Young Shin Kim

2.0k citations
86 papers · 1.2k indexed · h-index 18
Topics
Financial Risk and Volatility Modeling (41 papers)Stochastic processes and financial applications (40 papers)Complex Systems and Time Series Analysis (20 papers)

In The Last Decade

Young Shin Kim

81 papers receiving 1.1k citations

Peers

Young Shin Kim
Comparison fields: 5 of 91
  • Finance 755
  • Economics and Econometrics 494
  • Management Science and Operations Research 263
  • Demography 103
  • Materials Chemistry 78
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Countries citing papers authored by Young Shin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young Shin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Shin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young Shin Kim. A scholar is included among the top collaborators of Young Shin 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 Young Shin Kim. Young Shin Kim 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 1
3 5
4 2
5 4
6 8
7 2
8 8
9 5
10
Systematic risk measurement in the global banking stock market with time series analysis and CoVaR
6
11
Mean-CoAVaR optimization for global banking portfolios
4
12 9
13
Approximation of Stable and Geometric Stable Distribution
2
14 6
15 34
16 54
17 11
18
Analysis of the Quality Attributes and the Customer Satisfaction in School Foodservice by School Type and Distribution Place
11
19
Barrier Option Pricing by Branching Processes
1
20
Computing VAR and AVaR in Infinitely Divisible Distributions
31

About Young Shin Kim

Young Shin Kim is a scholar working on Finance, Economics and Econometrics and Management Science and Operations Research, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (41 papers), Stochastic processes and financial applications (40 papers) and Complex Systems and Time Series Analysis (20 papers). The work is most often cited by research in Finance (755 citations), Management Science and Operations Research (263 citations) and Economics and Econometrics (494 citations). Young Shin Kim has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Frank J. Fabozzi, Michele Leonardo Bianchi, Svetlozar T. Rachev, Svetlozar T. Rachev, Harry Zeitlin, Yong K. Cho, Thomas F. Coleman, Stoyan V. Stoyanov, Rosella Giacometti and J. D. Brock. Their work appears in journals such as Advanced Materials, Applied Physics Letters and Analytical Chemistry.

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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