Kai Orton
Impact in
- Computer Science Applications top 0.2%
- Teaching and Learning Programming
- Online Learning and Analytics
- Aging top 2%
Papers in
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- ATP Synthase and ATPases Research 2
- Heat shock proteins research 2
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- Teaching and Learning Programming 3
- Co-authors
- David Weintrop (3 shared papers)Uri Wilensky (3 shared papers)Elham Hosseini‐Beheshti (2 shared papers)Michael Horn (2 shared papers)Kemi Jona (2 shared papers)Laura Trouille (1 shared paper)Richard I. Morimoto (3 shared papers)Sandy D. Westerheide (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Science Education and Technology (1 paper)IEEE Transactions on Education (1 paper)Cell Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Kai Orton
6 papers receiving 1.6k citations
Kai Orton's Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Science Applications 911
- Aging 90
- Developmental and Educational Psychology 462
- Media Technology 150
- Cell Biology 223
Countries citing papers authored by Kai Orton
This map shows the geographic impact of Kai Orton'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 Kai Orton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Orton more than expected).
Fields of papers citing papers by Kai Orton
This network shows the impact of papers produced by Kai Orton. 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 Kai Orton. The network helps show where Kai Orton may publish in the future.
Co-authors
The 20 scholars most cited alongside Kai Orton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Defining Computational Thinking for Mathematics and Science Classrooms Hit paper breakdown → | 2015 | 971 |
| 2 | 2014 | 418 | |
| 3 | 2006 | 195 | |
| 4 | 2016 | 47 | |
| 5 | 2016 | 28 | |
| 6 | 2006 | 1 |
About Kai Orton
Kai Orton is a scholar working on Molecular Biology, Computer Science Applications, Architecture, Media Technology and Complementary and alternative medicine, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Teaching and Learning Programming (3 papers), Experimental Learning in Engineering (2 papers), Engineering Education and Pedagogy (2 papers), Natural Compounds in Disease Treatment (2 papers), ATP Synthase and ATPases Research (2 papers), Heat shock proteins research (2 papers), Innovative Human-Technology Interaction (1 paper) and Biomedical and Engineering Education (1 paper). The work is most often cited by research in Computer Science Applications (911 citations), Aging (90 citations), Developmental and Educational Psychology (462 citations), Media Technology (150 citations) and Cell Biology (223 citations). Kai Orton has collaborated with scholars based in United States. Frequent co-authors include David Weintrop, Uri Wilensky, Elham Hosseini‐Beheshti, Michael Horn, Kemi Jona, Laura Trouille, Richard I. Morimoto, Sandy D. Westerheide, Tiara L.A. Kawahara and Adriana Villella. Their work appears in journals such as Journal of Biological Chemistry, Journal of Science Education and Technology, IEEE Transactions on Education and Cell Reports.
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.