Shaun Kim

429 total citations
42 papers, 342 citations indexed

About

Shaun Kim is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Shaun Kim has authored 42 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Water Science and Technology, 24 papers in Global and Planetary Change and 12 papers in Ecology. Recurrent topics in Shaun Kim's work include Hydrology and Watershed Management Studies (24 papers), Flood Risk Assessment and Management (22 papers) and Hydrology and Sediment Transport Processes (10 papers). Shaun Kim is often cited by papers focused on Hydrology and Watershed Management Studies (24 papers), Flood Risk Assessment and Management (22 papers) and Hydrology and Sediment Transport Processes (10 papers). Shaun Kim collaborates with scholars based in Australia, South Korea and United States. Shaun Kim's 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 and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

Shaun Kim

40 papers receiving 338 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shaun Kim Australia 10 194 174 83 74 57 42 342
Marius G. Floriancic Switzerland 8 160 0.8× 140 0.8× 34 0.4× 49 0.7× 27 0.5× 23 300
Harry Edmar Schulz Brazil 11 67 0.3× 33 0.2× 97 1.2× 60 0.8× 41 0.7× 63 382
Hung Nguyen United States 9 102 0.5× 143 0.8× 22 0.3× 14 0.2× 54 0.9× 24 252
Yanina Parshakova Russia 10 124 0.6× 29 0.2× 93 1.1× 47 0.6× 32 0.6× 52 362
Carlos A. Vionnet Argentina 9 110 0.6× 59 0.3× 107 1.3× 74 1.0× 15 0.3× 23 337
Cheng‐lung Chen United States 7 112 0.6× 193 1.1× 149 1.8× 31 0.4× 20 0.4× 7 447
H. A. Schreiber United States 13 79 0.4× 108 0.6× 41 0.5× 32 0.4× 14 0.2× 47 442
Jakob Jakobsen Denmark 10 69 0.4× 125 0.7× 99 1.2× 150 2.0× 30 0.5× 20 406
Ben Cook United States 4 102 0.5× 211 1.2× 69 0.8× 22 0.3× 33 0.6× 7 396
Ludovic Cassan France 10 92 0.5× 70 0.4× 251 3.0× 20 0.3× 11 0.2× 46 390

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-authorship network of co-authors of Shaun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Kim. A scholar is included among the top collaborators of Shaun 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 Shaun Kim. Shaun 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
1.
2.
Kim, Shaun, et al.. (2024). Development of a Novel Hydrogen Burner Using Additive Manufacturing. 1 indexed citations
3.
Blamey, Laura K., Éva E. Plagányi, Julie B. Robins, et al.. (2023). Altering river flow impacts estuarine species and catches: lessons from giant mud crabs. ICES Journal of Marine Science. 80(9). 2295–2312. 3 indexed citations
4.
Plagányi, Éva E., Rob Kenyon, Laura K. Blamey, et al.. (2023). Integrated assessment of river development on downstream marine fisheries and ecosystems. Nature Sustainability. 7(1). 31–44. 16 indexed citations
5.
Crosbie, Russell S., et al.. (2023). Changes in the surface water – Groundwater interactions of the Murray-Darling basin (Australia) over the past half a century. Journal of Hydrology. 622. 129683–129683. 11 indexed citations
6.
Kim, Shaun, Lucy Marshall, Justin Hughes, et al.. (2023). Improving the statistical reliability of river model predictions via simple state adjustments. Environmental Modelling & Software. 171. 105858–105858. 1 indexed citations
7.
Kim, Shaun, Justin Hughes, Lucy Marshall, et al.. (2022). Modelling daily transmission losses in basin‐scale river system models under changing hydrological regimes. Hydrological Processes. 36(6). 4 indexed citations
8.
Park, Jung Kyu, et al.. (2021). Numerical Investigation of the Pressure Effect on the NOx Formation in a Lean-Premixed Gas Turbine Combustor. Energy & Fuels. 35(8). 6776–6784. 8 indexed citations
9.
Vaze, Jai, Shaun Kim, Steve Marvanek, et al.. (2018). Floodplain Inundation Modelling for the Edward-Wakool Region. CSIRO. 1 indexed citations
10.
11.
12.
Dutta, Dushmanta, et al.. (2013). A new river system modelling tool for sustainable operational management of water resources. Journal of Environmental Management. 121. 13–28. 27 indexed citations
13.
Hughes, Justin, D. Dutta, Jai Vaze, Shaun Kim, & G Podger. (2013). An automated multi-step calibration procedure for a river system model. Environmental Modelling & Software. 51. 173–183. 13 indexed citations
14.
Dutta, Dushmanta, et al.. (2012). A Daily River System Model for the Murray-Darling Basin: Development, Testing and Implementation. 1057. 7 indexed citations
15.
Kim, Shaun, Jai Vaze, Dushmanta Dutta, Justin Hughes, & Warrick Dawes. (2012). Investigation of different loss and gain accounting methodologies for river system modelling. 1342. 1 indexed citations
16.
Dutta, Dushmanta, et al.. (2012). A river modelling platform for building a simplified daily river system model for the Murray-Darling Basin. 1141. 2 indexed citations
17.
Hughes, Justin, Dushmanta Dutta, Shaun Kim, Jai Vaze, & G Podger. (2012). The effect of stream network simplification on river model performance. 1032. 1 indexed citations
18.
Yeo, Jongchan, et al.. (2012). Mechanically and structurally robust sulfonated block copolymer membranes for water purification applications. Nanotechnology. 23(24). 245703–245703. 18 indexed citations
19.
Chen, Jie, et al.. (2011). Visualising Equivalent System Networks in the NetLP optimisation of water distribution systems. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
20.
Kim, Shaun, et al.. (2011). Improvement in short-term streamflow forecasting using an integrated modelling framework. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 6 indexed citations

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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