Eung Seok Kim

514 total citations
26 papers, 409 citations indexed

About

Eung Seok Kim is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Eung Seok Kim has authored 26 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 5 papers in Atmospheric Science. Recurrent topics in Eung Seok Kim's work include Flood Risk Assessment and Management (10 papers), Hydrology and Watershed Management Studies (10 papers) and Climate variability and models (5 papers). Eung Seok Kim is often cited by papers focused on Flood Risk Assessment and Management (10 papers), Hydrology and Watershed Management Studies (10 papers) and Climate variability and models (5 papers). Eung Seok Kim collaborates with scholars based in South Korea and United States. Eung Seok Kim's co-authors include Joong Hoon Kim, Zong Woo Geem, Hyun Il Choi, Sangdan Kim, Okjeong Lee, Yoonkyung Park, Gunhui Chung, Hyun Suk Shin, Jeonghoon Lee and Jung Ho Lee and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Natural Hazards and JAWRA Journal of the American Water Resources Association.

In The Last Decade

Eung Seok Kim

23 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eung Seok Kim South Korea	7	169	147	83	77	66	26	409
Seyed Mohammad Ashrafi Iran	12	127 0.8×	165 1.1×	82 1.0×	71 0.9×	150 2.3×	43	402
Wenchong Tian China	12	129 0.8×	157 1.1×	206 2.5×	91 1.2×	85 1.3×	32	453
Matteo Sangiorgio Italy	10	83 0.5×	147 1.0×	64 0.8×	34 0.4×	114 1.7×	28	575
Jianzhong Zhou China	12	189 1.1×	195 1.3×	101 1.2×	74 1.0×	113 1.7×	19	485
Guorong Chen China	10	96 0.6×	85 0.6×	132 1.6×	21 0.3×	39 0.6×	28	353
Roozbeh Moazenzadeh Iran	11	259 1.5×	248 1.7×	339 4.1×	57 0.7×	46 0.7×	15	707
Slavco Velickov Netherlands	6	146 0.9×	211 1.4×	299 3.6×	124 1.6×	31 0.5×	9	612
Amin Mahdavi‐Meymand Iran	15	170 1.0×	232 1.6×	348 4.2×	146 1.9×	54 0.8×	40	656
Robert J. May Australia	6	169 1.0×	252 1.7×	335 4.0×	109 1.4×	53 0.8×	9	565
Chia-Hsin Cheng Taiwan	10	128 0.8×	185 1.3×	130 1.6×	49 0.6×	81 1.2×	30	522

Countries citing papers authored by Eung Seok Kim

Since Specialization

Citations

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

Fields of papers citing papers by Eung Seok Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eung Seok Kim

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

All Works

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20 of 20 papers shown

Lee, Okjeong, et al.. (2017). Estimation of Optimum Bio-retention Design Capacity Using the Law of Diminishing Returns. Korean Society of Hazard Mitigation. 17(5). 393–400. 1 indexed citations

Kim, Eung Seok, Sangdan Kim, & Jeonghoon Lee. (2017). Probabilistic solution of steady-state soil water storage and plant water stress equation using cumulant expansion theory. Desalination and Water Treatment. 63. 449–454. 1 indexed citations

Chung, Gunhui, et al.. (2016). Hourly Precipitation Simulation Characteristic Analysis Using Markov Chain Model. Korean Society of Hazard Mitigation. 16(3). 351–357. 2 indexed citations

Chung, Gunhui, et al.. (2016). Correlation Relationship between SWMM Parameters and Sensitivity Analysis. Korean Society of Hazard Mitigation. 16(6). 397–402.

Chung, Gunhui, et al.. (2015). Uncertainty Quantification Index of SWMM Model Parameters. Journal of Korea Water Resources Association. 48(2). 105–114. 6 indexed citations

Kim, Sangdan, et al.. (2015). Trend Analysis of 1-Day Probable Maximum Precipitation. Korean Society of Hazard Mitigation. 15(1). 369–375. 6 indexed citations

Chung, Gunhui, et al.. (2015). The Sensitivity and Uncertainty Analysis of SWMM Water Quality Parameters. Korean Society of Hazard Mitigation. 15(5). 247–253. 1 indexed citations

Lee, Okjeong, et al.. (2015). 1-day Probable Maximum Precipitation in accordance with AR5 RCPs in Korea. Korean Society of Hazard Mitigation. 15(4). 273–280. 5 indexed citations

Kim, Eung Seok & Hyun Il Choi. (2015). A method of flood severity assessment for predicting local flood hazards in small ungauged catchments. Natural Hazards. 78(3). 2017–2033. 11 indexed citations

10.

Kim, Eung Seok, et al.. (2014). Lake Environmental Risk Index using PSR Framework. Korean Society of Hazard Mitigation. 14(2). 317–326. 1 indexed citations

11.

Kim, Eung Seok, et al.. (2014). Evaluation of Inherent Flood Vulnerability in Seoul Administrative Districts Using Flood Protection Capacity and Damage Matrix. Korean Society of Hazard Mitigation. 14(2). 299–307. 1 indexed citations

12.

Lee, Jung Ho, et al.. (2014). Estimation of Flood Forecasting and Warning Rainfall Thresholds in Backwater Lengths of a Urban River. Korean Society of Hazard Mitigation. 14(6). 379–385. 2 indexed citations

13.

Kim, Eung Seok, et al.. (2013). Estimation of the Flood Warning Rainfall Threshold Considering Agricultural Reservoirs. Korean Society of Hazard Mitigation. 13(2). 227–236. 1 indexed citations

14.

Kim, Eung Seok, et al.. (2013). Analysis and Prediction on Water Quality Improvements by Aquatic Plants in a Storage. Korean Society of Hazard Mitigation. 13(6). 439–446. 1 indexed citations

15.

Kim, Eung Seok, et al.. (2013). Analysis of Water Quality Improvement by Lake Dredging. Korean Society of Hazard Mitigation. 13(2). 327–336. 3 indexed citations

16.

Kim, Eung Seok, et al.. (2013). Analysis of the Disaster Environmental Change Considering Climate Change : 2. Flood Risk Area Assessment. Korean Society of Hazard Mitigation. 13(4). 219–226. 1 indexed citations

17.

Kim, Eung Seok, et al.. (2013). Analysis of the Disaster Environmental Change Considering Climate Change : 1. Analysis of Flood Elevation. Korean Society of Hazard Mitigation. 13(4). 207–217. 3 indexed citations

18.

Kim, Eung Seok & Hyun Il Choi. (2012). Estimation of the Relative Severity of Floods in Small Ungauged Catchments for Preliminary Observations on Flash Flood Preparedness: A Case Study in Korea. International Journal of Environmental Research and Public Health. 9(4). 1507–1522. 15 indexed citations

19.

Kim, Eung Seok, Hyun Il Choi, & Sangdan Kim. (2011). Implementation of a topographically controlled runoff scheme for land surface parameterizations in regional climate models. KSCE Journal of Civil Engineering. 15(7). 1309–1318. 4 indexed citations

20.

Kim, Eung Seok & Hyun Il Choi. (2011). Assessment of Vulnerability to Extreme Flash Floods in Design Storms. International Journal of Environmental Research and Public Health. 8(7). 2907–2922. 25 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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