Shaun Kim

40 papers receiving 352 citations

Peers

Shaun Kim
Comparison fields: 5 of 57
  • Water Science and Technology 196
  • Global and Planetary Change 176
  • Environmental Engineering 74
  • Fluid Flow and Transfer Processes 27
  • Ocean Engineering 58
Replace Marius G. Floriancic with:
Marius G. Floriancic Switzerland
Harry Edmar Schulz Brazil
Hung Nguyen United States
Cheng‐lung Chen United States
Carlos A. Vionnet Argentina
Yanina Parshakova Russia
Rafael García-Bartual Spain
H. A. Schreiber United States
Ludovic Cassan France
Ben Cook United States
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Citations per field
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Marius G. Floriancic · 1×
Citations per year

Countries citing papers authored by Shaun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201473
2 201236
3 201327
4 201723
5 202321
6 201218
7 201715
8 201313
9 202312
10 201110
11 20108
12 20218
13 20138
14
A Daily River System Model for the Murray-Darling Basin: Development, Testing and Implementation
20127
15 20157
16 20157
17 20116
18 20196
19 20215
20 20235

About Shaun Kim

Shaun Kim is a scholar working on Water Science and Technology, Global and Planetary Change, Ecology, Environmental Engineering and Computational Mechanics, having authored 42 papers that have together received 355 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (24 papers), Flood Risk Assessment and Management (22 papers), Hydrology and Sediment Transport Processes (10 papers), Hydrological Forecasting Using AI (7 papers), Combustion and flame dynamics (5 papers), Advanced Combustion Engine Technologies (4 papers), Water resources management and optimization (3 papers) and Fish Ecology and Management Studies (3 papers). The work is most often cited by research in Water Science and Technology (196 citations), Global and Planetary Change (176 citations), Environmental Engineering (74 citations), Fluid Flow and Transfer Processes (27 citations) and Ocean Engineering (58 citations). Shaun Kim has collaborated with scholars based in Australia, South Korea and United States. Frequent co-authors include Dushmanta Dutta, Jai Vaze, Justin Hughes, Julien Lerat, David Nicholls, Cuan Petheram, Steve Marvanek, Fazlul Karim, Catherine Ticehurst and Jung Kyu Park. Their work appears in journals such as Journal of Hydrology, Environmental Modelling & Software, Water Resources Management, Hydrological Processes and Water Resources Research.

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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