Jae-Hyun Ahn

572 total citations
57 papers, 444 citations indexed

About

Jae-Hyun Ahn is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jae-Hyun Ahn has authored 57 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 17 papers in Water Science and Technology and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jae-Hyun Ahn's work include Hydrology and Watershed Management Studies (14 papers), Hydrology and Drought Analysis (11 papers) and Climate variability and models (8 papers). Jae-Hyun Ahn is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Hydrology and Drought Analysis (11 papers) and Climate variability and models (8 papers). Jae-Hyun Ahn collaborates with scholars based in South Korea, United States and Pakistan. Jae-Hyun Ahn's co-authors include Tae‐Woong Kim, Muhammad Ajmal, Jiyoung Yoo, Muhammad Waseem, Hyun‐Han Kwon, Donghwi Jung, Sangdan Kim, Doosun Kang, Young‐Il Moon and Dong-Ryul Lee and has published in prestigious journals such as Small, Journal of Hydrology and International Journal of Environmental Research and Public Health.

In The Last Decade

Jae-Hyun Ahn

49 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae-Hyun Ahn South Korea 10 277 249 84 72 51 57 444
H. L. Tiwari India 10 277 1.0× 173 0.7× 113 1.3× 47 0.7× 78 1.5× 45 451
Vanita Pandey India 10 245 0.9× 129 0.5× 92 1.1× 92 1.3× 58 1.1× 24 357
Pushpendra Kumar Singh India 14 306 1.1× 292 1.2× 132 1.6× 101 1.4× 117 2.3× 34 522
Kul Khand United States 11 272 1.0× 142 0.6× 58 0.7× 51 0.7× 33 0.6× 19 321
Christos Babajimopoulos Greece 9 187 0.7× 94 0.4× 104 1.2× 66 0.9× 58 1.1× 20 333
Julien Malard Canada 10 182 0.7× 109 0.4× 70 0.8× 54 0.8× 38 0.7× 27 411
Morteza Lotfirad Iran 14 343 1.2× 237 1.0× 150 1.8× 25 0.3× 51 1.0× 27 484
Vamsi Krishna Vema India 9 198 0.7× 174 0.7× 103 1.2× 51 0.7× 35 0.7× 19 306
Khada Nanda Dulal Japan 5 209 0.8× 260 1.0× 248 3.0× 33 0.5× 44 0.9× 7 425
P. V. Timbadiya India 11 304 1.1× 173 0.7× 74 0.9× 40 0.6× 76 1.5× 43 405

Countries citing papers authored by Jae-Hyun Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Hyun Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Hyun Ahn. 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 Jae-Hyun Ahn. The network helps show where Jae-Hyun Ahn may publish in the future.

Co-authorship network of co-authors of Jae-Hyun Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Hyun Ahn. A scholar is included among the top collaborators of Jae-Hyun Ahn 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 Jae-Hyun Ahn. Jae-Hyun Ahn 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.
Kwak, In Hye, Jae-Hyun Ahn, Sang‐Gil Lee, et al.. (2025). (ReMoV)X 2 (X = S, Se) Ternary Alloy Nanosheets for Enhanced Electrocatalytic Hydrogen Evolution Reaction. Small. 21(24). e2503399–e2503399.
3.
Strong, Robert, Kim E. Dooley, Jae-Hyun Ahn, et al.. (2023). Sustaining Global Food Systems with Youth Digital Livestock Production Curricula Interventions and Adoption to Professionally Develop Agents of Change. Sustainability. 15(18). 13896–13896. 1 indexed citations
5.
Ahn, Jae-Hyun, et al.. (2022). Food security and agricultural challenges in West-African rural communities: a machine learning analysis. International Journal of Food Properties. 25(1). 827–844. 14 indexed citations
6.
Ahn, Jae-Hyun, et al.. (2019). Case studies of female-headed farms and households in Liberia: a comparative analysis of Grand Bassa, Lofa, and Nimba counties. The Journal of Agricultural Education and Extension. 26(1). 19–35. 6 indexed citations
8.
Ahn, Jae-Hyun, et al.. (2017). Improvement of Damage Range Calculation for First Response to Chemical Accidents. Journal of the Korean Society of Safety. 32(2). 59–65. 3 indexed citations
9.
Ahn, Jae-Hyun, et al.. (2012). An Analysis of Flood Discharge and Stage according to the Change of Design Rainfall for Musim Stream Basin. 941–941. 1 indexed citations
10.
Ahn, Jae-Hyun, et al.. (2012). An Application of Drought Severity-Area-Duration Curves Using Copulas-Based Joint Drought Index. Journal of Korea Water Resources Association. 45(10). 1043–1050. 13 indexed citations
11.
Ahn, Jae-Hyun, et al.. (2011). Correlation between Storm Characteristics and Flood Damage. Journal of Wetlands Research. 13(2). 219–229. 2 indexed citations
12.
Ahn, Jae-Hyun, et al.. (2009). Musical Instrument Interface Using the Real-time arrangement of notes. International Conference on Human-Computer Interaction. 373–377.
13.
Lee, Jae Geun, et al.. (2009). A Study on the Change of Runoff due to Dividing Watershed.. 976–980.
14.
Lee, Chang‐Hwan, et al.. (2009). Prediction of Scour Depth Using Incorporation of Cluster Analysis into Artificial Neural Networks. 29(2). 111–120. 1 indexed citations
15.
Kim, Min‐Seok, et al.. (2009). An Analysis of the Characteristics in Design Rainfall According to the Data Periods. 9(4). 115–127. 8 indexed citations
16.
Lee, Jeongho, et al.. (2009). A Method for Selecting a Structural Optimal Flood Mitigation Plan Using Analytic Hierarchy Process. 9(3). 117–126. 3 indexed citations
17.
Ahn, Jae-Hyun, et al.. (2008). An Analysis of Long-Term River Bed Changes using Surface-water Modeling System (SMS) Model: A case study of the Pochon stream basin. 8(2). 139–147. 1 indexed citations
18.
Moon, Young‐Il, Sun‐Kwon Yoon, Jong‐Suk Kim, & Jae-Hyun Ahn. (2006). A Study on the Change of Runoff Characteristics due to the Urbanization. 730–734. 1 indexed citations
19.
Hong, Chang-Sun, et al.. (2001). Reliability Analysis for the Estimation of Frequency-Based Rainfall. 1(3). 111–122. 1 indexed citations
20.
Yoo, Chulsang, et al.. (1998). An Analysis on the Variation of Long-term Runoff Characteristics of Basin before and after Dam Construction - I. Estimation of NWS-PC Model Parameters using GIS. Journal of the Korean Society of Civil Engineers. 18. 449–449. 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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