Jeongcheol Ha
- Statistics and Probability top 5%
- Finance top 5%
- Sociology and Political Science
- Economics and Econometrics
- General Economics, Econometrics and Finance
- Co-authors
- Hyun-Kyung LeeSangyeol LeeOkyoung NaHyunseok ChoiSun Young HwangCheolyong ParkTae Yoon KimHongyan An
- Topics
- Statistical Methods and Inference (5 papers)Financial Risk and Volatility Modeling (4 papers)Education and Learning Interventions (2 papers)
- Journals
- Scandinavian Journal of StatisticsStatistics & Probability LettersCommunication in Statistics- Theory and Methods
- Partner nations
- South Korea
In The Last Decade
Jeongcheol Ha
15 papers receiving 254 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 91
- Finance 89
- Sociology and Political Science 85
- Economics and Econometrics 63
- General Economics, Econometrics and Finance 31
Countries citing papers authored by Jeongcheol Ha
This map shows the geographic impact of Jeongcheol Ha'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 Jeongcheol Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeongcheol Ha more than expected).
Fields of papers citing papers by Jeongcheol Ha
This network shows the impact of papers produced by Jeongcheol Ha. 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 Jeongcheol Ha. The network helps show where Jeongcheol Ha may publish in the future.
Co-authorship network of co-authors of Jeongcheol Ha
This figure shows the co-authorship network connecting the top 25 collaborators of Jeongcheol Ha. A scholar is included among the top collaborators of Jeongcheol Ha 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 Jeongcheol Ha. Jeongcheol Ha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 121 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | A Study on the factors inducing internet addiction of college students | 7 |
| 14 | 4 | |
| 15 | Testing the domestic financial data for the normality of the innovation based on the GARCH(1,1) model | 1 |
| 16 | 3 | |
| 17 | 145 | |
| 18 | 3 |
About Jeongcheol Ha
Jeongcheol Ha is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 315 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Financial Risk and Volatility Modeling (4 papers) and Education and Learning Interventions (2 papers). The work is most often cited by research in Statistics and Probability (91 citations), Finance (89 citations) and Leadership and Management (9 citations). Jeongcheol Ha has collaborated with scholars based in South Korea. Frequent co-authors include Hyun-Kyung Lee, Sangyeol Lee, Okyoung Na, Hyunseok Choi, Sun Young Hwang, Cheolyong Park, Tae Yoon Kim, Hongyan An and Tae-Yoon Kim. Their work appears in journals such as Scandinavian Journal of Statistics, Statistics & Probability Letters and Communication in Statistics- Theory and Methods.
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.