Young Ik Kim
- Numerical Analysis top 1%
- Computational Theory and Mathematics top 2%
- Modeling and Simulation top 5%
- Computational Mechanics top 10%
- Mathematical Physics top 10%
- Co-authors
- Young Hee GeumBeny NetaÁ. Alberto MagreñánMin Young LeeThomas StrganacChan Yong SungRamandeep BehlAlan Feldstein
- Topics
- Iterative Methods for Nonlinear Equations (38 papers)Advanced Optimization Algorithms Research (28 papers)Matrix Theory and Algorithms (18 papers)
- Journals
- Applied Mathematics and ComputationComputers & Mathematics with ApplicationsJournal of Computational and Applied Mathematics
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Young Ik Kim
49 papers receiving 468 citations
Peers
Comparison fields: 5 of 41
- Numerical Analysis 440
- Computational Theory and Mathematics 259
- Modeling and Simulation 100
- Computational Mechanics 95
- Mathematical Physics 43
Countries citing papers authored by Young Ik Kim
This map shows the geographic impact of Young Ik Kim'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 Young Ik Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Ik Kim more than expected).
Fields of papers citing papers by Young Ik Kim
This network shows the impact of papers produced by Young Ik Kim. 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 Young Ik Kim. The network helps show where Young Ik Kim may publish in the future.
Co-authorship network of co-authors of Young Ik Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Young Ik Kim. A scholar is included among the top collaborators of Young Ik Kim 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 Young Ik Kim. Young Ik Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 34 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 4 | |
| 10 | 16 | |
| 11 | 6 | |
| 12 | 27 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 25 | |
| 16 | 3 | |
| 17 | 12 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | Engineering Properties of Permeable Polymer Concrete with Rice-Husk Ash | 1 |
About Young Ik Kim
Young Ik Kim is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation, having authored 51 papers that have together received 509 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (38 papers), Advanced Optimization Algorithms Research (28 papers) and Matrix Theory and Algorithms (18 papers). The work is most often cited by research in Numerical Analysis (440 citations), Modeling and Simulation (100 citations) and Computational Theory and Mathematics (259 citations). Young Ik Kim has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Young Hee Geum, Beny Neta, Á. Alberto Magreñán, Min Young Lee, Thomas Strganac, Chan Yong Sung, Ramandeep Behl, Alan Feldstein, S. S. Motsa and Sang-Deok Lee. Their work appears in journals such as Applied Mathematics and Computation, Computers & Mathematics with Applications and Journal of Computational and Applied Mathematics.
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.