Kwonil Kim

668 citations
49 papers · 404 · h-index 12

Impact in

Papers in

    • Meteorological Phenomena and Simulations 26
    • Precipitation Measurement and Analysis 19
    • Cryospheric studies and observations 10
    • Climate variability and models 11
    • Atmospheric aerosols and clouds 6

Kwonil Kim

41 papers receiving 383 citations

Peers

Kwonil Kim
Comparison fields: 5 of 57
  • Atmospheric Science 142
  • Water Science and Technology 105
  • Global and Planetary Change 93
  • Aerospace Engineering 63
  • Biomedical Engineering 105
Replace Tianhang Yang with:
Tianhang Yang China
Chan Soo Kim Japan
Hui Hu China
Chunhua Deng United States
Krishnaveni Venugopal India
Lingfang Chen China
J. Cui Switzerland
Chanjuan Liu China
Dandan He China
Kgakgamatso Mphale Botswana
Kwonil Kim relative to Tianhang Yang China Tianhang Yang's profile →
Citations per field
00.5×10×15×20×24×
Tianhang Yang · 1×
Citations per year

Countries citing papers authored by Kwonil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kwonil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200252
2 201548
3 201433
4 201831
5 202022
6 200721
7 202118
8 202016
9 201016
10 200613
11 201313
12 200911
13 201611
14 201511
15 202210
16 20009
17 20218
18 20218
19 20237
20 20226

About Kwonil Kim

Kwonil Kim is a scholar working on Atmospheric Science, Global and Planetary Change, Electrical and Electronic Engineering, Environmental Engineering and Biomedical Engineering, having authored 49 papers that have together received 404 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (26 papers), Precipitation Measurement and Analysis (19 papers), Climate variability and models (11 papers), Cryospheric studies and observations (10 papers), Atmospheric aerosols and clouds (6 papers), Electronic Packaging and Soldering Technologies (5 papers), Wind and Air Flow Studies (4 papers) and Membrane Separation Technologies (4 papers). The work is most often cited by research in Atmospheric Science (142 citations), Water Science and Technology (105 citations), Global and Planetary Change (93 citations), Aerospace Engineering (63 citations) and Biomedical Engineering (105 citations). Kwonil Kim has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include GyuWon Lee, Sherub Phuntsho, Tahir Majeed, Ho Kyong Shon, Nobuo Kimizuka, Myung Ki Kim, Ikmo Park, Kazunori Matsuura, Yu‐Chieng Liou and Fezeh Lotfi. Their work appears in journals such as Remote Sensing, Atmospheric chemistry and physics, Monthly Weather Review, Geoscientific model development and Weather and Forecasting.

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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