Pilwon Kim
Impact in
- Numerical Analysis top 10%
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
-
- Nonlinear Waves and Solitons
Papers in
-
- Neural dynamics and brain function 7
-
- Nonlinear Waves and Solitons 3
- Co-authors
- Chang Hyeong Lee (5 shared papers)Kyeong-Hun Kim (1 shared paper)Peter J. Olver (1 shared paper)Perry H. Leo (1 shared paper)Chun Sang Yoo (1 shared paper)Yongbiao Yang (1 shared paper)Jaeup U. Kim (1 shared paper)Soyeong Jeong (1 shared paper)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (4 papers)Soft Matter (2 papers)The Journal of Chemical Physics (2 papers)Chaos Solitons & Fractals (2 papers)Complexity (2 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Pilwon Kim
23 papers receiving 240 citations
Peers
Comparison fields: 5 of 73
- Numerical Analysis 44
- Statistical and Nonlinear Physics 72
- Modeling and Simulation 23
- Computational Mechanics 45
- Physical and Theoretical Chemistry 10
Countries citing papers authored by Pilwon Kim
This map shows the geographic impact of Pilwon 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 Pilwon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilwon Kim more than expected).
Fields of papers citing papers by Pilwon Kim
This network shows the impact of papers produced by Pilwon 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 Pilwon Kim. The network helps show where Pilwon Kim may publish in the future.
Co-authors
The 11 scholars most cited alongside Pilwon Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 74 | |
| 2 | 2007 | 24 | |
| 3 | 2004 | 23 | |
| 4 | 2017 | 21 | |
| 5 | 2007 | 20 | |
| 6 | 2020 | 14 | |
| 7 | 2012 | 11 | |
| 8 | 2013 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2014 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2025 | 2 | |
| 19 | Fast Probability Generating Function Method for Stochastic Chemical Reaction Networks | 2014 | 2 |
| 20 | 2022 | 2 |
About Pilwon Kim
Pilwon Kim is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Molecular Biology, Artificial Intelligence and Numerical Analysis, having authored 27 papers that have together received 247 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neural Networks and Reservoir Computing (4 papers), Numerical methods for differential equations (4 papers), Gene Regulatory Network Analysis (4 papers), Nonlinear Waves and Solitons (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Memory and Neural Computing (3 papers) and Ecosystem dynamics and resilience (3 papers). The work is most often cited by research in Numerical Analysis (44 citations), Statistical and Nonlinear Physics (72 citations), Modeling and Simulation (23 citations), Computational Mechanics (45 citations) and Physical and Theoretical Chemistry (10 citations). Pilwon Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Chang Hyeong Lee, Kyeong-Hun Kim, Peter J. Olver, Perry H. Leo, Chun Sang Yoo, Yongbiao Yang, Jaeup U. Kim, Soyeong Jeong, Yunho Kim and Bongsoo Jang. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Soft Matter, The Journal of Chemical Physics, Chaos Solitons & Fractals and Complexity.
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.