Daehyun Kim
- Atmospheric Science top 0.2%
- Meteorological Phenomena and Simulations 79
- Tropical and Extratropical Cyclones Research 54
- Atmospheric Ozone and Climate 14
- Global and Planetary Change top 0.2%
- Climate variability and models 114
- Atmospheric and Environmental Gas Dynamics 5
- Oceanography top 0.5%
- Oceanographic and Atmospheric Processes 33
- Ocean Waves and Remote Sensing 10
- Marine and coastal ecosystems 6
- Human-Computer Interaction top 10%
- Environmental Engineering top 10%
- Co-authors
- Adam H. SobelÁngel F. AdamesIn‐Sik KangJong‐Seong KugAnthony D. Del GenioHyemi KimMyong‐In LeeMin‐Seop Ahn
- Journals
- Nature (2 papers)Nature Communications (2 papers)Journal of Geophysical Research Atmospheres (2 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Daehyun Kim
132 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 107
- Atmospheric Science 4.4k
- Global and Planetary Change 4.6k
- Oceanography 1.9k
- Human-Computer Interaction 45
- Environmental Engineering 112
Countries citing papers authored by Daehyun Kim
This map shows the geographic impact of Daehyun Kim'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 Daehyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daehyun Kim more than expected).
Fields of papers citing papers by Daehyun Kim
This network shows the impact of papers produced by Daehyun Kim. 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 Daehyun Kim. The network helps show where Daehyun Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daehyun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 70 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 0 | |
| 17 | 2020 | 25 | |
| 18 | 2020 | 8 | |
| 19 | Estimating the Density of Dry Snow Layers From Hardness, and Hardness From Density | 2014 | 3 |
| 20 | ENSO sensitivity to cumulus entrainment in a coupled GCM | 2011 | 4 |
About Daehyun Kim
Daehyun Kim is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 144 papers that have together received 5.2k indexed citations. Recurring topics across this work include Climate variability and models (114 papers), Meteorological Phenomena and Simulations (79 papers), Tropical and Extratropical Cyclones Research (54 papers), Oceanographic and Atmospheric Processes (33 papers), Atmospheric Ozone and Climate (14 papers), Ocean Waves and Remote Sensing (10 papers), Marine and coastal ecosystems (6 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). The work is most often cited by research in Atmospheric Science (4.4k citations), Global and Planetary Change (4.6k citations) and Oceanography (1.9k citations). Daehyun Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Adam H. Sobel, Ángel F. Adames, In‐Sik Kang, Jong‐Seong Kug, Anthony D. Del Genio, Hyemi Kim, Myong‐In Lee, Min‐Seop Ahn, Suzana J. Camargo and Eric D. Maloney. Their work appears in journals such as Nature, Nature Communications and Journal of Geophysical Research Atmospheres.
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.