Dong Wan Shin

1.7k citations
145 papers · 1.2k indexed · h-index 18
Topics
Financial Risk and Volatility Modeling (76 papers)Monetary Policy and Economic Impact (62 papers)Market Dynamics and Volatility (37 papers)

In The Last Decade

Dong Wan Shin

128 papers receiving 1.2k citations

Peers

Dong Wan Shin
Comparison fields: 5 of 113
  • Economics and Econometrics 596
  • General Economics, Econometrics and Finance 454
  • Finance 412
  • Statistics and Probability 362
  • Management Science and Operations Research 134
Replace William P. McCormick with:
William P. McCormick United States
Marine Carrasco Canada
D. L. McLeish Canada
Offer Lieberman Israel
Graciela González–Farías Mexico
Brendan McCabe United Kingdom
Zhongjun Qu United States
Jiti Gao Australia
Degui Li United Kingdom
Alan T. K. Wan Hong Kong
Dong Wan Shin relative to William P. McCormick United States William P. McCormick's profile →
Citations per field
00.5×8.4×
William P. McCormick · 1×
Citations per year

Countries citing papers authored by Dong Wan Shin

Since Specialization
Citations

This map shows the geographic impact of Dong Wan Shin'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 Dong Wan Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Wan Shin more than expected).

Fields of papers citing papers by Dong Wan Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Wan Shin. 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 Dong Wan Shin. The network helps show where Dong Wan Shin may publish in the future.

Co-authorship network of co-authors of Dong Wan Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Wan Shin. A scholar is included among the top collaborators of Dong Wan Shin 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 Dong Wan Shin. Dong Wan Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 1
3 1
4 2
5 6
6
A sign test for unit roots in a seasonal MTAR model
0
7 1
8 2
9 16
10 6
11 3
12 11
13 4
14 17
15 1
16 1
17 7
18 20
19 104
20 2

About Dong Wan Shin

Dong Wan Shin is a scholar working on Finance, General Economics, Econometrics and Finance and Statistics and Probability, having authored 145 papers that have together received 1.2k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (76 papers), Monetary Policy and Economic Impact (62 papers) and Market Dynamics and Volatility (37 papers). The work is most often cited by research in General Economics, Econometrics and Finance (454 citations), Statistics and Probability (362 citations) and Finance (412 citations). Dong Wan Shin has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Taesung Park, Ji Eun Choi, Sangun Park, Murali Rao, Taesung Park, Seung‐Ho Kang, Wayne A. Fuller, Geun Eog Ji, Man-Suk Oh and Myoung‐jin Jang. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Biometrics and Journal of Econometrics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026