Seoiyoung Ahn
Impact in
- Applied Mathematics top 2%
- Mathematical functions and polynomials
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
Papers in
-
- Matrix Theory and Algorithms 5
-
- Quantum chaos and dynamical systems 2
- Co-authors
- E.I. Jury (5 shared papers)Daniel E. Feldman (2 shared papers)Walter Freeman (1 shared paper)Tomer Langberg (1 shared paper)Walter J. Freeman (2 shared papers)Michael T. Froehler (6 shared papers)Nishit Mummareddy (6 shared papers)Rohan Chitale (6 shared papers)
- Journals
- IEEE Transactions on Automatic Control (4 papers)Journal of the Franklin Institute (2 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)Journal of Dynamic Systems Measurement and Control (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Seoiyoung Ahn
17 papers receiving 682 citations
Seoiyoung Ahn's Hit Papers
Peers
Comparison fields: 5 of 79
- Applied Mathematics 329
- Numerical Analysis 109
- Algebra and Number Theory 69
- Mathematical Physics 122
- Discrete Mathematics and Combinatorics 42
Countries citing papers authored by Seoiyoung Ahn
This map shows the geographic impact of Seoiyoung 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 Seoiyoung Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seoiyoung Ahn more than expected).
Fields of papers citing papers by Seoiyoung Ahn
This network shows the impact of papers produced by Seoiyoung 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 Seoiyoung Ahn. The network helps show where Seoiyoung Ahn may publish in the future.
Co-authors
The 15 scholars most cited alongside Seoiyoung Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | On orthogonal polynomials Hit paper breakdown → | 1975 | 548 |
| 2 | 2019 | 29 | |
| 3 | 1972 | 23 | |
| 4 | 2019 | 22 | |
| 5 | 1974 | 17 | |
| 6 | 1972 | 17 | |
| 7 | 1974 | 14 | |
| 8 | 1982 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 1971 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 1974 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 1979 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 1975 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 1983 | 1 | |
| 19 | 2024 | 0 |
About Seoiyoung Ahn
Seoiyoung Ahn is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics, Cognitive Neuroscience, Biomedical Engineering and Molecular Biology, having authored 19 papers that have together received 732 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (5 papers), Advanced X-ray and CT Imaging (3 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Advanced Topics in Algebra (2 papers), Quantum chaos and dynamical systems (2 papers), Gene Regulatory Network Analysis (2 papers) and Composite Structure Analysis and Optimization (1 paper). The work is most often cited by research in Applied Mathematics (329 citations), Numerical Analysis (109 citations), Algebra and Number Theory (69 citations), Mathematical Physics (122 citations) and Discrete Mathematics and Combinatorics (42 citations). Seoiyoung Ahn has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include E.I. Jury, Daniel E. Feldman, Walter Freeman, Tomer Langberg, Walter J. Freeman, Michael T. Froehler, Nishit Mummareddy, Rohan Chitale, Matthew R. Fusco and Steven G. Roth. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of the Franklin Institute, Journal of Stroke and Cerebrovascular Diseases, Journal of Dynamic Systems Measurement and Control and Nature Neuroscience.
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.