Kyungwon Kim
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 2
-
- Time Series Analysis and Forecasting 3
-
- Financial Risk and Volatility Modeling 3
- Banking stability, regulation, efficiency 2
- Financial Markets and Investment Strategies 2
-
- Complex Systems and Time Series Analysis 7
-
- Education and Learning Interventions 4
-
- Stock Market Forecasting Methods 2
- Co-authors
- Boreom LeeMinsung ChoiNguyen Thanh DucMinhyuk LeeJae Wook SongSungzoon ChoEun Kyung KwonJaram Park
- Partner nations
- South KoreaCanada
In The Last Decade
Kyungwon Kim
23 papers receiving 247 citations
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 107
- Signal Processing 30
- Experimental and Cognitive Psychology 23
- Finance 17
- Health Informatics 2
Countries citing papers authored by Kyungwon Kim
This map shows the geographic impact of Kyungwon 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 Kyungwon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyungwon Kim more than expected).
Fields of papers citing papers by Kyungwon Kim
This network shows the impact of papers produced by Kyungwon 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 Kyungwon Kim. The network helps show where Kyungwon Kim may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Kyungwon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 50 | |
| 7 | 2021 | 74 | |
| 8 | 2021 | 15 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 33 | |
| 12 | 2016 | 1 | |
| 13 | 2015 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 1 | |
| 16 | 2013 | 6 | |
| 17 | 2012 | 3 | |
| 18 | Information Transmission Between Korean Stock Markets and Chinese Stock markets | 2006 | 1 |
| 19 | Development of Nutrition Education Materials for Healthy Aging | 2006 | 2 |
| 20 | Issues and Directions in Developing Nutrition Education for Older Adults in Korea | 2000 | 4 |
About Kyungwon Kim
Kyungwon Kim is a scholar working on Finance, Management Science and Operations Research and Information Systems, having authored 24 papers that have together received 259 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (7 papers), Education and Learning Interventions (4 papers), Time Series Analysis and Forecasting (3 papers), Financial Risk and Volatility Modeling (3 papers), Stock Market Forecasting Methods (2 papers), Banking stability, regulation, efficiency (2 papers), Financial Markets and Investment Strategies (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (107 citations), Signal Processing (30 citations) and Experimental and Cognitive Psychology (23 citations). Kyungwon Kim has collaborated with scholars based in South Korea and Canada. Frequent co-authors include Boreom Lee, Minsung Choi, Nguyen Thanh Duc, Minhyuk Lee, Jae Wook Song, Sungzoon Cho, Eun Kyung Kwon, Jaram Park, Huijung Kim and Minhee Kim. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.