Eunmo Koo

886 total citations
21 papers, 592 citations indexed

About

Eunmo Koo is a scholar working on Global and Planetary Change, Safety, Risk, Reliability and Quality and Environmental Engineering. According to data from OpenAlex, Eunmo Koo has authored 21 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 8 papers in Safety, Risk, Reliability and Quality and 8 papers in Environmental Engineering. Recurrent topics in Eunmo Koo's work include Fire effects on ecosystems (11 papers), Wind and Air Flow Studies (8 papers) and Fire dynamics and safety research (7 papers). Eunmo Koo is often cited by papers focused on Fire effects on ecosystems (11 papers), Wind and Air Flow Studies (8 papers) and Fire dynamics and safety research (7 papers). Eunmo Koo collaborates with scholars based in United States, South Korea and Canada. Eunmo Koo's co-authors include Patrick J. Pagni, David R. Weise, J P. Woycheese, Rodman Linn, Carleton B. Edminster, Domingo Muñoz‐Esparza, J. E. Huff, Jacques‐Henri Balbi, Frédéric Morandini and Shankar Mahalingam and has published in prestigious journals such as Energy, Renewable Energy and Bulletin of the American Meteorological Society.

In The Last Decade

Eunmo Koo

21 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunmo Koo United States 10 455 258 146 103 91 21 592
Kyle Shannon United States 8 362 0.8× 169 0.7× 83 0.6× 116 1.1× 38 0.4× 12 469
Randall McDermott United States 13 312 0.7× 397 1.5× 169 1.2× 71 0.7× 333 3.7× 35 730
Dominique Morvan France 21 996 2.2× 776 3.0× 149 1.0× 97 0.9× 277 3.0× 74 1.3k
J. Winterkamp United States 11 756 1.7× 250 1.0× 138 0.9× 128 1.2× 33 0.4× 18 805
Mary Ann Jenkins Canada 13 857 1.9× 341 1.3× 154 1.1× 310 3.0× 46 0.5× 21 1.0k
Yanlong Shan China 10 287 0.6× 191 0.7× 33 0.2× 25 0.2× 58 0.6× 24 368
J P. Woycheese United States 6 356 0.8× 280 1.1× 60 0.4× 23 0.2× 37 0.4× 8 413
А. М. Гришин Russia 11 277 0.6× 237 0.9× 73 0.5× 29 0.3× 106 1.2× 114 490
Jorge Raposo Portugal 14 342 0.8× 279 1.1× 31 0.2× 24 0.2× 45 0.5× 32 423
Joël Maréchal France 6 332 0.7× 261 1.0× 41 0.3× 15 0.1× 83 0.9× 9 418

Countries citing papers authored by Eunmo Koo

Since Specialization
Citations

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

Fields of papers citing papers by Eunmo Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunmo Koo

