Ungtae Kim

842 total citations
28 papers, 597 citations indexed

About

Ungtae Kim is a scholar working on Environmental Engineering, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Ungtae Kim has authored 28 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 12 papers in Ocean Engineering and 12 papers in Global and Planetary Change. Recurrent topics in Ungtae Kim's work include Groundwater flow and contamination studies (10 papers), Water resources management and optimization (9 papers) and Hydrology and Watershed Management Studies (8 papers). Ungtae Kim is often cited by papers focused on Groundwater flow and contamination studies (10 papers), Water resources management and optimization (9 papers) and Hydrology and Watershed Management Studies (8 papers). Ungtae Kim collaborates with scholars based in United States, South Korea and Iran. Ungtae Kim's co-authors include Jagath J. Kaluarachchi, Jack Parker, Vladimir Smakhtin, Ali Nahvi, Peter K. Kitanidis, Jeongdae Im, Jae‐Jin Lee, Frank E. Löffler, Xiaoyi Liu and Michael Cardiff and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Ungtae Kim

28 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ungtae Kim United States 14 317 300 209 156 67 28 597
Kamran Davary Iran 17 373 1.2× 293 1.0× 285 1.4× 168 1.1× 91 1.4× 58 740
Trần Văn Tỷ Vietnam 14 310 1.0× 268 0.9× 111 0.5× 88 0.6× 49 0.7× 48 542
Meysam Salarijazi Iran 13 261 0.8× 209 0.7× 144 0.7× 105 0.7× 52 0.8× 45 489
Francis I. Chung United States 12 343 1.1× 203 0.7× 139 0.7× 254 1.6× 52 0.8× 33 548
M Mousavi Baygi Iran 11 179 0.6× 375 1.3× 212 1.0× 76 0.5× 120 1.8× 33 664
Toshiharu Kojiri Japan 14 464 1.5× 321 1.1× 232 1.1× 228 1.5× 88 1.3× 65 752
Barnabas Amisigo Ghana 14 230 0.7× 256 0.9× 97 0.5× 88 0.6× 78 1.2× 27 552
Jialiang Cai China 11 279 0.9× 133 0.4× 140 0.7× 142 0.9× 32 0.5× 28 526
Ashok Mishra India 13 281 0.9× 281 0.9× 183 0.9× 106 0.7× 42 0.6× 23 531
Supiah Shamsudin Malaysia 9 246 0.8× 461 1.5× 204 1.0× 68 0.4× 148 2.2× 25 654

Countries citing papers authored by Ungtae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ungtae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ungtae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ungtae Kim. A scholar is included among the top collaborators of Ungtae 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 Ungtae Kim. Ungtae 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.
Choi, Jeonghyeon, Ungtae Kim, & Sangdan Kim. (2023). Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins. The Science of The Total Environment. 903. 166617–166617. 10 indexed citations
2.
Nahvi, Ali, et al.. (2020). Seeking Substantiality: Evaluation of Public Attitudes toward Resilient Wastewater Reuse Management. Journal of Water Management Modeling. 2 indexed citations
3.
Baik, Jongjin, et al.. (2019). Agricultural drought assessment based on multiple soil moisture products. Journal of Arid Environments. 167. 43–55. 31 indexed citations
4.
Kim, Dongkyun, Minha Choi, Jong‐Ho Kim, & Ungtae Kim. (2019). Advances in Remote Sensing to Understand Extreme Hydrological Events. Advances in Meteorology. 2019. 1–2. 2 indexed citations
5.
Kim, Ungtae, Jack Parker, & Robert C. Borden. (2018). Stochastic cost-optimization and risk assessment of in situ chemical oxidation for dense non-aqueous phase liquid (DNAPL) source remediation. Stochastic Environmental Research and Risk Assessment. 33(1). 73–89. 3 indexed citations
6.
7.
Park, Yoonkyung, Ananta Man Singh Pradhan, Ungtae Kim, Yun-Tae Kim, & Sangdan Kim. (2016). Development and Application of Urban Landslide Vulnerability Assessment Methodology Reflecting Social and Economic Variables. Advances in Meteorology. 2016. 1–13. 12 indexed citations
8.
Lee, Jae‐Jin, Jeongdae Im, Ungtae Kim, & Frank E. Löffler. (2016). A Data Mining Approach to Predict In Situ Detoxification Potential of Chlorinated Ethenes. Environmental Science & Technology. 50(10). 5181–5188. 36 indexed citations
9.
Kim, Ungtae, et al.. (2016). Iot based Indoor Air Quality Monitoring System. The Journal of the Korea Contents Association. 16(2). 143–151. 2 indexed citations
10.
11.
Waseem, Muhammad, Muhammad Ajmal, Ungtae Kim, & Tae‐Woong Kim. (2015). Development and evaluation of an extended inverse distance weighting method for streamflow estimation at an ungauged site. Hydrology research. 47(2). 333–343. 10 indexed citations
12.
Kim, Ungtae, et al.. (2012). Stochastic cost optimization of DNAPL remediation – Field application. Environmental Modelling & Software. 46. 12–20. 2 indexed citations
13.
Liu, Xiaoyi, Jonghyun Lee, Peter K. Kitanidis, Jack Parker, & Ungtae Kim. (2012). Value of Information as a Context-Specific Measure of Uncertainty in Groundwater Remediation. Water Resources Management. 26(6). 1513–1535. 16 indexed citations
14.
Cardiff, Michael, Xiaoyi Liu, Peter K. Kitanidis, Jack Parker, & Ungtae Kim. (2010). Cost optimization of DNAPL source and plume remediation under uncertainty using a semi-analytic model. Journal of Contaminant Hydrology. 113(1-4). 25–43. 18 indexed citations
15.
Parker, Jack, Ungtae Kim, Mark A. Widdowson, Peter K. Kitanidis, & Randall W. Gentry. (2010). Effects of model formulation and calibration data on uncertainty in dense nonaqueous phase liquids source dissolution predictions. Water Resources Research. 46(12). 14 indexed citations
16.
Al-Juaidi, Ahmed E. M., Jagath J. Kaluarachchi, & Ungtae Kim. (2010). Multi‐Criteria Decision Analysis of Treated Wastewater Use for Agriculture in Water Deficit Regions1. JAWRA Journal of the American Water Resources Association. 46(2). 395–411. 18 indexed citations
17.
Kim, Ungtae & Jagath J. Kaluarachchi. (2009). Hydrologic model calibration using discontinuous data: an example from the upper Blue Nile River Basin of Ethiopia. Hydrological Processes. 23(26). 3705–3717. 15 indexed citations
18.
Kim, Ungtae & Jagath J. Kaluarachchi. (2008). Application of parameter estimation and regionalization methodologies to ungauged basins of the Upper Blue Nile River Basin, Ethiopia. Journal of Hydrology. 362(1-2). 39–56. 95 indexed citations
19.
Kim, Ungtae, Jagath J. Kaluarachchi, & Vladimir Smakhtin. (2008). Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin, Ethiopia1. JAWRA Journal of the American Water Resources Association. 44(5). 1231–1247. 54 indexed citations
20.
Kim, Ungtae, et al.. (2008). Climate change impacts on hydrology and water resources of the Upper Blue Nile River Basin, Ethiopia. AgEcon Search (University of Minnesota, USA). 22 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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