Gyeongcheol Cho
- Sociology and Political Science top 10%
- Marketing top 5%
- Organizational Behavior and Human Resource Management top 5%
- Social Psychology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Heungsun HwangMarko SarstedtChristian M. RingleKwanghee JungYounyoung ChoiSeoung‐Hwan LeeJinyeong YimJaehoon Lee
- Topics
- Multi-Criteria Decision Making (6 papers)Advanced Statistical Modeling Techniques (5 papers)Psychometric Methodologies and Testing (5 papers)
- Cited by
- MarketingInformation Systems and ManagementOrganizational Behavior and Human Resource Management
- Journals
- PLoS ONEeLifeFrontiers in Psychology
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Gyeongcheol Cho
22 papers receiving 790 citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Sociology and Political Science 156
- Marketing 118
- Organizational Behavior and Human Resource Management 107
- Social Psychology 101
- Artificial Intelligence 94
Countries citing papers authored by Gyeongcheol Cho
This map shows the geographic impact of Gyeongcheol Cho'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 Gyeongcheol Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyeongcheol Cho more than expected).
Fields of papers citing papers by Gyeongcheol Cho
This network shows the impact of papers produced by Gyeongcheol Cho. 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 Gyeongcheol Cho. The network helps show where Gyeongcheol Cho may publish in the future.
Co-authorship network of co-authors of Gyeongcheol Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Gyeongcheol Cho. A scholar is included among the top collaborators of Gyeongcheol Cho 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 Gyeongcheol Cho. Gyeongcheol Cho 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 | 2 | |
| 4 | Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modelingbreakdown → | 41 |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 28 | |
| 9 | 33 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 32 | |
| 13 | 35 | |
| 14 | 8 | |
| 15 | 56 | |
| 16 | 1 | |
| 17 | 84 | |
| 18 | 144 | |
| 19 | 17 | |
| 20 | 0 |
About Gyeongcheol Cho
Gyeongcheol Cho is a scholar working on Management Science and Operations Research, Statistics and Probability and Analytical Chemistry, having authored 27 papers that have together received 811 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (6 papers), Advanced Statistical Modeling Techniques (5 papers) and Psychometric Methodologies and Testing (5 papers). The work is most often cited by research in Marketing (118 citations), Information Systems and Management (79 citations) and Organizational Behavior and Human Resource Management (107 citations). Gyeongcheol Cho has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Heungsun Hwang, Marko Sarstedt, Christian M. Ringle, Kwanghee Jung, Younyoung Choi, Seoung‐Hwan Lee, Jinyeong Yim, Jaehoon Lee, Vibhuti Gupta and Hosung Choo. Their work appears in journals such as PLoS ONE, eLife and Frontiers in Psychology.
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.