Tae Yoon Kim

1.5k total citations
79 papers, 1.0k citations indexed

About

Tae Yoon Kim is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance. According to data from OpenAlex, Tae Yoon Kim has authored 79 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 27 papers in Management Science and Operations Research and 26 papers in Finance. Recurrent topics in Tae Yoon Kim's work include Statistical Methods and Inference (27 papers), Financial Risk and Volatility Modeling (19 papers) and Stock Market Forecasting Methods (17 papers). Tae Yoon Kim is often cited by papers focused on Statistical Methods and Inference (27 papers), Financial Risk and Volatility Modeling (19 papers) and Stock Market Forecasting Methods (17 papers). Tae Yoon Kim collaborates with scholars based in South Korea, United States and Ethiopia. Tae Yoon Kim's co-authors include Kyong Joo Oh, Jae Joon Ahn, Chiho Kim, Sun Young Hwang, Dennis D. Cox, Dong Ha Kim, Jeong‐Soo Park, Sung-Hwan Min, Suk Jun Lee and Byeong U. Park and has published in prestigious journals such as Expert Systems with Applications, Journal of Banking & Finance and Technological Forecasting and Social Change.

In The Last Decade

Tae Yoon Kim

67 papers receiving 952 citations

Peers

Tae Yoon Kim
Comparison fields: 5 of 100
  • Management Science and Operations Research 463
  • Economics and Econometrics 303
  • Finance 285
  • Artificial Intelligence 225
  • Statistics and Probability 199
Replace A. Thavaneswaran with:
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Wolfgang Schmid Germany
Juan Romo Spain
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D. L. McLeish Canada
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Nicole Bäuerle Germany
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Citations per field, relative to Tae Yoon Kim
Tae Yoon Kim · 1×
Citations per year, relative to Tae Yoon Kim
Tae Yoon Kim · 1×

Countries citing papers authored by Tae Yoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae Yoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae Yoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Yoon Kim. A scholar is included among the top collaborators of Tae Yoon 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 Tae Yoon Kim. Tae Yoon 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
# Work Indexed citations
1 0
2 4
3 2
4 1
5 3
6 3
7 20
8
Credibility estimation via kernel mixed effects model
0
9 13
10
Group-wise Analysis of the Relations Between High School GPA, SAT Score and Grade at College
1
11
Using Support Vector Machine to Development Early Warning System for Financial Crisis
2
12 76
13 5
14 13
15 26
16 1
17 3
18 9
19 17
20 16

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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