Daeha Kim

893 citations
37 papers · 649 · h-index 15

Impact in

Papers in

Daeha Kim

36 papers receiving 638 citations

Peers

Daeha Kim
Comparison fields: 5 of 70
  • Global and Planetary Change 448
  • Water Science and Technology 226
  • Atmospheric Science 150
  • Environmental Engineering 84
  • Soil Science 53
Replace Berhanu F. Alemaw with:
Berhanu F. Alemaw Botswana
Javad Bazrafshan Iran
Gengxi Zhang China
Caroline Mourão Brazil
Arpita Mondal India
Amar Deep Tiwari India
Supiah Shamsudin Malaysia
Diego Campos Brazil
Ryan S. Padrón Switzerland
René R. Wijngaard Netherlands
Daeha Kim relative to Berhanu F. Alemaw Botswana Berhanu F. Alemaw's profile →
Citations per field
00.5×
Berhanu F. Alemaw · 1×
Citations per year

Countries citing papers authored by Daeha Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daeha Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020126
2 201690
3 201941
4 201434
5 201933
6 201830
7 202123
8 201921
9 201620
10 201820
11 201519
12 200819
13 201719
14 202116
15 201716
16 201914
17 201814
18 201812
19 200811
20 20238

About Daeha Kim

Daeha Kim is a scholar working on Global and Planetary Change, Water Science and Technology, Ecology, Evolution, Behavior and Systematics, Environmental Engineering and Plant Science, having authored 37 papers that have together received 649 indexed citations. Recurring topics across this work include Climate variability and models (14 papers), Hydrology and Watershed Management Studies (13 papers), Hydrology and Drought Analysis (12 papers), Plant Water Relations and Carbon Dynamics (11 papers), Climate change impacts on agriculture (8 papers), Water resources management and optimization (4 papers), Flood Risk Assessment and Management (4 papers) and Soil Moisture and Remote Sensing (4 papers). The work is most often cited by research in Global and Planetary Change (448 citations), Water Science and Technology (226 citations), Atmospheric Science (150 citations), Environmental Engineering (84 citations) and Soil Science (53 citations). Daeha Kim has collaborated with scholars based in South Korea, United States and Uzbekistan. Frequent co-authors include Jong Ahn Chun, Jinyoung Rhee, Kyung‐Ja Ha, Jagath J. Kaluarachchi, Axel Timmermann, Suyeon Moon, Minha Choi, Seon Tae Kim, Woo‐Seop Lee and Jin Kim. Their work appears in journals such as Agricultural Water Management, Journal of Hydrology, Hydrology and earth system sciences, IEICE Transactions on Electronics and Water Resources Research.

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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