Kibum Song
- Electrical and Electronic Engineering top 10%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Building and Construction top 10%
- Topics
- Magnetic properties of thin films (5 papers)Magneto-Optical Properties and Applications (3 papers)Graphene research and applications (2 papers)
- Cited by
- Management Science and Operations ResearchElectrical and Electronic EngineeringEcological Modeling
- Journals
- Journal of Applied PhysicsIEEE Transactions on Power SystemsIEEE Transactions on Power Delivery
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Kibum Song
15 papers receiving 544 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 481
- Management Science and Operations Research 171
- Computer Vision and Pattern Recognition 105
- Artificial Intelligence 101
- Building and Construction 56
Countries citing papers authored by Kibum Song
This map shows the geographic impact of Kibum 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 Kibum Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kibum Song more than expected).
Fields of papers citing papers by Kibum Song
This network shows the impact of papers produced by Kibum 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 Kibum Song. The network helps show where Kibum Song may publish in the future.
Co-authorship network of co-authors of Kibum Song
This figure shows the co-authorship network connecting the top 25 collaborators of Kibum Song. A scholar is included among the top collaborators of Kibum 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 Kibum Song. Kibum 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 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 94 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 49 | |
| 11 | 378 | |
| 12 | 45 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 3 |
About Kibum Song
Kibum Song is a scholar working on Ecological Modeling, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 17 papers that have together received 587 indexed citations. Recurring topics across this work include Magnetic properties of thin films (5 papers), Magneto-Optical Properties and Applications (3 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Management Science and Operations Research (171 citations), Electrical and Electronic Engineering (481 citations) and Ecological Modeling (28 citations). Kibum Song has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Gilsoo Jang, Dug Hun Hong, Jung-Wook Park, Kyung Ho Kim, M.S. Kim, Jin Joo, Jin Yong Lee, H.K. Kim, M. Naoe and Hiroshi Itô. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Power Systems and IEEE Transactions on Power Delivery.
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.