Jae Su Kwak

1.7k citations
82 papers · 1.4k indexed · h-index 21
Topics
Heat Transfer Mechanisms (68 papers)Turbomachinery Performance and Optimization (56 papers)Fluid Dynamics and Turbulent Flows (39 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Jae Su Kwak

76 papers receiving 1.4k citations

Peers

Jae Su Kwak
Comparison fields: 5 of 43
  • Mechanical Engineering 1.2k
  • Aerospace Engineering 1.1k
  • Computational Mechanics 1.0k
  • Biomedical Engineering 68
  • Mechanics of Materials 53
Replace Reinhard Niehuis with:
Reinhard Niehuis Germany
J. H. Wagner United States
Hee Koo Moon United States
Dong-Ho Rhee South Korea
James D. Heidmann United States
Yuting Jiang China
Achmed Schulz Germany
Xavier Ottavy France
Stephen M. Bajorek United States
Jun Su Park South Korea
Jae Su Kwak relative to Reinhard Niehuis Germany Reinhard Niehuis's profile →
Citations per field
00.5×2.6×
Reinhard Niehuis · 1×
Citations per year

Countries citing papers authored by Jae Su Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Jae Su Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Su Kwak. 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 Jae Su Kwak. The network helps show where Jae Su Kwak may publish in the future.

Co-authorship network of co-authors of Jae Su Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Su Kwak. A scholar is included among the top collaborators of Jae Su Kwak 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 Jae Su Kwak. Jae Su Kwak 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 0
2 1
3 1
4 9
5 1
6 7
7 5
8 1
9 4
10 12
11 37
12 41
13 5
14 99
15
Effect of Groove Shape of Blade Tip on Tip Surface Heat Transfer Coefficient Distributions of a Turbine Cascade
0
16 32
17
Measurement of the Film Cooling Effectiveness on a Flat Plate using Pressure Sensitive Paint
1
18 24
19 1
20 4

About Jae Su Kwak

Jae Su Kwak is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Heat Transfer Mechanisms (68 papers), Turbomachinery Performance and Optimization (56 papers) and Fluid Dynamics and Turbulent Flows (39 papers). The work is most often cited by research in Computational Mechanics (1.0k citations), Aerospace Engineering (1.1k citations) and Mechanical Engineering (1.2k citations). Jae Su Kwak has collaborated with scholars based in South Korea and United States. Frequent co-authors include Je-Chin Han, Jaeyong Ahn, Je-Chin Han, Won Suk Lee, Robert Boyle, Jin Young Jeong, Ronald S. Bunker, Raymond E. Gaugler, Jin Taek Chung and Yong Jin Lee. Their work appears in journals such as International Journal of Heat and Mass Transfer, Applied Thermal Engineering and Journal of Heat Transfer.

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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