Hyungjun Kim
- Global and Planetary Change top 0.2%
- Water Science and Technology top 0.1%
- Atmospheric Science top 1%
- Environmental Engineering top 1%
- Ecology top 2%
- Co-authors
- Shinjiro KanaeDai YamazakiTaikan OkiSujan KoiralaYukiko HirabayashiSatoshi WATANABEMahendran RoobavannanYoshihide Wada
- Topics
- Climate variability and models (48 papers)Meteorological Phenomena and Simulations (32 papers)Flood Risk Assessment and Management (31 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Hyungjun Kim
124 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Global and Planetary Change 4.9k
- Water Science and Technology 3.1k
- Atmospheric Science 1.8k
- Environmental Engineering 760
- Ecology 688
Countries citing papers authored by Hyungjun Kim
This map shows the geographic impact of Hyungjun 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 Hyungjun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyungjun Kim more than expected).
Fields of papers citing papers by Hyungjun Kim
This network shows the impact of papers produced by Hyungjun 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 Hyungjun Kim. The network helps show where Hyungjun Kim may publish in the future.
Co-authorship network of co-authors of Hyungjun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyungjun Kim. A scholar is included among the top collaborators of Hyungjun 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 Hyungjun Kim. Hyungjun 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 | 2 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | The timing of unprecedented hydrological drought under climate changebreakdown → | 181 |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 15 | |
| 14 | 2 | |
| 15 | Flood and heatwave in Japan 2018 and future increase of consecutive compound risk in a warmer world | 3 |
| 16 | 30 | |
| 17 | 17 | |
| 18 | 127 | |
| 19 | Water scarcity hotspots travel downstream due to human interventions in the 20th and 21st centurybreakdown → | 368 |
| 20 | Numerical Simulation of Flood Inundation with Quadtree Grid | 2 |
About Hyungjun Kim
Hyungjun Kim is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology, having authored 134 papers that have together received 7.4k indexed citations. Recurring topics across this work include Climate variability and models (48 papers), Meteorological Phenomena and Simulations (32 papers) and Flood Risk Assessment and Management (31 papers). The work is most often cited by research in Global and Planetary Change (4.9k citations), Water Science and Technology (3.1k citations) and Atmospheric Science (1.8k citations). Hyungjun Kim has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Shinjiro Kanae, Dai Yamazaki, Taikan Oki, Sujan Koirala, Yukiko Hirabayashi, Satoshi WATANABE, Mahendran Roobavannan, Yoshihide Wada, Yadu Pokhrel and Simon N. Gosling. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.