Kyu Han Koh
- Computer Science Applications top 0.5%
- Developmental and Educational Psychology top 2%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Education top 10%
- Co-authors
- Alexander RepenningAshok BasawapatnaDavid C. WebbHilarie NickersonVicki BennettClifford A. ShafferSusan MillerKris D. Gutiérrez
- Topics
- Teaching and Learning Programming (20 papers)Educational Games and Gamification (13 papers)Evolutionary Algorithms and Applications (6 papers)
- Journals
- Journal of Educational Computing ResearchACM Transactions on Computing EducationJournal of Data and Information Quality
- Partner nations
- United StatesEgyptSouth Korea
In The Last Decade
Kyu Han Koh
23 papers receiving 666 citations
Peers
Comparison fields: 5 of 46
- Computer Science Applications 637
- Developmental and Educational Psychology 391
- Artificial Intelligence 130
- Information Systems 109
- Education 79
Countries citing papers authored by Kyu Han Koh
This map shows the geographic impact of Kyu Han Koh'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 Kyu Han Koh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyu Han Koh more than expected).
Fields of papers citing papers by Kyu Han Koh
This network shows the impact of papers produced by Kyu Han Koh. 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 Kyu Han Koh. The network helps show where Kyu Han Koh may publish in the future.
Co-authorship network of co-authors of Kyu Han Koh
This figure shows the co-authorship network connecting the top 25 collaborators of Kyu Han Koh. A scholar is included among the top collaborators of Kyu Han Koh 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 Kyu Han Koh. Kyu Han Koh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 15 | |
| 3 | 4 | |
| 4 | Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis. | 5 |
| 5 | 125 | |
| 6 | 16 | |
| 7 | 25 | |
| 8 | 11 | |
| 9 | 59 | |
| 10 | 15 | |
| 11 | 53 | |
| 12 | Computational Thinking Patterns. | 42 |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 16 | |
| 16 | 96 | |
| 17 | 62 | |
| 18 | 77 | |
| 19 | 3 | |
| 20 | 11 |
About Kyu Han Koh
Kyu Han Koh is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Media Technology, having authored 23 papers that have together received 715 indexed citations. Recurring topics across this work include Teaching and Learning Programming (20 papers), Educational Games and Gamification (13 papers) and Evolutionary Algorithms and Applications (6 papers). The work is most often cited by research in Computer Science Applications (637 citations), Developmental and Educational Psychology (391 citations) and Software (69 citations). Kyu Han Koh has collaborated with scholars based in United States, Egypt and South Korea. Frequent co-authors include Alexander Repenning, Ashok Basawapatna, David C. Webb, Hilarie Nickerson, Vicki Bennett, Clifford A. Shaffer, Susan Miller, Kris D. Gutiérrez, Andri Ioannidou and Jeremy V. Ernst. Their work appears in journals such as Journal of Educational Computing Research, ACM Transactions on Computing Education and Journal of Data and Information Quality.
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.