Eunhye Song
- Management Science and Operations Research top 2%
- Statistics, Probability and Uncertainty top 2%
- Computational Theory and Mathematics top 5%
- Management Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Barry L. NelsonJeremy StaumC. Dennis PegdenYu‐Wen LinSoundar KumaraMichael P. BrundageAndreas WächterL. Jeff Hong
- Topics
- Simulation Techniques and Applications (21 papers)Advanced Multi-Objective Optimization Algorithms (11 papers)Probabilistic and Robust Engineering Design (11 papers)
- Journals
- Operations ResearchIEEE Transactions on MagneticsIEEE Transactions on Automation Science and Engineering
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Eunhye Song
32 papers receiving 378 citations
Peers
Comparison fields: 5 of 77
- Management Science and Operations Research 224
- Statistics, Probability and Uncertainty 137
- Computational Theory and Mathematics 96
- Management Information Systems 51
- Artificial Intelligence 51
Countries citing papers authored by Eunhye Song
This map shows the geographic impact of Eunhye Song'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 Eunhye Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunhye Song more than expected).
Fields of papers citing papers by Eunhye Song
This network shows the impact of papers produced by Eunhye Song. 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 Eunhye Song. The network helps show where Eunhye Song may publish in the future.
Co-authorship network of co-authors of Eunhye Song
This figure shows the co-authorship network connecting the top 25 collaborators of Eunhye Song. A scholar is included among the top collaborators of Eunhye Song 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 Eunhye Song. Eunhye Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 24 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 105 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | e-AIRS : An Integrated Aerospace Portal for Collaborative Experiments and Dynamic Parametric Studies | 1 |
| 20 | 3 |
About Eunhye Song
Eunhye Song is a scholar working on Management Science and Operations Research, Software and Statistics, Probability and Uncertainty, having authored 40 papers that have together received 388 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (21 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Probabilistic and Robust Engineering Design (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (137 citations), Management Science and Operations Research (224 citations) and Software (28 citations). Eunhye Song has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Barry L. Nelson, Jeremy Staum, C. Dennis Pegden, Yu‐Wen Lin, Soundar Kumara, Michael P. Brundage, Andreas Wächter, L. Jeff Hong, Uday V. Shanbhag and Henry Lam. Their work appears in journals such as Operations Research, IEEE Transactions on Magnetics and IEEE Transactions on Automation Science and Engineering.
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.