Jongho Kim

2.9k total citations · 1 hit paper
91 papers, 2.1k citations indexed

About

Jongho Kim is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Jongho Kim has authored 91 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 34 papers in Water Science and Technology and 23 papers in Atmospheric Science. Recurrent topics in Jongho Kim's work include Hydrology and Watershed Management Studies (31 papers), Flood Risk Assessment and Management (19 papers) and Climate variability and models (12 papers). Jongho Kim is often cited by papers focused on Hydrology and Watershed Management Studies (31 papers), Flood Risk Assessment and Management (19 papers) and Climate variability and models (12 papers). Jongho Kim collaborates with scholars based in South Korea, United States and Switzerland. Jongho Kim's co-authors include V. Y. Ivanov, Simone Fatichi, Nikolaos D. Katopodes, Vinh Ngoc Tran, April Warnock, Chaopeng Shen, Mauro Sulis, Matteo Camporese, Jason Davison and Giuseppe Mascaro and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Water Resources Research.

In The Last Decade

Jongho Kim

81 papers receiving 2.0k citations

Hit Papers

An overview of current applications, challenges, and futu... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
    2016 456 citations Simone Fatichi, V. Y. Ivanov et al. profile →

Peers

Jongho Kim
Linshan Yang China
Chesheng Zhan China
Caterina Valeo Canada
G. S. Dwarakish India
Teemu Kokkonen Finland
Milan Gocić Serbia
Francisco Olivera United States
Gang Zhao China
Weihong Liao China
Zhonggen Wang China
Linshan Yang China
Jongho Kim
Citations per year, relative to Jongho Kim Jongho Kim (= 1×) peers Linshan Yang

Countries citing papers authored by Jongho Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jongho Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongho Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jongho Kim. A scholar is included among the top collaborators of Jongho 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 Jongho Kim. Jongho 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.
Kang, Minseok, et al.. (2024). Estimation of cucumber net primary production using environmental and control information in a smart multi-span plastic greenhouse. Computers and Electronics in Agriculture. 219. 108819–108819. 1 indexed citations
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Tran, Vinh Ngoc, V. Y. Ivanov, & Jongho Kim. (2023). Data reformation – A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes. Advances in Water Resources. 182. 104569–104569. 14 indexed citations
4.
Wang, Hui, Minwoo Park, Jinsoo Park, et al.. (2023). Optimizing an airborne mass-balance methodology for accurate emission rate quantification of industrial facilities: A case study of industrial facilities in South Korea. The Science of The Total Environment. 912. 169204–169204. 3 indexed citations
5.
Ahn, Seongho, et al.. (2022). Systematization of short-term forecasts of regional wave heights using a machine learning technique and long-term wave hindcast. Ocean Engineering. 264. 112593–112593. 22 indexed citations
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Hossain, Sayed Mukit, et al.. (2019). Preparation and characterization of TiO2 generated from synthetic wastewater using TiCl4 based coagulation/flocculation aided with Ca(OH)2. Journal of Environmental Management. 250. 109521–109521. 13 indexed citations
9.
Kim, Jongho, et al.. (2019). Streamflow, stomata, and soil pits: Sources of inference for complex models with fast, robust uncertainty quantification. Advances in Water Resources. 125. 13–31. 22 indexed citations
10.
Fatichi, Simone, Gabriel G. Katul, V. Y. Ivanov, et al.. (2015). Abiotic and biotic controls of soil moisture spatiotemporal variability and the occurrence of hysteresis. Water Resources Research. 51(5). 3505–3524. 64 indexed citations
11.
Choi, Seungbum, et al.. (2014). Effects of Inula helenium on Inflammation and Insulin Resistance in Obesity-inducedInsulin Resistance Mouse by High Fat Diet. The Journal of Internal Korean Medicine. 35(4). 428–438. 2 indexed citations
12.
Kim, Jongho, et al.. (2012). The Effects of Environmental Regulations on the Industrial Productivity: An Empirical Analysis of the Korean Case. Journal of Industrial Economics and Business. 25(2). 1711–1727. 1 indexed citations
13.
Kim, Jongho. (2011). Development of Fostering Strategies for MICE Industry through the Value Chain Analysis. 7(4). 131–150. 1 indexed citations
14.
Kim, Jongho, et al.. (2008). Application of a Two-dimensional Flood Inundation Model based on Quadtree Grid. 8(3). 129–136. 1 indexed citations
15.
Kim, Jongho, et al.. (2008). Participation Intention of Activity-oriented Program of Local Residents of Rural and Mountain Villages - Policy Implication for the Eco-Mountain Village Project -. Journal of the Korean Institute of Landscape Architecture. 36(1). 1–11. 3 indexed citations
16.
Kim, Jongho. (2008). Information Strategy Planning based on Six-Sigma DMADOV Methodology. Korean Management Science Review. 25(1). 75–91. 1 indexed citations
17.
Kim, Jongho, et al.. (2007). Numerical Simulation of Flood Inundation with Quadtree Grid. 7(2). 45–52. 2 indexed citations
18.
Kim, Jongho, et al.. (2007). Awareness of local residents on the village development project according to the types of rural and mountain village development. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 6(96). 1 indexed citations
19.
Kim, Jongho, et al.. (2006). Basic survey analysis and promotion plan direction of mountain villages in Korea.. Journal of Forest Science. 175–195. 1 indexed citations
20.
Kim, Jongho, et al.. (1997). A study on the establishment of classification index for choosing the objective areas of mountain village region development project.. Journal of Forest Science. 105–124. 1 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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