Minseok Kim

1.5k total citations
94 papers, 1.0k citations indexed

About

Minseok Kim is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Water Science and Technology. According to data from OpenAlex, Minseok Kim has authored 94 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Civil and Structural Engineering, 32 papers in Management, Monitoring, Policy and Law and 21 papers in Water Science and Technology. Recurrent topics in Minseok Kim's work include Landslides and related hazards (25 papers), Hydrology and Watershed Management Studies (18 papers) and Soil and Unsaturated Flow (14 papers). Minseok Kim is often cited by papers focused on Landslides and related hazards (25 papers), Hydrology and Watershed Management Studies (18 papers) and Soil and Unsaturated Flow (14 papers). Minseok Kim collaborates with scholars based in South Korea, United States and France. Minseok Kim's co-authors include C. J. Harman, P. A. Troch, Hyunuk An, Luke Pangle, Giha Lee, Till H. M. Volkmann, Jeffrey J. McDonnell, Kun Woo Chun, Filippo Catani and Jung Il Seo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Scientific Reports.

In The Last Decade

Minseok Kim

71 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minseok Kim South Korea 15 383 328 324 303 219 94 1.0k
Maosheng Zhang China 19 592 1.5× 143 0.4× 141 0.4× 458 1.5× 218 1.0× 55 1.1k
Xia Zhao China 14 377 1.0× 186 0.6× 447 1.4× 56 0.2× 222 1.0× 28 963
Harald Klempe Norway 9 825 2.2× 141 0.4× 639 2.0× 184 0.6× 256 1.2× 13 1.4k
Alireza Motevalli Iran 8 329 0.9× 167 0.5× 367 1.1× 75 0.2× 84 0.4× 13 854
D.P. Shrestha Netherlands 15 434 1.1× 159 0.5× 333 1.0× 108 0.4× 149 0.7× 49 1.0k
Somayeh Panahi Iran 11 378 1.0× 405 1.2× 816 2.5× 95 0.3× 165 0.8× 16 1.2k
Enke Hou China 13 320 0.8× 247 0.8× 485 1.5× 59 0.2× 98 0.4× 54 957
Renwei Li China 12 561 1.5× 97 0.3× 520 1.6× 81 0.3× 364 1.7× 27 1.2k
Ebrahim Omidvar Iran 16 480 1.3× 387 1.2× 844 2.6× 102 0.3× 234 1.1× 31 1.3k
D. Ramakrishnan India 13 141 0.4× 245 0.7× 355 1.1× 132 0.4× 62 0.3× 41 880

Countries citing papers authored by Minseok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minseok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minseok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Minseok Kim. A scholar is included among the top collaborators of Minseok 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 Minseok Kim. Minseok 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.
2.
Kim, Minseok, et al.. (2023). Time‐Variability of Flow Recession Dynamics: Application of Machine Learning and Learning From the Machine. Water Resources Research. 59(5). 4 indexed citations
3.
Kim, Minseok & C. J. Harman. (2022). Transit Times and StorAge Selection Functions in Idealized Hillslopes With Steady Infiltration. Water Resources Research. 58(5). 12 indexed citations
4.
Wang, Chaozi, Till H. M. Volkmann, Luke Pangle, et al.. (2022). Simulation of experimental synthetic DNA tracer transport through the vadose zone. Water Research. 223. 119009–119009. 9 indexed citations
5.
Kim, Minseok, et al.. (2021). Uncovering the hillslope scale flow and transport dynamics in an experimental hydrologic system. Hydrological Processes. 35(8). 4 indexed citations
6.
7.
Kim, Youngwoo, et al.. (2020). A Study on the Change of Urban Spatial Networks in Gwangju and Naju due to Gwangju-Jeonnam Innovation City. Journal of the Architectural Institute of Korea. 36(9). 99–108. 1 indexed citations
8.
Zeng, Xubin, M. Ďurčík, Luke Pangle, et al.. (2020). Highly sampled measurements in a controlled atmosphere at the Biosphere 2 Landscape Evolution Observatory. Scientific Data. 7(1). 306–306. 2 indexed citations
9.
Sthapit, Pranesh, Yuvaraja Teekaraman, Minseok Kim, & Kiseon Kim. (2019). Algorithm to Estimation Fish Population using Echosounder in Fish Farming Net. 587–590. 6 indexed citations
10.
Evaristo, Jaivime, Minseok Kim, Joost van Haren, et al.. (2019). Characterizing the Fluxes and Age Distribution of Soil Water, Plant Water, and Deep Percolation in a Model Tropical Ecosystem. Water Resources Research. 55(4). 3307–3327. 83 indexed citations
11.
Wang, Chaozi, Steve W. Lyon, M. Todd Walter, et al.. (2018). Particle tracer transport in a sloping soil lysimeter under periodic, steady state conditions. Journal of Hydrology. 569. 61–76. 22 indexed citations
12.
Kim, Minseok, et al.. (2018). Rainfall analysis considering watershed characteristics and temporal-spatial characteristics of heavy rainfall. Journal of Korea Water Resources Association. 51(8). 739–745. 1 indexed citations
13.
Lee, Giha, et al.. (2017). Comparing the performance of TRIGRS and TiVaSS in spatial and temporal prediction of rainfall-induced shallow landslides. Environmental Earth Sciences. 76(8). 36 indexed citations
14.
Sasaki, Shigenobu, et al.. (2016). A study on low-level signal estimation in the spectrum sensing. IEICE Technical Report; IEICE Tech. Rep.. 115(473). 121–127.
15.
Kim, Min‐Sik, et al.. (2012). Characteristics of Heavy Rainfall for Landslide-triggering in 2011. Journal of Korean Society of Forest Science. 101(1). 28–35. 4 indexed citations
16.
Choi, Jaepil, et al.. (2011). Time Series Analysis of the Trend Regarding Block Arrangement According to Specified Unit Area Types in Apartment Complexes in Seoul. Journal of the Architectural Institute of Korea. 27(10). 13–20. 1 indexed citations
17.
Kim, Minseok, et al.. (2011). Distribution Characteristics Composition of Fishes by a Bottom Trawl in the Jointly Controlled Waters of the East China Sea. Journal of Fisheries and Marine Sciences Education. 23(2). 141–152. 2 indexed citations
18.
Kim, Minseok, et al.. (2011). Geomorphic-characteristics of debris flow induced by typhoon “RUSA” in 2002 using Shalstab Model and Remote Sensing: case study in Macheon region near Jiri-Mountain. JOURNAL OF THE KOREAN GEOMORPHOLOGICAL ASSOCIATION. 18(4). 193–202. 1 indexed citations
19.
Kim, Minseok, et al.. (2007). Application and Comparison of GeoWEPP model and USLE model to Natural Small Catchment - A Case Study in Danwol-dong, Icheon-si. Economic and Environmental Geology. 40(1). 103–113. 3 indexed citations
20.
Kim, Minseok, et al.. (2006). Analysis on the Rainfall Driven Slope Failure Adjacent to a Railway : Flume Tests. Journal of the Korean Geotechnical Society. 22(5). 83–91. 2 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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