In‐Hyuk Kwon
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Oceanography top 10%
- Environmental Engineering
- Computational Mechanics
- Co-authors
- Hyeong‐Bin CheongYoung Cheol KwonVijay TallapragadaQingfu LiuChanh KieuHyo‐Jong SongZhan ZhangSamuel Trahan
- Topics
- Meteorological Phenomena and Simulations (21 papers)Climate variability and models (18 papers)Tropical and Extratropical Cyclones Research (8 papers)
- Journals
- Journal of Computational PhysicsMonthly Weather ReviewBulletin of the American Meteorological Society
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
In‐Hyuk Kwon
26 papers receiving 460 citations
Peers
Comparison fields: 5 of 36
- Atmospheric Science 464
- Global and Planetary Change 332
- Oceanography 122
- Environmental Engineering 53
- Computational Mechanics 14
Countries citing papers authored by In‐Hyuk Kwon
This map shows the geographic impact of In‐Hyuk Kwon'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 In‐Hyuk Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Hyuk Kwon more than expected).
Fields of papers citing papers by In‐Hyuk Kwon
This network shows the impact of papers produced by In‐Hyuk Kwon. 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 In‐Hyuk Kwon. The network helps show where In‐Hyuk Kwon may publish in the future.
Co-authorship network of co-authors of In‐Hyuk Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of In‐Hyuk Kwon. A scholar is included among the top collaborators of In‐Hyuk Kwon 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 In‐Hyuk Kwon. In‐Hyuk Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 20 | |
| 10 | 78 | |
| 11 | 10 | |
| 12 | Progress in the development of the 3D-KIAPSGM Framework | 1 |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 47 | |
| 16 | Use of Aliased DFS Spectral Method for the Shallow Water Equations on the Sphere | 2 |
| 17 | Vertical Discretization with the Cubic Spline Interpolation for Global Primitive Equations | 3 |
| 18 | Accuracy of the dynamical core with spectral method | 0 |
| 19 | 4 | |
| 20 | 21 |
About In‐Hyuk Kwon
In‐Hyuk Kwon is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 31 papers that have together received 489 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (21 papers), Climate variability and models (18 papers) and Tropical and Extratropical Cyclones Research (8 papers). The work is most often cited by research in Atmospheric Science (464 citations), Global and Planetary Change (332 citations) and Oceanography (122 citations). In‐Hyuk Kwon has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Hyeong‐Bin Cheong, Young Cheol Kwon, Vijay Tallapragada, Qingfu Liu, Chanh Kieu, Hyo‐Jong Song, Zhan Zhang, Samuel Trahan, Junghan Kim and Song‐You Hong. Their work appears in journals such as Journal of Computational Physics, Monthly Weather Review and Bulletin of the American Meteorological Society.
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.