Sangdan Kim

2.3k citations
205 papers · 1.9k · h-index 22

Impact in

Papers in

Sangdan Kim

197 papers receiving 1.7k citations

Peers

Sangdan Kim
Comparison fields: 5 of 96
  • Global and Planetary Change 1.2k
  • Water Science and Technology 737
  • Environmental Engineering 541
  • Atmospheric Science 424
  • Modeling and Simulation 50
Replace Kun Zhang with:
Kun Zhang China
Graham Sander United Kingdom
Hengchun Ye United States
Aleksey Y. Sheshukov United States
M. S. Mohan Kumar India
Heng Dai China
Qingchun Guo China
Biswajit Mukhopadhyay United States
Ren Li China
Xian-zhong Mao China
Sangdan Kim relative to Kun Zhang China Kun Zhang's profile →
Citations per field
00.5×4.2×
Kun Zhang · 1×
Citations per year

Countries citing papers authored by Sangdan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangdan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sangdan Kim, 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 Sangdan Kim Line = papers co-authored together Sangdan Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 205 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020114
2 2007110
3 200463
4 200560
5 201042
6 201342
7 201941
8 201634
9 201432
10 200927
11 201826
12 201025
13 202025
14 201024
15 201724
16 200424
17 202224
18 202223
19 200923
20 201822

About Sangdan Kim

Sangdan Kim is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Atmospheric Science and Ecology, Evolution, Behavior and Systematics, having authored 205 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (72 papers), Climate variability and models (63 papers), Hydrology and Drought Analysis (48 papers), Flood Risk Assessment and Management (31 papers), Meteorological Phenomena and Simulations (30 papers), Urban Stormwater Management Solutions (26 papers), Hydrological Forecasting Using AI (25 papers) and Precipitation Measurement and Analysis (19 papers). The work is most often cited by research in Global and Planetary Change (1.2k citations), Water Science and Technology (737 citations), Environmental Engineering (541 citations), Atmospheric Science (424 citations) and Modeling and Simulation (50 citations). Sangdan Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Okjeong Lee, Jeongeun Won, Jeonghyeon Choi, M. L. Kavvas, Chulsang Yoo, Jaeyoung Yoon, Sanghyun Ju, Yoonkyung Park, Lee-Hyung Kim and Jeonghoon Lee. Their work appears in journals such as Water, Journal of Hydrologic Engineering, Atmosphere, Ecological Engineering and Journal of Luminescence.

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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