Hyunglok Kim

1.6k total citations
48 papers, 1.1k citations indexed

About

Hyunglok Kim is a scholar working on Environmental Engineering, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Hyunglok Kim has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Environmental Engineering, 36 papers in Atmospheric Science and 12 papers in Water Science and Technology. Recurrent topics in Hyunglok Kim's work include Soil Moisture and Remote Sensing (38 papers), Precipitation Measurement and Analysis (25 papers) and Climate change and permafrost (11 papers). Hyunglok Kim is often cited by papers focused on Soil Moisture and Remote Sensing (38 papers), Precipitation Measurement and Analysis (25 papers) and Climate change and permafrost (11 papers). Hyunglok Kim collaborates with scholars based in United States, South Korea and France. Hyunglok Kim's co-authors include V. Lakshmi, Minha Choi, Muhammad Zohaib, Michael H. Cosh, Wolfgang Wagner, Alexandra G. Konings, Robert Parinussa, Sagar Parajuli, Alexander Ukhov and Georgiy Stenchikov and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Hyunglok Kim

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hyunglok Kim United States 17 766 728 354 204 173 48 1.1k
Ruzbeh Akbar United States 18 1.0k 1.3× 796 1.1× 468 1.3× 227 1.1× 240 1.4× 53 1.4k
Fan Chen United States 14 848 1.1× 769 1.1× 256 0.7× 343 1.7× 185 1.1× 24 1.1k
David C. Goodrich United States 8 495 0.6× 456 0.6× 167 0.5× 152 0.7× 130 0.8× 14 693
T. J. Schmugge United States 15 588 0.8× 474 0.7× 470 1.3× 127 0.6× 156 0.9× 30 976
Charles A. Laymon United States 13 604 0.8× 475 0.7× 170 0.5× 135 0.7× 191 1.1× 25 783
Qi Gao Spain 9 563 0.7× 406 0.6× 224 0.6× 89 0.4× 79 0.5× 31 893
Simon Zwieback United States 22 926 1.2× 1.3k 1.8× 232 0.7× 112 0.5× 164 0.9× 64 1.7k
Dominique Carrer France 23 593 0.8× 830 1.1× 1.1k 3.0× 159 0.8× 95 0.5× 52 1.5k
Angelika Xaver Austria 8 1.3k 1.7× 1.1k 1.6× 277 0.8× 217 1.1× 419 2.4× 13 1.5k
Federico Cervi Italy 17 321 0.4× 152 0.2× 262 0.7× 168 0.8× 139 0.8× 42 889

Countries citing papers authored by Hyunglok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyunglok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunglok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunglok Kim. A scholar is included among the top collaborators of Hyunglok Kim 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 Hyunglok Kim. Hyunglok Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhong, Yulong, Hyunglok Kim, Xing Yuan, et al.. (2025). Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021. Communications Earth & Environment. 6(1). 16 indexed citations
2.
Kim, Hyunglok, et al.. (2025). Observational analysis of long-term streamflow response to flash drought in the Mississippi River Basin. Weather and Climate Extremes. 48. 100762–100762. 3 indexed citations
3.
Lei, Fangni, Xinyi Shen, Qing Yang, et al.. (2025). Flood inundation mapping with CYGNSS over CONUS: a two-step machine-learning-based framework. Journal of Hydrology. 664. 134224–134224.
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Kim, Hyunglok, et al.. (2025). Investigating the vulnerability and resilience capacity of different land cover types to flash drought: A case study in the Mississippi River Basin. Journal of Environmental Management. 380. 125079–125079. 2 indexed citations
7.
Kim, Hyunglok, Wade T. Crow, Simon Yueh, et al.. (2024). From theory to hydrological practice: Leveraging CYGNSS data over seven years for advanced soil moisture monitoring. Remote Sensing of Environment. 316. 114509–114509. 5 indexed citations
8.
Kwon, Yonghwan, et al.. (2024). Improving weather forecast skill of the Korean Integrated Model by assimilating Soil Moisture Active Passive soil moisture anomalies. Quarterly Journal of the Royal Meteorological Society. 150(765). 5305–5336. 3 indexed citations
9.
Xing, Zanpin, Xiaojun Li, Lei Fan, et al.. (2024). Seasonal-scale intercomparison of SMAP and fused SMOS-SMAP soil moisture products. SHILAP Revista de lepidopterología. 5. 3 indexed citations
10.
Cammalleri, Carmelo, Hyunglok Kim, Manh‐Hung Le, et al.. (2024). Evaluation of a combined drought indicator against crop yield estimations and simulations over the Argentine Humid Pampas. Theoretical and Applied Climatology. 155(8). 7463–7478. 1 indexed citations
11.
Zhang, Runze, Seokhyeon Kim, Hyunglok Kim, et al.. (2023). Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting. Water Resources Research. 59(12). 4 indexed citations
12.
Kim, Hyunglok, Wade T. Crow, Wolfgang Wagner, Xiaojun Li, & V. Lakshmi. (2023). A Bayesian machine learning method to explain the error characteristics of global-scale soil moisture products. Remote Sensing of Environment. 296. 113718–113718. 13 indexed citations
13.
Zohaib, Muhammad, Hyunglok Kim, & V. Lakshmi. (2023). Impact of Vegetation Gradient and Land Cover Conditions on Soil Moisture Retrievals From Different Frequencies and Acquisition Times of AMSR2. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 3 indexed citations
14.
Kim, Hyunglok, Wade T. Crow, Xiaojun Li, et al.. (2023). True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis. Remote Sensing of Environment. 298. 113776–113776. 19 indexed citations
15.
Crow, Wade T., Hyunglok Kim, & Sujay V. Kumar. (2023). Systematic Modeling Errors Undermine the Application of Land Data Assimilation Systems for Hydrological and Weather Forecasting. Journal of Hydrometeorology. 25(1). 3–26. 9 indexed citations
16.
Kim, Hyunglok, et al.. (2022). A comprehensive assessment of SM2RAIN-NWF using ASCAT and a combination of ASCAT and SMAP soil moisture products for rainfall estimation. The Science of The Total Environment. 838(Pt 3). 156416–156416. 11 indexed citations
17.
Kim, Hyunglok, et al.. (2020). Assessment and Combination of SMAP and Sentinel-1A/B-Derived Soil Moisture Estimates With Land Surface Model Outputs in the Mid-Atlantic Coastal Plain, USA. IEEE Transactions on Geoscience and Remote Sensing. 59(2). 991–1011. 14 indexed citations
18.
Zohaib, Muhammad, Hyunglok Kim, & Minha Choi. (2019). Detecting global irrigated areas by using satellite and reanalysis products. The Science of The Total Environment. 677. 679–691. 37 indexed citations
19.
Kim, Hyunglok & V. Lakshmi. (2018). Use of Cyclone Global Navigation Satellite System (CyGNSS) Observations for Estimation of Soil Moisture. Geophysical Research Letters. 45(16). 8272–8282. 170 indexed citations
20.
Baik, Jongjin, et al.. (2015). Estimation of Water Quality using Landsat 8 Images for Geum-river, Korea. Journal of Korea Water Resources Association. 48(2). 79–90. 4 indexed citations

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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