Hyeongwoo Kim
-
- Monetary Policy and Economic Impact 33
- Finance top 5%
- Financial Markets and Investment Strategies 9
- Global Financial Crisis and Policies 8
- Financial Risk and Volatility Modeling 5
- Economics and Econometrics top 5%
- Market Dynamics and Volatility 18
- Complex Systems and Time Series Analysis 6
- Fiscal Policy and Economic Growth 5
- Economic theories and models 5
- Co-authors
- Bong-Han KimHong Ghi MinHenry ThompsonShu‐Ling ChenJohn D. JacksonT. Randolph BeardGeorge S. FordJ.D. Jackson
- Journals
- Economic Modelling (6 papers)Journal of Forecasting (2 papers)Journal of International Money and Finance (2 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Hyeongwoo Kim
38 papers receiving 437 citations
Peers
Comparison fields: 5 of 51
- General Economics, Econometrics and Finance 253
- Finance 205
- Economics and Econometrics 370
- Accounting 34
- Management Science and Operations Research 35
Countries citing papers authored by Hyeongwoo Kim
This map shows the geographic impact of Hyeongwoo 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 Hyeongwoo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeongwoo Kim more than expected).
Fields of papers citing papers by Hyeongwoo Kim
This network shows the impact of papers produced by Hyeongwoo 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 Hyeongwoo Kim. The network helps show where Hyeongwoo Kim may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Hyeongwoo 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 | 2024 | 0 | |
| 2 | 2020 | 7 | |
| 3 | 2018 | 4 | |
| 4 | 2018 | 4 | |
| 5 | 2017 | 2 | |
| 6 | 2015 | 8 | |
| 7 | 2015 | 4 | |
| 8 | 2014 | 42 | |
| 9 | 2014 | 4 | |
| 10 | 2013 | 18 | |
| 11 | 2013 | 3 | |
| 12 | 2012 | 4 | |
| 13 | 2011 | 3 | |
| 14 | Can Government Spending Get America Working Again? An Empirical Investigation | 2011 | 5 |
| 15 | 2010 | 16 | |
| 16 | 2010 | 1 | |
| 17 | 2008 | 12 | |
| 18 | 2008 | 14 | |
| 19 | Essays on exchange rate models under a Taylor rule type monetary policy | 2006 | 3 |
| 20 | Half-Life Estimation under the Taylor Rule∗ | 2005 | 1 |
About Hyeongwoo Kim
Hyeongwoo Kim is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics, having authored 43 papers that have together received 461 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (33 papers), Market Dynamics and Volatility (18 papers), Financial Markets and Investment Strategies (9 papers), Global Financial Crisis and Policies (8 papers), Complex Systems and Time Series Analysis (6 papers), Fiscal Policy and Economic Growth (5 papers), Financial Risk and Volatility Modeling (5 papers) and Economic theories and models (5 papers). The work is most often cited by research in General Economics, Econometrics and Finance (253 citations), Finance (205 citations) and Economics and Econometrics (370 citations). Hyeongwoo Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Bong-Han Kim, Hong Ghi Min, Henry Thompson, Shu‐Ling Chen, John D. Jackson, T. Randolph Beard, George S. Ford, J.D. Jackson, Seth C. Anderson and Liping Gao. Their work appears in journals such as Economic Modelling, Journal of Forecasting, Journal of International Money and Finance, International Review of Economics & Finance and Empirical Economics.
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.