Daehyun Kim
- Global and Planetary Change top 0.2%
- Atmospheric Science top 0.2%
- Oceanography top 0.5%
- Environmental Engineering top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Adam H. SobelÁngel F. AdamesIn‐Sik KangJong‐Seong KugAnthony D. Del GenioHyemi KimMyong‐In LeeMin‐Seop Ahn
- Topics
- Climate variability and models (114 papers)Meteorological Phenomena and Simulations (79 papers)Tropical and Extratropical Cyclones Research (54 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
- Global and Planetary Change 4.6k
- Atmospheric Science 4.4k
- Oceanography 1.9k
- Environmental Engineering 112
- Computer Networks and Communications 107
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 of co-authors of Daehyun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Daehyun Kim. A scholar is included among the top collaborators of Daehyun Kim 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 Daehyun Kim. Daehyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 70 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 21 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 0 | |
| 17 | 25 | |
| 18 | 8 | |
| 19 | Estimating the Density of Dry Snow Layers From Hardness, and Hardness From Density | 3 |
| 20 | ENSO sensitivity to cumulus entrainment in a coupled GCM | 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) and Tropical and Extratropical Cyclones Research (54 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.