Seoro Lee

402 citations
28 papers · 257 · h-index 10

Impact in

Papers in

Seoro Lee

26 papers receiving 247 citations

Peers

Seoro Lee
Comparison fields: 5 of 50
  • Water Science and Technology 156
  • Environmental Engineering 132
  • Soil Science 50
  • Global and Planetary Change 88
  • Ecology 49
Replace Seyed Hossein Sanaei Nejad with:
Seyed Hossein Sanaei Nejad Iran
Micael de Souza Fraga Brazil
A. Salim Bawazir United States
Sirisha Adamala India
Mahmoud Saleh Al-Khafaji Iraq
Junxiang Cheng China
Prabhat Kumar Singh Dikshit India
Abolfazl Moeini Iran
Juan Naves Spain
Seoro Lee relative to Seyed Hossein Sanaei Nejad Iran Seyed Hossein Sanaei Nejad's profile →
Citations per field
00.5×1.5×2.4×
Seyed Hossein Sanaei Nejad · 1×
Citations per year

Countries citing papers authored by Seoro Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seoro Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Seoro Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seoro Lee Line = papers co-authored together Seoro Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 202135
3 202126
4 202121
5 201916
6 202415
7 202415
8 202111
9 202410
10 20239
11 20239
12 20187
13 20236
14 20236
15
Estimation of Baseflow based on Master Recession Curves (MRCs) Considering Seasonality and Flow Condition
20193
16 20192
17 20242
18 20242
19 20232
20 20202

About Seoro Lee

Seoro Lee is a scholar working on Water Science and Technology, Environmental Engineering, Soil Science, Ecology and Environmental Chemistry, having authored 28 papers that have together received 257 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (24 papers), Soil erosion and sediment transport (10 papers), Hydrological Forecasting Using AI (9 papers), Hydrology and Sediment Transport Processes (6 papers), Soil and Water Nutrient Dynamics (6 papers), Flood Risk Assessment and Management (6 papers), Groundwater flow and contamination studies (2 papers) and Water resources management and optimization (1 paper). The work is most often cited by research in Water Science and Technology (156 citations), Environmental Engineering (132 citations), Soil Science (50 citations), Global and Planetary Change (88 citations) and Ecology (49 citations). Seoro Lee has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Kyoung Jae Lim, Jonggun Kim, Bisrat Ayalew Yifru, Jae E. Yang, Jimin Lee, Dongjun Lee, D.Y. Yang, Panos Panagos, Pasquale Borrelli and Ki-Sung Kim. Their work appears in journals such as Sustainability, Water, CATENA, JAWRA Journal of the American Water Resources Association and Agronomy.

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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