Jae-Mo Koo

20 papers receiving 799 citations

Peers

Jae-Mo Koo
Comparison fields: 5 of 42
  • Mechanical Engineering 587
  • Computational Mechanics 201
  • Biomedical Engineering 260
  • Electrical and Electronic Engineering 262
  • Renewable Energy, Sustainability and the Environment 39
Replace J.G. Maveety with:
J.G. Maveety United States
Cheng‐Chieh Hsieh Taiwan
Vishal Singhal United States
U. Kloter Switzerland
Bruno Agostini Switzerland
Leszek Wojtan Switzerland
R. J. Bezama United States
K.E. Goodson United States
Prabhu Sathyamurthy United States
Gerd Schlottig Switzerland
Jae-Mo Koo relative to J.G. Maveety United States J.G. Maveety's profile →
Citations per field
00.5×1.5×2.1×
J.G. Maveety · 1×
Citations per year

Countries citing papers authored by Jae-Mo Koo

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Mo Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jae-Mo 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 Jae-Mo Koo Line = papers co-authored together Jae-Mo Koo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002207
2 2005192
3 2002182
4 200139
5 200237
6 200335
7 200224
8 200223
9 200620
10 200018
11 200317
12 200615
13 200614
14
Development of a Flat Plate Solar Collector Design Program
19996
15 20015
16 20025
17 20032
18 20052
19 20061
20 20071

About Jae-Mo Koo

Jae-Mo Koo is a scholar working on Mechanical Engineering, Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 21 papers that have together received 845 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (19 papers), Heat Transfer and Boiling Studies (17 papers), Fluid Dynamics and Thin Films (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Solar Thermal and Photovoltaic Systems (3 papers), Silicon Carbide Semiconductor Technologies (3 papers), Advancements in Semiconductor Devices and Circuit Design (1 paper) and Electrostatic Discharge in Electronics (1 paper). The work is most often cited by research in Mechanical Engineering (587 citations), Computational Mechanics (201 citations), Biomedical Engineering (260 citations), Electrical and Electronic Engineering (262 citations) and Renewable Energy, Sustainability and the Environment (39 citations). Jae-Mo Koo has collaborated with scholars based in United States and South Korea. Frequent co-authors include Kenneth E. Goodson, Linan Jiang, Thomas W. Kenny, Juan G. Santiago, Sungjun Im, Zhang Lian, Mehdi Asheghi, Ravi Prasher, Peng Zhou and J.G. Maveety. Their work appears in journals such as Journal of Heat Transfer, Heat Transfer Engineering, Journal of Microelectromechanical Systems, Numerical Heat Transfer Part A Applications and IEEE Transactions on Components and Packaging Technologies.

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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