Bong‐Chul Seo

1.4k total citations
41 papers, 1.0k citations indexed

About

Bong‐Chul Seo is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Bong‐Chul Seo has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Bong‐Chul Seo's work include Precipitation Measurement and Analysis (32 papers), Meteorological Phenomena and Simulations (24 papers) and Hydrology and Watershed Management Studies (18 papers). Bong‐Chul Seo is often cited by papers focused on Precipitation Measurement and Analysis (32 papers), Meteorological Phenomena and Simulations (24 papers) and Hydrology and Watershed Management Studies (18 papers). Bong‐Chul Seo collaborates with scholars based in United States, Canada and China. Bong‐Chul Seo's co-authors include Witold F. Krajewski, Felipe Quintero, Ricardo Mantilla, Anton Kruger, Gabriele Villarini, Radosław Goska, James A. Smith, İbrahim Demir, Scott J. Small and L. Cunha and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and Journal of Hydrology.

In The Last Decade

Bong‐Chul Seo

40 papers receiving 1.0k citations

Peers

Bong‐Chul Seo

GPC

WST

ECOLO

Radosław Goska United States

Felipe Quintero United States

Jianbin Su China

J. Bartholmes Italy

Elisabetta Fiori Italy

D. L. Blodgett United States

Schalk Jan van Andel Netherlands

Julien Lhomme United Kingdom

Kel Markert United States

Daniele Norbiato Italy

Radosław Goska United States

Bong‐Chul Seo

474 ×0.7

605 ×0.9

GPC

336 ×0.7

WST

210 ×0.6

56 ×1.6

ECOLO

Citations per year, relative to Bong‐Chul Seo Bong‐Chul Seo (= 1×) peers Radosław Goska

Countries citing papers authored by Bong‐Chul Seo

Since Specialization

Citations

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

Fields of papers citing papers by Bong‐Chul Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bong‐Chul Seo. 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 Bong‐Chul Seo. The network helps show where Bong‐Chul Seo may publish in the future.

Co-authorship network of co-authors of Bong‐Chul Seo

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

All Works

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20 of 20 papers shown

Corns, Steven, et al.. (2025). Graph-based preprocessing and hierarchical clustering for optimal state-wide stream sensor placement in Missouri. Journal of Environmental Management. 388. 125963–125963. 1 indexed citations

Sit, Muhammed, Bong‐Chul Seo, Bekir Zahit Demiray, & İbrahim Demir. (2024). EfficientRainNet: Leveraging EfficientNetV2 for memory-efficient rainfall nowcasting. Environmental Modelling & Software. 176. 106001–106001. 4 indexed citations

Zhang, Zhe, et al.. (2024). An Editorial for the Special Issue “Processing and Application of Weather Radar Data”. Remote Sensing. 16(11). 1967–1967.

Seo, Bong‐Chul, Felipe Quintero, & Witold F. Krajewski. (2023). Hydrologic Assessment of IMERG Products Across Spatial Scales Over Iowa. Journal of Hydrometeorology. 24(6). 997–1015. 4 indexed citations

Sit, Muhammed, Bong‐Chul Seo, & İbrahim Demir. (2023). TempNet – temporal super-resolution of radar rainfall products with residual CNNs. Journal of Hydroinformatics. 25(2). 552–566. 9 indexed citations

Seo, Bong‐Chul, Witold F. Krajewski, & Felipe Quintero. (2021). Multi‐Scale Hydrologic Evaluation of the National Water Model Streamflow Data Assimilation. JAWRA Journal of the American Water Resources Association. 57(6). 875–884. 8 indexed citations

Seo, Bong‐Chul. (2020). A Data-Driven Approach for Winter Precipitation Classification Using Weather Radar and NWP Data. Atmosphere. 11(7). 701–701. 8 indexed citations

Seo, Bong‐Chul, Felipe Quintero, & Witold F. Krajewski. (2018). High-Resolution QPF Uncertainty and Its Implications for Flood Prediction: A Case Study for the Eastern Iowa Flood of 2016. Journal of Hydrometeorology. 19(8). 1289–1304. 23 indexed citations

Quintero, Felipe, Witold F. Krajewski, Ricardo Mantilla, Scott J. Small, & Bong‐Chul Seo. (2016). A Spatial–Dynamical Framework for Evaluation of Satellite Rainfall Products for Flood Prediction. Journal of Hydrometeorology. 17(8). 2137–2154. 55 indexed citations

10.

Krajewski, Witold F., D. Ceynar, İbrahim Demir, et al.. (2016). Real-Time Flood Forecasting and Information System for the State of Iowa. Bulletin of the American Meteorological Society. 98(3). 539–554. 159 indexed citations

11.

Seo, Bong‐Chul & Witold F. Krajewski. (2015). Correcting temporal sampling error in radar-rainfall: Effect of advection parameters and rain storm characteristics on the correction accuracy. Journal of Hydrology. 531. 272–283. 27 indexed citations

12.

Demir, İbrahim, Scott J. Small, Radosław Goska, et al.. (2014). Hydroinformatics On The Cloud: Data Integration, Modeling And Information Communication For Flood Risk Management. CUNY Academic Works (City University of New York). 2 indexed citations

13.

Seo, Bong‐Chul, L. Cunha, & Witold F. Krajewski. (2013). Uncertainty in radar‐rainfall composite and its impact on hydrologic prediction for the eastern Iowa flood of 2008. Water Resources Research. 49(5). 2747–2764. 31 indexed citations

14.

Villarini, Gabriele, Bong‐Chul Seo, Francesco Serinaldi, & Witold F. Krajewski. (2013). Spatial and temporal modeling of radar rainfall uncertainties. Atmospheric Research. 135-136. 91–101. 47 indexed citations

15.

Krajewski, Witold F., Anton Kruger, James A. Smith, et al.. (2010). Towards better utilization of NEXRAD data in hydrology: an overview of Hydro-NEXRAD. Journal of Hydroinformatics. 13(2). 255–266. 71 indexed citations

16.

Seo, Bong‐Chul, et al.. (2010). Radar-rainfall estimation algorithms of Hydro-NEXRAD. Journal of Hydroinformatics. 13(2). 277–291. 51 indexed citations

17.

Seo, Bong‐Chul & Witold F. Krajewski. (2010). Investigation of the scale-dependent variability of radar-rainfall and rain gauge error covariance. Advances in Water Resources. 34(1). 152–163. 34 indexed citations

18.

Krajewski, Witold F., et al.. (2008). Multiple Radar Data Merging in Hydro-NEXRAD. World Environmental and Water Resources Congress 2008. 21. 1–10. 2 indexed citations

19.

Krajewski, Witold F., Anton Kruger, M. L. Baeck, et al.. (2007). Hydro-NEXRAD: A Community Resource for Future Research on Improving Rainfall-Rainfall Estimation and Hydrologic Applications. AGUFM. 2007. 2 indexed citations

20.

Krajewski, Witold F., Anton Kruger, Ramon Lawrence, et al.. (2007). Towards Better Utilization of NEXRAD Data in Hydrology: An Overview of Hydro-NEXRAD. World Environmental and Water Resources Congress 2007. 1–8. 17 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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