Sunghee Kim

957 citations
24 papers · 711 indexed · h-index 12
Topics
Hydrology and Watershed Management Studies (10 papers)Meteorological Phenomena and Simulations (8 papers)Hydrological Forecasting Using AI (5 papers)

In The Last Decade

Sunghee Kim

23 papers receiving 653 citations

Peers

Sunghee Kim
Comparison fields: 5 of 86
  • Global and Planetary Change 395
  • Ecology 281
  • Environmental Engineering 182
  • Atmospheric Science 167
  • Water Science and Technology 125
Replace Boshra Salem with:
Boshra Salem Egypt
Philippe Rufin Germany
Karis Tenneson United States
Stephen M. Chignell United States
E. Brown De Colstoun United States
Munkhnasan Lamchin South Korea
Thomas Higginbottom United Kingdom
Zhihai Gao China
Xiaoliang Lü China
Cesar Guerreiro Diniz Brazil
Sunghee Kim relative to Boshra Salem Egypt Boshra Salem's profile →
Citations per field
00.5×2.7×
Boshra Salem · 1×
Citations per year

Countries citing papers authored by Sunghee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sunghee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunghee Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghee Kim. A scholar is included among the top collaborators of Sunghee 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 Sunghee Kim. Sunghee Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 30
4 11
5 18
6 18
7 4
8 4
9 1
10 1
11 1
12 26
13 37
14 15
15 1
16 127
17 46
18 216
19 2
20
The Factors for the Formation of Carcinogenic N-Nitrosamine from Dried Marine Food Products
1

About Sunghee Kim

Sunghee Kim is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science, having authored 24 papers that have together received 711 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (10 papers), Meteorological Phenomena and Simulations (8 papers) and Hydrological Forecasting Using AI (5 papers). The work is most often cited by research in Global and Planetary Change (395 citations), Environmental Engineering (182 citations) and Media Technology (111 citations). Sunghee Kim has collaborated with scholars based in United States, South Korea and Paraguay. Frequent co-authors include Paul Davis, Chengquan Huang, Kuan Song, John Townshend, Samuel N. Goward, Jeffrey G. Masek, John Musinsky, Alberto Yanosky, Alice Altstatt and Compton J. Tucker. Their work appears in journals such as Remote Sensing of Environment, Journal of Hydrology and Inorganic Chemistry.

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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