Sunmin Kim

671 citations
66 papers · 451 · h-index 13

Impact in

Papers in

Sunmin Kim

55 papers receiving 409 citations

Peers

Sunmin Kim
Comparison fields: 5 of 60
  • Water Science and Technology 241
  • Global and Planetary Change 314
  • Atmospheric Science 189
  • Environmental Engineering 99
  • Parasitology 20
Replace Stéphane Savary with:
Stéphane Savary Canada
Issam Nouiri Tunisia
Kai Feng China
Carina Almeida Portugal
J. Sebastian Hernandez‐Suarez United States
Lidiane C. O. Costa Brazil
Paul K. Barten United States
Ayob Katimon Malaysia
Tsitsi Bangira South Africa
K. Okamoto Japan
Sunmin Kim relative to Stéphane Savary Canada Stéphane Savary's profile →
Citations per field
00.5×2.7×
Stéphane Savary · 1×
Citations per year

Countries citing papers authored by Sunmin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sunmin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201543
2 201227
3 201725
4 202324
5 201323
6 200819
7 200918
8 201618
9 201017
10 201115
11 201114
12
RECONSIDERATION OF RESERVOIR OPERATIONS UNDER CLIMATE CHANGE: CASE STUDY WITH YAGISAWA DAM, JAPAN
200914
13
PRECIPITATION CHANGES IN JAPAN UNDER THE A1B CLIMATE CHANGE SCENARIO
201013
14 201112
15 202211
16 200711
17 201110
18 202110
19 201610
20 20189

About Sunmin Kim

Sunmin Kim is a scholar working on Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering and Ecology, having authored 66 papers that have together received 451 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (34 papers), Flood Risk Assessment and Management (28 papers), Meteorological Phenomena and Simulations (24 papers), Hydrological Forecasting Using AI (16 papers), Climate variability and models (15 papers), Precipitation Measurement and Analysis (13 papers), Parasite Biology and Host Interactions (7 papers) and Parasitic infections in humans and animals (5 papers). The work is most often cited by research in Water Science and Technology (241 citations), Global and Planetary Change (314 citations), Atmospheric Science (189 citations), Environmental Engineering (99 citations) and Parasitology (20 citations). Sunmin Kim has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Yasuto Tachikawa, Eiichi NAKAKITA, Kaoru Takara, Kosei Yamaguchi, Michiharu Shiiba, Kazuaki YOROZU, Seong Jin Noh, Takahiro Sayama, Tetsuya Takemi and Hirohiko Ishikawa. Their work appears in journals such as Journal of Hydrologic Engineering, Journal of Hydrology, Hydrological Processes, Parasitology Research and International Journal of Infectious Diseases.

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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