Soohyun Cho
- Cognitive Neuroscience top 5%
- Statistics and Probability top 1%
- Developmental and Educational Psychology top 5%
- Education top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- David C. GearyVinod MenonTyrone D. CannonKeith J. HolyoakSrikanth RyaliShaozheng QinMiriam Rosenberg‐LeeTianwen Chen
- Topics
- Cognitive and developmental aspects of mathematical skills (14 papers)Mathematics Education and Teaching Techniques (7 papers)Child and Animal Learning Development (5 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Soohyun Cho
23 papers receiving 681 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 385
- Statistics and Probability 348
- Developmental and Educational Psychology 294
- Education 177
- Experimental and Cognitive Psychology 127
Countries citing papers authored by Soohyun Cho
This map shows the geographic impact of Soohyun 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 Soohyun Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soohyun Cho more than expected).
Fields of papers citing papers by Soohyun Cho
This network shows the impact of papers produced by Soohyun 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 Soohyun Cho. The network helps show where Soohyun Cho may publish in the future.
Co-authorship network of co-authors of Soohyun Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Soohyun Cho. A scholar is included among the top collaborators of Soohyun 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 Soohyun Cho. Soohyun 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 | 2 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 195 | |
| 14 | 95 | |
| 15 | 1 | |
| 16 | 80 | |
| 17 | 79 | |
| 18 | 4 | |
| 19 | 107 | |
| 20 | Types of Consumption Values and Art Appreciation of University Students in Seoul | 2 |
About Soohyun Cho
Soohyun Cho is a scholar working on Statistics and Probability, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 24 papers that have together received 703 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (14 papers), Mathematics Education and Teaching Techniques (7 papers) and Child and Animal Learning Development (5 papers). The work is most often cited by research in Statistics and Probability (348 citations), Developmental and Educational Psychology (294 citations) and Cognitive Neuroscience (385 citations). Soohyun Cho has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include David C. Geary, Vinod Menon, Tyrone D. Cannon, Keith J. Holyoak, Srikanth Ryali, Shaozheng Qin, Miriam Rosenberg‐Lee, Tianwen Chen, Arron W.S. Metcalfe and Christina B. Young. Their work appears in journals such as Nature Neuroscience, PLoS ONE and Cerebral Cortex.
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.