Nam Won Kim
Impact in
- Water Science and Technology top 1%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 1%
- Hydrological Forecasting Using AI
- Groundwater flow and contamination studies
Papers in
-
- Hydrology and Watershed Management Studies 47
-
- Hydrological Forecasting Using AI 22
- Groundwater flow and contamination studies 12
- Co-authors
- Jeongwoo Lee (18 shared papers)Il Moon Chung (7 shared papers)Jeffrey G. Arnold (1 shared paper)Sungwon Kim (7 shared papers)Jeong Eun Lee (15 shared papers)Vijay P. Singh (4 shared papers)Il-Moon Chung (12 shared papers)Meysam Alizamir (4 shared papers)
- Journals
- Water (7 papers)Hydrological Processes (3 papers)PLoS ONE (2 papers)Computers & Geosciences (2 papers)Applied Sciences (1 paper)
- Partner nations
- South KoreaUnited StatesIran
In The Last Decade
Nam Won Kim
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Water Science and Technology 906
- Environmental Engineering 684
- Global and Planetary Change 588
- Geochemistry and Petrology 99
- Soil Science 137
Countries citing papers authored by Nam Won Kim
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
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-authors
The 25 scholars most cited alongside Nam Won Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 325 | |
| 2 | 2020 | 91 | |
| 3 | 2018 | 86 | |
| 4 | 2008 | 84 | |
| 5 | 2019 | 68 | |
| 6 | 2010 | 66 | |
| 7 | 2020 | 64 | |
| 8 | 2019 | 50 | |
| 9 | 2012 | 43 | |
| 10 | 2006 | 43 | |
| 11 | 2010 | 32 | |
| 12 | 2009 | 31 | |
| 13 | 2019 | 27 | |
| 14 | 2016 | 25 | |
| 15 | 2010 | 23 | |
| 16 | 2017 | 22 | |
| 17 | 2020 | 20 | |
| 18 | 2020 | 20 | |
| 19 | 2011 | 20 | |
| 20 | 2018 | 17 |
About Nam Won Kim
Nam Won Kim is a scholar working on Water Science and Technology, Environmental Engineering, Global and Planetary Change, Soil Science and Geochemistry and Petrology, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (47 papers), Hydrological Forecasting Using AI (22 papers), Flood Risk Assessment and Management (15 papers), Groundwater flow and contamination studies (12 papers), Hydrology and Drought Analysis (9 papers), Soil erosion and sediment transport (8 papers), Climate variability and models (8 papers) and Groundwater and Isotope Geochemistry (6 papers). The work is most often cited by research in Water Science and Technology (906 citations), Environmental Engineering (684 citations), Global and Planetary Change (588 citations), Geochemistry and Petrology (99 citations) and Soil Science (137 citations). Nam Won Kim has collaborated with scholars based in South Korea, United States and Iran. Frequent co-authors include Jeongwoo Lee, Il Moon Chung, Jeffrey G. Arnold, Sungwon Kim, Jeong Eun Lee, Vijay P. Singh, Il-Moon Chung, Meysam Alizamir, Kyoung Jae Lim and Özgür Kişi. Their work appears in journals such as Water, Hydrological Processes, PLoS ONE, Computers & Geosciences and Applied Sciences.
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.