Okyu Kwon

1.0k total citations
36 papers, 764 citations indexed

About

Okyu Kwon is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Modeling and Simulation. According to data from OpenAlex, Okyu Kwon has authored 36 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 10 papers in Statistical and Nonlinear Physics and 10 papers in Modeling and Simulation. Recurrent topics in Okyu Kwon's work include COVID-19 epidemiological studies (10 papers), Complex Systems and Time Series Analysis (10 papers) and Stock Market Forecasting Methods (5 papers). Okyu Kwon is often cited by papers focused on COVID-19 epidemiological studies (10 papers), Complex Systems and Time Series Analysis (10 papers) and Stock Market Forecasting Methods (5 papers). Okyu Kwon collaborates with scholars based in South Korea, United States and Qatar. Okyu Kwon's co-authors include Jae‐Suk Yang, Hie‐Tae Moon, Woo‐Sik Son, Ji‐Eun Park, Yeonhee Ryu, Insung Ahn, Soo Beom Choi, Woo‐Sung Jung, Gabjin Oh and Hang-Hyun Jo and has published in prestigious journals such as Physical Review Letters, Journal of Cleaner Production and Physics Letters A.

In The Last Decade

Okyu Kwon

32 papers receiving 733 citations

Peers

Okyu Kwon
Comparison fields: 5 of 105
  • Economics and Econometrics 334
  • Statistical and Nonlinear Physics 289
  • Computer Networks and Communications 157
  • Cognitive Neuroscience 155
  • Modeling and Simulation 107
Replace Xiao-Pu Han with:
Xiao-Pu Han China
Akio Matsumoto Japan
Fernando F. Ferreira Brazil
Wen-Jie Xie China
Charles D. Brummitt United States
Ivan Romić Japan
Simi Haber Israel
Nicholas J. Foti United States
Chester Curme United States
Rui Menezes Portugal
Xiao-Pu Han China View profile →
Citations per field, relative to Okyu Kwon
Okyu Kwon · 1×
Citations per year, relative to Okyu Kwon
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Countries citing papers authored by Okyu Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Okyu Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Okyu Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Okyu Kwon. A scholar is included among the top collaborators of Okyu 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 Okyu Kwon. Okyu 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
# Work Indexed citations
1 0
2 0
3 3
4 5
5 2
6 1
7 6
8 3
9 12
10 1
11 4
12 1
13
Financial Restructuring in KOREA
0
14 7
15 14
16 19
17 8
18 119
19 32
20 47

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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