Eunmo Koo

886 citations
21 papers · 592 indexed · h-index 10

Eunmo Koo

21 papers receiving 571 citations

Peers

Eunmo Koo
Comparison fields: 5 of 60
  • Safety, Risk, Reliability and Quality 258
  • Global and Planetary Change 455
  • Environmental Engineering 146
  • Atmospheric Science 103
  • Earth-Surface Processes 36
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Kyle Shannon United States
Randall McDermott United States
Dominique Morvan France
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J. Winterkamp United States
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J P. Woycheese United States
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Eunmo Koo relative to Kyle Shannon United States Kyle Shannon's profile →
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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

The 25 scholars most cited alongside Eunmo Koo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eunmo Koo Line = papers co-authored together Eunmo Koo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20232
3 20231
4 20225
5 20207
6 20196
7 20198
8 20188
9 201820
10 201712
11 201639
12 201516
13 201315
14 20128
15 201273
16
A laboratory-scale comparison of rate of spread model predictions using chaparral fuel beds – preliminary results
20112
17
Using Dynamically Coupled Turbine/Wind Simulations to Investigate the Influence of Atmospheric Turbulence in Turbine Wake Recovery
20101
18 2010218
19 200826
20 200556

About Eunmo Koo

Eunmo Koo is a scholar working on Safety, Risk, Reliability and Quality, Global and Planetary Change, Environmental Engineering, Atmospheric Science and Earth-Surface Processes, having authored 21 papers that have together received 592 indexed citations. Recurring topics across this work include Fire effects on ecosystems (11 papers), Wind and Air Flow Studies (8 papers), Fire dynamics and safety research (7 papers), Atmospheric chemistry and aerosols (4 papers), Wind Energy Research and Development (4 papers), Radioactive contamination and transfer (3 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Plant Water Relations and Carbon Dynamics (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (258 citations), Global and Planetary Change (455 citations), Environmental Engineering (146 citations), Atmospheric Science (103 citations) and Earth-Surface Processes (36 citations). Eunmo Koo has collaborated with scholars based in United States, South Korea and Canada. Frequent 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. Their work appears in journals such as Journal of Geophysical Research Atmospheres, International Journal of Wildland Fire, Fire Technology, IEEE Transactions on Visualization and Computer Graphics and Renewable Energy.

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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2026