Sunghun Kim

863 citations
41 papers · 601 indexed · h-index 14
Topics
Climate variability and models (9 papers)Hydrological Forecasting Using AI (5 papers)Hydrology and Drought Analysis (4 papers)

In The Last Decade

Sunghun Kim

33 papers receiving 572 citations

Peers

Sunghun Kim
Comparison fields: 5 of 113
  • Information Systems 154
  • Software 119
  • Global and Planetary Change 117
  • Atmospheric Science 62
  • Water Science and Technology 62
Replace Bikash Sharma with:
Bikash Sharma United States
Naveen Chandra India
P. Thambidurai India
Gilles Roussel France
Yichen Li China
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Sunghun Kim relative to Bikash Sharma United States Bikash Sharma's profile →
Citations per field
00.5×5.0×
Bikash Sharma · 1×
Citations per year

Countries citing papers authored by Sunghun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sunghun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunghun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghun Kim. A scholar is included among the top collaborators of Sunghun 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 Sunghun Kim. Sunghun 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 1
2 0
3 0
4 13
5 4
6 35
7 34
8 10
9 2
10
Sport Fans' Meanings to Sporting Spaces
0
11
Relationship between use motives of SNS and Perceived value and Continuance Intention in professional baseball teams
2
12 32
13 11
14 6
15 19
16 10
17 11
18 21
19 5
20
Effects of Tang-gwi-eum-za-gagambang along with External Spray Therapy on the Spontaneously Occurring Atopic Dermatitis Development in NC/Nga Mouse
1

About Sunghun Kim

Sunghun Kim is a scholar working on Software, Global and Planetary Change and Atmospheric Science, having authored 41 papers that have together received 601 indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Hydrological Forecasting Using AI (5 papers) and Hydrology and Drought Analysis (4 papers). The work is most often cited by research in Software (119 citations), Information Systems (154 citations) and Anesthesiology and Pain Medicine (31 citations). Sunghun Kim has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Jun‐Haeng Heo, Andreas Zeller, Yida Tao, Dongsun Kim, Ju‐Young Shin, Taereem Kim, Hanbeen Kim, Joseph P. Ogden, Yeon-Dong Kim and Hyungtae Kim. Their work appears in journals such as PLoS ONE, Journal of Hydrology and Molecules.

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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