Jeonghwan Ko

31 papers receiving 754 citations

Peers

Jeonghwan Ko
Comparison fields: 5 of 44
  • Computational Mathematics 56
  • Aerospace Engineering 529
  • Computational Mechanics 347
  • Control and Systems Engineering 330
  • Civil and Structural Engineering 247
Replace Hekmat Alighanbari with:
Hekmat Alighanbari Canada
Vivek Mukhopadhyay United States
Shuxing Yang China
Keum W. Lee South Korea
Harald Pfifer Germany
Zebb Prime Australia
Yuping Lu China
E.Y. Shapiro United States
Liangyu Zhao China
Julian Theis Germany
Jeonghwan Ko relative to Hekmat Alighanbari Canada Hekmat Alighanbari's profile →
Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Jeonghwan Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jeonghwan Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jeonghwan Ko, 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 Jeonghwan Ko Line = papers co-authored together Jeonghwan Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997174
2 2000161
3 1999120
4 1998116
5 199734
6 200222
7 200219
8 200117
9 199715
10 199711
11 199911
12 199711
13 199810
14 19988
15 19977
16 20007
17 19946
18 19936
19 20226
20 19965

About Jeonghwan Ko

Jeonghwan Ko is a scholar working on Aerospace Engineering, Computational Mechanics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanics of Materials, having authored 34 papers that have together received 796 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Aeroelasticity and Vibration Control (11 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Risk and Safety Analysis (4 papers), Dynamics and Control of Mechanical Systems (4 papers), Model Reduction and Neural Networks (4 papers), Seismic Imaging and Inversion Techniques (3 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Computational Mathematics (56 citations), Aerospace Engineering (529 citations), Computational Mechanics (347 citations), Control and Systems Engineering (330 citations) and Civil and Structural Engineering (247 citations). Jeonghwan Ko has collaborated with scholars based in United States and South Korea. Frequent co-authors include Andrew J. Kurdila, Thomas Strganac, David E. Thompson, Othon K. Rediniotis, John L. Junkins, Maruthi R. Akella, Michael Pilant, José L. Gilarranz, Raymond O. Wells and Cheol‐Ho Kim. Their work appears in journals such as Journal of Guidance Control and Dynamics, AIAA Journal, Cryogenics, Computer Methods in Applied Mechanics and Engineering and Journal of Fluids Engineering.

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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