Nam Won Kim

1.7k total citations
68 papers, 1.3k citations indexed

About

Nam Won Kim is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Nam Won Kim has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Water Science and Technology, 33 papers in Environmental Engineering and 28 papers in Global and Planetary Change. Recurrent topics in Nam Won Kim's work include Hydrology and Watershed Management Studies (47 papers), Hydrological Forecasting Using AI (22 papers) and Flood Risk Assessment and Management (15 papers). Nam Won Kim is often cited by papers focused on Hydrology and Watershed Management Studies (47 papers), Hydrological Forecasting Using AI (22 papers) and Flood Risk Assessment and Management (15 papers). Nam Won Kim collaborates with scholars based in South Korea, United States and Iran. Nam Won Kim's co-authors include Jeongwoo Lee, Il Moon Chung, Jeffrey G. Arnold, Sungwon Kim, Jeong Eun Lee, Il-Moon Chung, Vijay P. Singh, Meysam Alizamir, Kyoung Jae Lim and Özgür Kişi and has published in prestigious journals such as PLoS ONE, Cancer and Journal of Hydrology.

In The Last Decade

Nam Won Kim

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nam Won Kim South Korea	19	896	672	580	141	135	68	1.3k
Jong Ahn Chun South Korea	21	589 0.7×	494 0.7×	565 1.0×	147 1.0×	116 0.9×	64	1.4k
Javier Senent‐Aparicio Spain	25	1.1k 1.2×	550 0.8×	853 1.5×	189 1.3×	137 1.0×	78	1.5k
Julian Koch Denmark	22	833 0.9×	635 0.9×	759 1.3×	300 2.1×	64 0.5×	61	1.5k
Weihong Liao China	22	877 1.0×	431 0.6×	743 1.3×	284 2.0×	250 1.9×	73	1.7k
Caihong Hu China	21	1.1k 1.2×	1.0k 1.6×	1.1k 1.9×	264 1.9×	111 0.8×	68	1.8k
P. J. Restrepo United States	16	1.1k 1.2×	600 0.9×	865 1.5×	414 2.9×	79 0.6×	29	1.5k
Zhicai Zhang China	24	791 0.9×	450 0.7×	625 1.1×	265 1.9×	290 2.1×	63	1.6k
Julio Pérez‐Sánchez Spain	23	810 0.9×	421 0.6×	654 1.1×	121 0.9×	108 0.8×	47	1.1k
Ping Feng China	24	790 0.9×	380 0.6×	1.1k 1.9×	279 2.0×	70 0.5×	134	1.7k

Countries citing papers authored by Nam Won Kim

Since Specialization

Citations

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

Fields of papers citing papers by Nam Won Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam Won Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Jeongwoo, et al.. (2023). Basin‐scale monthly rainfall forecasts with a data‐driven model using lagged global climate indices and future predicted rainfall of an adjacent basin. International Journal of Climatology. 43(7). 3139–3158. 2 indexed citations

Kim, Sungwon, Mohammad Rezaie-Balf, Vijay P. Singh, et al.. (2021). Assessment of the total organic carbon employing the different nature-inspired approaches in the Nakdong River, South Korea. Environmental Monitoring and Assessment. 193(7). 445–445. 13 indexed citations

Lee, Jeongwoo, Jeong Eun Lee, & Nam Won Kim. (2020). Estimation of Hourly Flood Hydrograph from Daily Flows Using Artificial Neural Network and Flow Disaggregation Technique. Water. 13(1). 30–30. 10 indexed citations

Alizamir, Meysam, Özgür Kişi, Ali Najah Ahmed, et al.. (2020). Advanced machine learning model for better prediction accuracy of soil temperature at different depths. PLoS ONE. 15(4). e0231055–e0231055. 85 indexed citations

Malik, Anurag, Anil Kumar, Sinan Q. Salih, et al.. (2020). Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India. PLoS ONE. 15(5). e0233280–e0233280. 61 indexed citations

Cho, Jaepil, et al.. (2018). Assessing hydrologic impact of climate change in Jeju Island using multiple GCMs and watershed modeling. Journal of Korea Water Resources Association. 51(1). 11–18. 1 indexed citations

Lee, Jeongwoo, et al.. (2018). Application of Artificial Neural Networks to Rainfall Forecasting in the Geum River Basin, Korea. Water. 10(10). 1448–1448. 83 indexed citations

Lee, Eun Ji, Yun‐Woo Chang, Yoon Jin, & Nam Won Kim. (2018). Multimodality images of myofibroblastoma in the male breast: A case report and a review of the literature. Clinical Imaging. 51. 300–306. 6 indexed citations

Kim, Nam Won, Mun-Ju Shin, & Jeong Eun Lee. (2016). Application of runoff coefficient and rainfall-intensity-ratio to analyze the relationship between storm patterns and flood responses. 8 indexed citations

10.

Kim, Nam Won, et al.. (2015). Effect of Observed Discharge Data on Regional Flood Frequency Analysis in the Han River Basin. Journal of Korea Water Resources Association. 48(6). 511–522. 3 indexed citations

11.

Jung, Yong Chae, et al.. (2015). Dam Effects on Spatial Extension of Flood Discharge Data and Flood Reduction Scale II. Journal of Korea Water Resources Association. 48(3). 221–231. 2 indexed citations

12.

Kim, Nam Won, et al.. (2015). Dam Effects on Spatial Extension of Flood Discharge Data and Flood Reduction Scale I. Journal of Korea Water Resources Association. 48(3). 209–220. 2 indexed citations

13.

Kim, Nam Won, et al.. (2014). Assessing the Effect of Upstream Dam Outflows and River Water Uses on the Inflows to the Paldang Dam. Journal of Korea Water Resources Association. 47(11). 1017–1026. 1 indexed citations

14.

Kim, Nam Won, et al.. (2013). Inadvertent intrathecal dobutamine administration and barbiturate induced nystagmus -A case report-. Anesthesia and Pain Medicine. 8(1). 26–29. 1 indexed citations

15.

Kim, Nam Won, Jeongwoo Lee, Il Moon Chung, & Min Ho Lee. (2013). Combined Effects of Groundwater Abstraction and Irrigation Reservoir on Streamflow. Journal of Korea Water Resources Association. 46(7). 719–733. 6 indexed citations

16.

Kim, Nam Won, et al.. (2010). SWAT application to estimate design runoff curve number for South Korean conditions. Hydrological Processes. 24(15). 2156–2170. 32 indexed citations

17.

Kim, Nam Won, et al.. (2006). An Integrated Surface Water-Groundwater Modeling by Using Fully Combined SWAT MODFLOW Model. Journal of the Korean Society of Civil Engineers. 26. 481–488. 5 indexed citations

18.

Kim, Nam Won, et al.. (2004). The Development of Fully Coupled SWAT-MODFLOW Model. 1057–1061. 1 indexed citations

19.

Kim, Nam Won, et al.. (2004). Simulation of Daily Streamflows by SWAT Based on GIS. 724–730. 1 indexed citations

20.

Kim, Nam Won & Jeong Eun Lee. (2004). Catchment Response and Parameters of Clark Model. 1188–1192.

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.

Explore authors with similar magnitude of impact