thompson's work include Fire effects on ecosystems (54 papers), Peatlands and Wetlands Ecology (36 papers) and Coastal wetland ecosystem dynamics (22 papers). Dan K. Thompson is often cited by papers focused on Fire effects on ecosystems (54 papers), Peatlands and Wetlands Ecology (36 papers) and Coastal wetland ecosystem dynamics (22 papers). Dan K. Thompson collaborates with scholars based in Canada, United States and United Kingdom. Dan K. Thompson's co-authors include J. M. Waddington, Mike Flannigan, Marc‐André Parisien, Nicholas Kettridge, Ellen Whitman, Paul Moore, Paul J. Morris, B. Mike Wotton, Brian W. Benscoter and Gustaf Granath and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Dan K. Thompson

66 papers receiving 2.9k citations

Hit Papers

Hydrological feedbacks in northern peatlands 2014 2026 2018 2022 2014 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan K. Thompson Canada 30 2.0k 1.9k 892 308 258 69 3.0k
Gitta Lasslop Germany 27 4.0k 2.0× 1.2k 0.7× 1.4k 1.6× 391 1.3× 528 2.0× 48 4.6k
Niels Andela United States 22 3.6k 1.8× 1.2k 0.6× 1.2k 1.3× 226 0.7× 520 2.0× 40 4.2k
Stijn Hantson Germany 34 3.5k 1.8× 1.2k 0.7× 1.3k 1.5× 172 0.6× 501 1.9× 64 4.2k
Brian W. Benscoter United States 24 1.3k 0.6× 1.7k 0.9× 612 0.7× 306 1.0× 77 0.3× 30 2.2k
Lynn M. Gowman Canada 6 1.9k 0.9× 644 0.3× 536 0.6× 119 0.4× 303 1.2× 6 2.0k
A. J. Soja United States 23 3.0k 1.5× 639 0.3× 2.7k 3.0× 132 0.4× 302 1.2× 57 3.9k
Matthew Forrest Germany 18 1.6k 0.8× 465 0.3× 837 0.9× 99 0.3× 253 1.0× 46 2.0k
Ze’ev Gedalof Canada 18 1.3k 0.6× 525 0.3× 748 0.8× 141 0.5× 475 1.8× 36 1.8k
Patrick H. Freeborn United States 19 2.3k 1.2× 600 0.3× 766 0.9× 102 0.3× 203 0.8× 27 2.5k
W. Skinner Canada 17 2.1k 1.0× 639 0.3× 1.1k 1.2× 93 0.3× 298 1.2× 22 2.5k

Countries citing papers authored by Dan K. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Dan K. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan K. Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of Dan K. Thompson. A scholar is included among the top collaborators of Dan K. Thompson 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 Dan K. Thompson. Dan K. Thompson 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.
Whitman, Ellen, Quinn E. Barber, Piyush Jain, et al.. (2024). A modest increase in fire weather overcomes resistance to fire spread in recently burned boreal forests. Global Change Biology. 30(6). e17363–e17363. 9 indexed citations
2.
Bona, Kelly Ann, Kara L. Webster, Dan K. Thompson, et al.. (2024). Using the Canadian Model for Peatlands (CaMP) to examine greenhouse gas emissions and carbon sink strength in Canada's boreal and temperate peatlands. Ecological Modelling. 490. 110633–110633. 4 indexed citations
4.
Bauer, Ilka E., Marissa A. Davies, Kelly Ann Bona, et al.. (2024). Peat profile database from peatlands in Canada. Ecology. 105(10). e4398–e4398. 3 indexed citations
5.
Barber, Quinn E., Piyush Jain, Ellen Whitman, et al.. (2024). The Canadian Fire Spread Dataset. Scientific Data. 11(1). 764–764. 11 indexed citations
6.
Anderson, Kerry, Jack Chen, Peter Englefield, et al.. (2024). The Global Forest Fire Emissions Prediction System version 1.0. Geoscientific model development. 17(21). 7713–7749. 3 indexed citations
7.
Whitman, Ellen, et al.. (2023). Peatlands promote fire refugia in boreal forests of northern Alberta, Canada. Ecosphere. 14(5). 16 indexed citations
8.
Robinne, François‐Nicolas, et al.. (2023). Canada Source Watershed Polygons (Can-SWaP): A dataset for the protection of Canada’s municipal water supply. Scientific Data. 10(1). 807–807.
9.
Chasmer, L., et al.. (2023). Examining Drivers of Post-Fire Seismic Line Ecotone Regeneration in a Boreal Peatland Environment. Forests. 14(10). 1979–1979. 3 indexed citations
10.
Perrakis, Daniel D. B., Miguel G. Cruz, Martin E. Alexander, et al.. (2023). Improved logistic models of crown fire probability in Canadian conifer forests. International Journal of Wildland Fire. 32(10). 1455–1473. 14 indexed citations
11.
Johnston, Joshua M., Didier Davignon, Martin J. Wooster, et al.. (2020). Development of the User Requirements for the Canadian WildFireSat Satellite Mission. Sensors. 20(18). 5081–5081. 23 indexed citations
12.
13.
Chen, Jack, Kerry Anderson, Radenko Pavlovic, et al.. (2019). The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03. Geoscientific model development. 12(7). 3283–3310. 31 indexed citations
14.
Whitman, Ellen, Marc‐André Parisien, Dan K. Thompson, & Mike Flannigan. (2019). Short-interval wildfire and drought overwhelm boreal forest resilience. Scientific Reports. 9(1). 18796–18796. 169 indexed citations
15.
Moore, Paul, Maxwell Lukenbach, Dan K. Thompson, et al.. (2019). Assessing the peatland hummock–hollow classification framework using high-resolution elevation models: implications for appropriate complexity ecosystem modeling. Biogeosciences. 16(18). 3491–3506. 24 indexed citations
16.
Thompson, Dan K., et al.. (2018). Hydrometeorological conditions preceding wildfire, and the subsequent burning of a fen watershed in Fort McMurray, Alberta, Canada. Natural hazards and earth system sciences. 18(1). 157–170. 29 indexed citations
17.
Gibson, Carolyn, L. Chasmer, Dan K. Thompson, et al.. (2018). Wildfire as a major driver of recent permafrost thaw in boreal peatlands. Nature Communications. 9(1). 3041–3041. 217 indexed citations
19.
Kettridge, Nicholas, Merritt R. Turetsky, Dan K. Thompson, et al.. (2015). Moderate drop in water table increases peatland vulnerability to post-fire regime shift. Scientific Reports. 5(1). 8063–8063. 145 indexed citations
20.
Benscoter, Brian W., Dan K. Thompson, J. M. Waddington, et al.. (2011). Interactive effects of vegetation, soil moisture and bulk density on depth of burning of thick organic soils. International Journal of Wildland Fire. 20(3). 418–429. 159 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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