Dae Il Jeong
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Water Science and Technology top 2%
- Environmental Engineering top 5%
- Nature and Landscape Conservation top 10%
- Co-authors
- Laxmi SushamaAndré St‐HilaireM. N. KhaliqYoung-Oh KimPhilippe GachonAlex J. CannonTaha B. M. J. OuardaG. T. Diro
- Topics
- Climate variability and models (33 papers)Meteorological Phenomena and Simulations (21 papers)Hydrology and Watershed Management Studies (12 papers)
- Partner nations
- CanadaSouth KoreaUnited States
In The Last Decade
Dae Il Jeong
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Global and Planetary Change 710
- Atmospheric Science 506
- Water Science and Technology 399
- Environmental Engineering 351
- Nature and Landscape Conservation 84
Countries citing papers authored by Dae Il Jeong
This map shows the geographic impact of Dae Il Jeong'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 Dae Il Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae Il Jeong more than expected).
Fields of papers citing papers by Dae Il Jeong
This network shows the impact of papers produced by Dae Il Jeong. 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 Dae Il Jeong. The network helps show where Dae Il Jeong may publish in the future.
Co-authorship network of co-authors of Dae Il Jeong
This figure shows the co-authorship network connecting the top 25 collaborators of Dae Il Jeong. A scholar is included among the top collaborators of Dae Il Jeong 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 Dae Il Jeong. Dae Il Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 39 | |
| 6 | 23 | |
| 7 | 23 | |
| 8 | Projected changes to surface wind characteristics and extremes over North America in CRCM5 | 0 |
| 9 | 25 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 40 | |
| 15 | 37 | |
| 16 | Development of a Stochastic Precipitation Generation Model for Generating Multi-site Daily Precipitation | 1 |
| 17 | 55 | |
| 18 | Reflecting a Climate Change Factor in Flood Frequency Analysis for Korean River Basins | 1 |
| 19 | Flood Risk Assessment with Climate Change | 2 |
| 20 | 1 |
About Dae Il Jeong
Dae Il Jeong is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Climate variability and models (33 papers), Meteorological Phenomena and Simulations (21 papers) and Hydrology and Watershed Management Studies (12 papers). The work is most often cited by research in Global and Planetary Change (710 citations), Water Science and Technology (399 citations) and Atmospheric Science (506 citations). Dae Il Jeong has collaborated with scholars based in Canada, South Korea and United States. Frequent co-authors include Laxmi Sushama, André St‐Hilaire, M. N. Khaliq, Young-Oh Kim, Philippe Gachon, Alex J. Cannon, Taha B. M. J. Ouarda, G. T. Diro, Bin Yu and Xuebin Zhang. Their work appears in journals such as Journal of Climate, Geophysical Research Letters and Journal of Hydrology.
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.