Haksu Lee

1.1k citations
29 papers · 645 · h-index 13

Impact in

Papers in

Haksu Lee

25 papers receiving 621 citations

Peers

Haksu Lee
Comparison fields: 5 of 52
  • Water Science and Technology 400
  • Global and Planetary Change 471
  • Atmospheric Science 365
  • Environmental Engineering 188
  • Computer Science Applications 12
Replace Simon Etter with:
Simon Etter Switzerland
Lu Su United States
Linda Speight United Kingdom
Priyank J. Sharma India
Julie Demargne United States
Davide Muraro Italy
Barbara Strobl Switzerland
Louise Arnal United Kingdom
Ridwan Siddique United States
Yingchun Huang China
Haksu Lee relative to Simon Etter Switzerland Simon Etter's profile →
Citations per field
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Citations per year

Countries citing papers authored by Haksu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Haksu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haksu 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 Haksu Lee Line = papers co-authored together Haksu Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013226
2 201568
3 201442
4 201437
5 201431
6 201230
7 201825
8 200423
9 201721
10 201919
11 201918
12 201716
13 201213
14 201411
15 201511
16 201410
17
Representative Elementary Watershed (REW) approach: A new blueprint for distributed hydrological modelling at the catchment scale
20058
18 20218
19 20187
20 20166

About Haksu Lee

Haksu Lee is a scholar working on Water Science and Technology, Atmospheric Science, Global and Planetary Change, Environmental Engineering and Civil and Structural Engineering, having authored 29 papers that have together received 645 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (20 papers), Meteorological Phenomena and Simulations (16 papers), Flood Risk Assessment and Management (8 papers), Hydrological Forecasting Using AI (7 papers), Precipitation Measurement and Analysis (6 papers), Climate variability and models (4 papers), Hydrology and Drought Analysis (2 papers) and Educational Games and Gamification (2 papers). The work is most often cited by research in Water Science and Technology (400 citations), Global and Planetary Change (471 citations), Atmospheric Science (365 citations), Environmental Engineering (188 citations) and Computer Science Applications (12 citations). Haksu Lee has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Dong-Jun Seo, Limin Wu, James Dean Brown, Minxue He, Satish Kumar Regonda, Dong‐Jun Seo, John C. Schaake, H. Herr, Robert Hartman and Yuejian Zhu. Their work appears in journals such as Journal of Hydrology, Journal of Hydrometeorology, Stochastic Environmental Research and Risk Assessment, Hydrological Sciences Journal and Advances in Water Resources.

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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