This figure shows the co-authorship network connecting the top 25 collaborators of Eunmo Koo. A scholar is included among the top collaborators of Eunmo Koo 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 Eunmo Koo. Eunmo Koo 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.
Brown, Alexander L., Eunmo Koo, & Jon Reisner. (2023). Estimating stratospheric carbon from fires during a regional nuclear exchange. Fire Safety Journal. 141. 103877–103877. 1 indexed citations
2.
Reisner, Jon, et al.. (2023). Informed Multi‐Scale Approach Applied to the British Columbia Fires of Late Summer 2017. Journal of Geophysical Research Atmospheres. 128(5). 2 indexed citations
3.
Gorkowski, Kyle, et al.. (2023). Insights into Pyrocumulus aerosol composition: black carbon content and organic vapor condensation. Environmental Science Atmospheres. 4(1). 80–87. 1 indexed citations
4.
Thompson, Dan K., et al.. (2022). Quantifying Firebrand Production and Transport Using the Acoustic Analysis of In-Fire Cameras. Fire Technology. 58(3). 1617–1638. 5 indexed citations
5.
Koo, Eunmo, et al.. (2020). Zonal-Based Emission Source Term Model for Predicting Particulate Emission Factors in Wildfire Simulations. Fire Technology. 57(2). 943–971. 7 indexed citations
6.
Reisner, Jon, Eunmo Koo, Elizabeth Hunke, & Manvendra K. Dubey. (2019). Reply to Comment by Robock et al. on “Climate Impact of a Regional Nuclear Weapon Exchange: An Improved Assessment Based on Detailed Source Calculations”. Journal of Geophysical Research Atmospheres. 124(23). 12959–12962. 6 indexed citations
7.
Mazzaro, Laura Jin, Eunmo Koo, Domingo Muñoz‐Esparza, Julie K. Lundquist, & Rodman Linn. (2019). Random Force Perturbations: A New Extension of the Cell Perturbation Method for Turbulence Generation in Multiscale Atmospheric Boundary Layer Simulations. Journal of Advances in Modeling Earth Systems. 11(7). 2311–2329. 8 indexed citations
8.
Koo, Eunmo, et al.. (2018). Stochastic characteristics for the vortical structure of a 5-MW wind turbine wake. Renewable Energy. 133. 1220–1230. 8 indexed citations
9.
Reisner, Jon, Gennaro D’Angelo, Eunmo Koo, et al.. (2018). Climate Impact of a Regional Nuclear Weapons Exchange: An Improved Assessment Based On Detailed Source Calculations. Journal of Geophysical Research Atmospheres. 123(5). 2752–2772. 20 indexed citations
10.
Koo, Eunmo, et al.. (2017). Large‐eddy simulations of wind‐farm wake characteristics associated with a low‐level jet. Wind Energy. 21(3). 163–173. 12 indexed citations
11.
Weise, David R., Eunmo Koo, Xiangyang Zhou, et al.. (2016). Fire spread in chaparral – a comparison of laboratory data and model predictions in burning live fuels. International Journal of Wildland Fire. 25(9). 980–994. 39 indexed citations
12.
Koo, Eunmo, et al.. (2015). Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer. Energy. 95. 79–90. 16 indexed citations
13.
Linn, Rodman, Eunmo Koo, Mario Hlawitschka, et al.. (2013). Visualization and Analysis of Vortex-Turbine Intersections in Wind Farms. IEEE Transactions on Visualization and Computer Graphics. 19(9). 1579–1591. 15 indexed citations
14.
Cunningham, Philip, Rodman Linn, Eunmo Koo, & Cathy J. Wilson. (2012). Large-Eddy Simulations of Air Flow and Turbulence within and around Low-Aspect-Ratio Cylindrical Open-Top Chambers. Journal of Applied Meteorology and Climatology. 52(8). 1716–1737. 8 indexed citations
15.
Koo, Eunmo, Rodman Linn, Patrick J. Pagni, & Carleton B. Edminster. (2012). Modelling firebrand transport in wildfires using HIGRAD/FIRETEC. International Journal of Wildland Fire. 21(4). 396–417. 73 indexed citations
16.
Weise, David R., Eunmo Koo, Xiangyang Zhou, & Shankar Mahalingam. (2011). A laboratory-scale comparison of rate of spread model predictions using chaparral fuel beds – preliminary results. 2 indexed citations
17.
Linn, Rodman, et al.. (2010). Using Dynamically Coupled Turbine/Wind Simulations to Investigate the Influence of Atmospheric Turbulence in Turbine Wake Recovery. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
18.
Koo, Eunmo, Patrick J. Pagni, David R. Weise, & J P. Woycheese. (2010). Firebrands and spotting ignition in large-scale fires. International Journal of Wildland Fire. 19(7). 818–843. 218 indexed citations
19.
Stephens, Scott L., et al.. (2008). Measuring the Rate of Spread of Chaparral Prescribed fires in Northern California. Fire Ecology. 4(1). 74–86. 26 indexed citations
20.
Koo, Eunmo, et al.. (2005). A Simple Physical Model For Forest Fire Spread Rate. Fire Safety Science. 8. 851–862. 56 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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