Tae-Wook Ko
Impact in
-
- stochastic dynamics and bifurcation
-
- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
-
- Nonlinear Dynamics and Pattern Formation 12
-
- stochastic dynamics and bifurcation 4
- Complex Network Analysis Techniques 1
- Nonlinear Photonic Systems 1
- Co-authors
- Bard Ermentrout (5 shared papers)Hie‐Tae Moon (5 shared papers)Hyunju Chang (3 shared papers)Sungwon Lee (1 shared paper)Hyun Woo Kim (2 shared papers)Jino Im (2 shared papers)Pan‐Jun Kim (1 shared paper)Hawoong Jeong (1 shared paper)
- Journals
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Scientific Reports (1 paper)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)npj Computational Materials (1 paper)Physica D Nonlinear Phenomena (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Tae-Wook Ko
15 papers receiving 540 citations
Peers
Comparison fields: 5 of 61
- Statistical and Nonlinear Physics 168
- Computer Networks and Communications 278
- Cognitive Neuroscience 207
- Materials Chemistry 169
- Electrical and Electronic Engineering 137
Countries citing papers authored by Tae-Wook Ko
This map shows the geographic impact of Tae-Wook Ko'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 Tae-Wook Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae-Wook Ko more than expected).
Fields of papers citing papers by Tae-Wook Ko
This network shows the impact of papers produced by Tae-Wook Ko. 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 Tae-Wook Ko. The network helps show where Tae-Wook Ko may publish in the future.
Co-authors
The 23 scholars most cited alongside Tae-Wook Ko, 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 | 2019 | 186 | |
| 2 | 2007 | 62 | |
| 3 | 2009 | 51 | |
| 4 | 2009 | 50 | |
| 5 | 2008 | 49 | |
| 6 | 2002 | 44 | |
| 7 | 2004 | 43 | |
| 8 | 2017 | 22 | |
| 9 | 2004 | 18 | |
| 10 | 2008 | 11 | |
| 11 | 2012 | 5 | |
| 12 | 2000 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2002 | 1 |
About Tae-Wook Ko
Tae-Wook Ko is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 16 papers that have together received 559 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (12 papers), Neural dynamics and brain function (5 papers), Mechanical and Optical Resonators (4 papers), stochastic dynamics and bifurcation (4 papers), Machine Learning in Materials Science (3 papers), Complex Network Analysis Techniques (1 paper), Nonlinear Photonic Systems (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (168 citations), Computer Networks and Communications (278 citations), Cognitive Neuroscience (207 citations), Materials Chemistry (169 citations) and Electrical and Electronic Engineering (137 citations). Tae-Wook Ko has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Bard Ermentrout, Hie‐Tae Moon, Hyunju Chang, Sungwon Lee, Hyun Woo Kim, Jino Im, Pan‐Jun Kim, Hawoong Jeong, Joseph Lee and Yasser Iturria‐Medina. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Scientific Reports, Chaos An Interdisciplinary Journal of Nonlinear Science, npj Computational Materials and Physica D Nonlinear Phenomena.
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.