Heeseok Koo

711 citations
30 papers · 581 indexed · h-index 13
Topics
Combustion and flame dynamics (20 papers)Computational Fluid Dynamics and Aerodynamics (15 papers)Advanced Combustion Engine Technologies (13 papers)

In The Last Decade

Heeseok Koo

30 papers receiving 571 citations

Peers

Heeseok Koo
Comparison fields: 5 of 34
  • Computational Mechanics 509
  • Aerospace Engineering 236
  • Fluid Flow and Transfer Processes 157
  • Applied Mathematics 148
  • Safety, Risk, Reliability and Quality 51
Replace A. Mäck with:
A. Mäck Germany
Foluso Ladeinde United States
Luı́s Fernando Figueira da Silva Brazil
Lei Qiao China
Jiangfei Yu China
Ekaterina Fedina Sweden
Balu Sekar United States
Terence P. Coffee United States
Guoyan Zhao China
R. B. Edelman United States
Heeseok Koo relative to A. Mäck Germany A. Mäck's profile →
Citations per field
00.5×4.5×
A. Mäck · 1×
Citations per year

Countries citing papers authored by Heeseok Koo

Since Specialization
Citations

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

Fields of papers citing papers by Heeseok Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heeseok Koo

This figure shows the co-authorship network connecting the top 25 collaborators of Heeseok Koo. A scholar is included among the top collaborators of Heeseok 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 Heeseok Koo. Heeseok 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
#WorkIndexed citations
1 2
2 63
3 5
4 19
5 3
6 6
7 17
8 54
9 6
10 18
11 2
12 32
13 65
14 28
15 3
16 3
17 10
18
Estimation of Measurement Errors in Supersonic Wall-Bounded Flows using CFD-Based Simulated PIV
1
19 2
20 16

About Heeseok Koo

Heeseok Koo is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering, having authored 30 papers that have together received 581 indexed citations. Recurring topics across this work include Combustion and flame dynamics (20 papers), Computational Fluid Dynamics and Aerodynamics (15 papers) and Advanced Combustion Engine Technologies (13 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (157 citations), Computational Mechanics (509 citations) and Applied Mathematics (148 citations). Heeseok Koo has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Venkat Raman, Romain Fiévet, Philip L. Varghese, Klaus Peter Geigle, Michael E. Mueller, Malik Hassanaly, Aaron H. Auslender, Noel T. Clemens, Ross A. Burns and Rodney O. Fox. Their work appears in journals such as Journal of Computational Physics, AIChE Journal and AIAA Journal.

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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