Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Exchange rate anomalies in the industrial countries: A solution with a structural VAR approach
Citations per year, relative to Soyoung Kim Soyoung Kim (= 1×)
peers
Gerard Duménil
Countries citing papers authored by Soyoung Kim
Since
Specialization
Citations
This map shows the geographic impact of Soyoung 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 Soyoung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soyoung Kim more than expected).
This network shows the impact of papers produced by Soyoung 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 Soyoung Kim. The network helps show where Soyoung Kim may publish in the future.
Co-authorship network of co-authors of Soyoung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Soyoung Kim.
A scholar is included among the top collaborators of Soyoung Kim based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Soyoung Kim. Soyoung Kim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Soyoung & Aaron Mehrotra. (2019). Examining Macroprudential Policy and its Macroeconomic Effects – Some New Evidence. RePEc: Research Papers in Economics.10 indexed citations
7.
Kim, Soyoung. (2018). What Is Learned from a Currency Crisis, Fear of Floating, or Hollow Middle? Identifying Exchange Rate Policy in Crisis Countries. International journal of central banking. 12(4). 105–146.1 indexed citations
Kim, Soyoung & Aaron Mehrotra. (2015). Managing price and financial stability objectives - what can we learn from the Asia-Pacific region?. SSRN Electronic Journal.2 indexed citations
10.
Kim, Soyoung, Sunghyun Kim, & Yoonseok Choi. (2013). Determinants of International Capital Flows in Korea: Push vs. Pull Factors. Korea and the World Economy. 14(3). 447–474.4 indexed citations
11.
Kim, Soyoung. (2011). International Macroeconomic Fluctuations in Korea. Seoul Journal of Economics. 24.2 indexed citations
12.
Kim, Soyoung & Doo Yong Yang. (2010). Managing Capital Flows: The Case of the Republic of Korea. Econstor (Econstor).8 indexed citations
13.
Kim, Soyoung, et al.. (2009). Relative efficiency appraisal and influence analysis of inputs-outputs on the 2nd stage BK21 research teams. 47(2). 105–134.
Kim, Soyoung, Jong‐Wha Lee, & Kwanho Shin. (2006). Regional and Global Financial Integration in East Asia. MPRA Paper.7 indexed citations
16.
Kim, Soyoung, et al.. (2006). Market Segmentation of Musical Audience-Focused on University Students-. The Journal of the Korea Contents Association. 6(5). 131–144.1 indexed citations
17.
Kim, Soyoung, Sunghyun Kim, & Yunjong Wang. (2005). International Capital Flows and Business Cycles in the Asia Pacific Region. Chapters.3 indexed citations
18.
Kim, Soyoung, et al.. (2001). Capital account liberalization and macroeconomic performance : the case of Korea.1 indexed citations
19.
Kim, Soyoung. (2001). Exchange Rate Stabilization in the Erm: Identifying European Monetary Policy Reactions. SSRN Electronic Journal.3 indexed citations
20.
Kim, Soyoung. (2001). International Transmission of U.S. Monetary Policy Shocks: Evidence from VAR's. SSRN Electronic Journal.20 indexed citations
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.