Daegi Hahm

632 total citations
51 papers, 472 citations indexed

About

Daegi Hahm is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Daegi Hahm has authored 51 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Civil and Structural Engineering, 17 papers in Statistics, Probability and Uncertainty and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Daegi Hahm's work include Seismic Performance and Analysis (15 papers), Probabilistic and Robust Engineering Design (12 papers) and Structural Response to Dynamic Loads (11 papers). Daegi Hahm is often cited by papers focused on Seismic Performance and Analysis (15 papers), Probabilistic and Robust Engineering Design (12 papers) and Structural Response to Dynamic Loads (11 papers). Daegi Hahm collaborates with scholars based in South Korea, United States and Greece. Daegi Hahm's co-authors include Bub-Gyu Jeon, Sung‐Wan Kim, Shinyoung Kwag, Seunghyun Eem, Min‐Kyu Kim, Hyun‐Moo Koh, Jeong‐Gon Ha, In-Kil Choi, Junhee Park and Min‐Kyu Kim and has published in prestigious journals such as Journal of Hydrology, Expert Systems with Applications and Sustainability.

In The Last Decade

Daegi Hahm

47 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daegi Hahm South Korea 13 354 103 82 58 41 51 472
In-Kil Choi South Korea 15 518 1.5× 125 1.2× 67 0.8× 24 0.4× 22 0.5× 78 665
F. Michael Bartlett Canada 17 727 2.1× 131 1.3× 86 1.0× 103 1.8× 34 0.8× 61 890
Yuliang Zhao China 12 332 0.9× 64 0.6× 105 1.3× 37 0.6× 174 4.2× 25 513
Fengyuan Jiang China 12 129 0.4× 44 0.4× 173 2.1× 38 0.7× 46 1.1× 27 317
Luis Ibarra United States 11 1.7k 4.8× 111 1.1× 48 0.6× 30 0.5× 48 1.2× 28 1.8k
Marc Seidel Germany 12 202 0.6× 32 0.3× 141 1.7× 143 2.5× 16 0.4× 36 411
Yunhe Liu China 15 648 1.8× 42 0.4× 74 0.9× 136 2.3× 20 0.5× 69 720
S. Arangio Italy 9 342 1.0× 73 0.7× 40 0.5× 38 0.7× 8 0.2× 14 434
Renato Giannini Italy 16 739 2.1× 132 1.3× 42 0.5× 46 0.8× 18 0.4× 65 844
Süleyman Adanur Türkiye 19 812 2.3× 60 0.6× 90 1.1× 69 1.2× 9 0.2× 52 870

Countries citing papers authored by Daegi Hahm

Since Specialization
Citations

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

Fields of papers citing papers by Daegi Hahm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daegi Hahm

This figure shows the co-authorship network connecting the top 25 collaborators of Daegi Hahm. A scholar is included among the top collaborators of Daegi Hahm 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 Daegi Hahm. Daegi Hahm 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, Sung‐Wan, Bub-Gyu Jeon, Daegi Hahm, & Min‐Kyu Kim. (2025). Failure behavior for the thickness change of pipe elbows in nuclear power plant piping system. International Journal of Pressure Vessels and Piping. 218. 105626–105626.
3.
Hahm, Daegi, et al.. (2025). Enhancing LLM Agent Safety via Causal Influence Prompting. 15143–15168.
4.
Kwag, Shinyoung, et al.. (2024). Computationally efficient Complete-Sampling-based fault tree analyses for seismic probabilistic safety assessment of nuclear facilities. Expert Systems with Applications. 260. 125341–125341. 2 indexed citations
5.
Kwag, Shinyoung, et al.. (2024). A review of COHRISK: Multihazard risk quantification software for nuclear power plants. Nuclear Engineering and Technology. 56(12). 5281–5290. 1 indexed citations
6.
Kwag, Shinyoung, et al.. (2024). Investigating Natural Disaster‐Related External Events at Nuclear Power Plants: Towards Climate Change Resilience. International Journal of Energy Research. 2024(1). 2 indexed citations
7.
Kwag, Shinyoung, et al.. (2024). Probabilistic safety assessment of off-site power system under typhoon considering failure correlation between transmission towers. Reliability Engineering & System Safety. 254. 110637–110637. 4 indexed citations
8.
Jeon, Bub-Gyu, et al.. (2024). Seismic Behavior Characteristics Analysis of a Cabinet Model via Experimental and Numerical Studies. Journal of the Korean Society for Advanced Composite Structures. 15(4). 24–31. 1 indexed citations
9.
10.
Kim, Sung‐Wan, et al.. (2022). Failure criteria evaluation of steel pipe elbows in nuclear power plant piping systems using cumulative damage models. Thin-Walled Structures. 182. 110250–110250. 13 indexed citations
11.
Jeon, Bub-Gyu, et al.. (2022). Seismic Fragility Evaluation of Main Steam Piping of Isolated APR1400 NPP Considering the Actual Failure Mode. Sustainability. 14(14). 8315–8315. 5 indexed citations
12.
Kim, Sung‐Wan, et al.. (2021). Evaluation of the Limit State of a Six-Inch Carbon Steel Pipe Elbow in Base-Isolated Nuclear Power Plants. Energies. 14(24). 8400–8400. 1 indexed citations
13.
Kwag, Shinyoung, et al.. (2021). Toward improvement of sampling-based seismic probabilistic safety assessment method for nuclear facilities using composite distribution and adaptive discretization. Reliability Engineering & System Safety. 215. 107809–107809. 15 indexed citations
14.
Jeon, Bub-Gyu, et al.. (2021). Seismic Performance of Piping Systems of Isolated Nuclear Power Plants Determined by Numerical Considerations. Energies. 14(13). 4028–4028. 2 indexed citations
15.
Kwag, Shinyoung, Daegi Hahm, Min‐Kyu Kim, & Seunghyun Eem. (2020). Development of a Probabilistic Seismic Performance Assessment Model of Slope Using Machine Learning Methods. Sustainability. 12(8). 3269–3269. 12 indexed citations
16.
Kim, Sung‐Wan, et al.. (2018). Low-cycle fatigue behaviors of the elbow in a nuclear power plant piping system using the moment and deformation angle. Engineering Failure Analysis. 96. 348–361. 36 indexed citations
17.
Kim, Sung‐Wan, et al.. (2017). Strain and deformation angle for a steel pipe elbow using image measurement system under in-plane cyclic loading. Nuclear Engineering and Technology. 50(1). 190–202. 17 indexed citations
18.
Jeon, Bub-Gyu, et al.. (2015). Seismic Fragility Estimates of Piping System of Base-isolated Nuclear Power Plant. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
19.
Jeon, Bub-Gyu, et al.. (2014). Ictws2014-0901 Seismic Fragility Evaluation of Base Isolated Nuclear Power Plant Piping System. 3 indexed citations
20.
Hahm, Daegi, et al.. (2010). Assessment of the Internal Pressure Fragility of the CANDU Type Containment Buildings using Nonlinear Finite Element Analysis. Journal of the Computational Structural Engineering Institute of Korea. 23(4). 445–452. 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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