Oh Kang Kwon

439 citations
31 papers · 208 indexed · h-index 8
Topics
Stochastic processes and financial applications (18 papers)Financial Risk and Volatility Modeling (10 papers)Financial Markets and Investment Strategies (8 papers)

In The Last Decade

Oh Kang Kwon

27 papers receiving 192 citations

Peers

Oh Kang Kwon
Comparison fields: 5 of 46
  • Finance 151
  • Economics and Econometrics 61
  • Management Science and Operations Research 35
  • General Economics, Econometrics and Finance 34
  • Demography 19
Replace Marcos Escobar with:
Marcos Escobar Canada
Eliezer Z. Prisman Canada
Don R. Rich United States
Boda Kang Australia
Arnon Levy United States
Peter Lakner United States
Brice V. Dupoyet United States
Bong‐Gyu Jang South Korea
Oh Kang Kwon relative to Marcos Escobar Canada Marcos Escobar's profile →
Citations per field
00.5×1.6×
Marcos Escobar · 1×
Citations per year

Countries citing papers authored by Oh Kang Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Oh Kang Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oh Kang Kwon. 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 Oh Kang Kwon. The network helps show where Oh Kang Kwon may publish in the future.

Co-authorship network of co-authors of Oh Kang Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Oh Kang Kwon. A scholar is included among the top collaborators of Oh Kang Kwon 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 Oh Kang Kwon. Oh Kang Kwon 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 0
2 0
3 16
4 6
5 2
6 0
7 2
8 7
9 1
10 5
11 10
12 2
13 5
14 10
15
Default Probabilities According to the Bond Market
2
16 3
17 30
18 33
19 23
20 1

About Oh Kang Kwon

Oh Kang Kwon is a scholar working on Finance, Management Science and Operations Research and General Decision Sciences, having authored 31 papers that have together received 208 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (18 papers), Financial Risk and Volatility Modeling (10 papers) and Financial Markets and Investment Strategies (8 papers). The work is most often cited by research in Finance (151 citations), General Decision Sciences (9 citations) and General Economics, Econometrics and Finance (34 citations). Oh Kang Kwon has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Carl Chiarella, Mark S. Joshi, Andrew Grant, David Johnstone, Stephen Satchell, M. Zied Babaï, Dmitry Ivanov, Hans Byström and Rico Merkert. Their work appears in journals such as Transportation Research Part A Policy and Practice, Omega and International Journal of Forecasting.

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.

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