Kihyun Ryoo
- Education top 2%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Literature and Literary Theory top 5%
- Artificial Intelligence
- Co-authors
- Marcia C. LinnBryan A. BrownOu Lydia LiuAnna N. RaffertyKevin W. McElhaneyLibby GerardJamie RodriguezVanessa Svihla
- Topics
- Innovative Teaching and Learning Methods (12 papers)Science Education and Pedagogy (11 papers)Visual and Cognitive Learning Processes (7 papers)
- Partner nations
- United StatesRussiaHungary
In The Last Decade
Kihyun Ryoo
19 papers receiving 539 citations
Peers
Comparison fields: 5 of 63
- Education 397
- Developmental and Educational Psychology 326
- Experimental and Cognitive Psychology 97
- Literature and Literary Theory 62
- Artificial Intelligence 57
Countries citing papers authored by Kihyun Ryoo
This map shows the geographic impact of Kihyun Ryoo'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 Kihyun Ryoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kihyun Ryoo more than expected).
Fields of papers citing papers by Kihyun Ryoo
This network shows the impact of papers produced by Kihyun Ryoo. 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 Kihyun Ryoo. The network helps show where Kihyun Ryoo may publish in the future.
Co-authorship network of co-authors of Kihyun Ryoo
This figure shows the co-authorship network connecting the top 25 collaborators of Kihyun Ryoo. A scholar is included among the top collaborators of Kihyun Ryoo 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 Kihyun Ryoo. Kihyun Ryoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 27 | |
| 6 | 6 | |
| 7 | 21 | |
| 8 | 18 | |
| 9 | 48 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 59 | |
| 13 | 9 | |
| 14 | 43 | |
| 15 | 78 | |
| 16 | Energy across the curriculum: Cumulative learning using embedded assessment results | 3 |
| 17 | Student progress in understanding energy concepts in photosynthesis using interactive visualizations | 3 |
| 18 | 34 | |
| 19 | 162 |
About Kihyun Ryoo
Kihyun Ryoo is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Education, having authored 19 papers that have together received 578 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (12 papers), Science Education and Pedagogy (11 papers) and Visual and Cognitive Learning Processes (7 papers). The work is most often cited by research in Developmental and Educational Psychology (326 citations), Education (397 citations) and Computer Science Applications (55 citations). Kihyun Ryoo has collaborated with scholars based in United States, Russia and Hungary. Frequent co-authors include Marcia C. Linn, Bryan A. Brown, Ou Lydia Liu, Anna N. Rafferty, Kevin W. McElhaney, Libby Gerard, Jamie Rodriguez, Vanessa Svihla and Monica L. Miles. Their work appears in journals such as Science, Journal of Educational Psychology and Journal of Research in Science Teaching.
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.