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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- Heat shock proteins research 3
- ATP Synthase and ATPases Research 2
- Protein Structure and Dynamics 1
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- Teaching and Learning Programming 4
- Co-authors
- Uri Wilensky (4 shared papers)David Weintrop (4 shared papers)Michael Horn (3 shared papers)Kemi Jona (3 shared papers)Elham Hosseini‐Beheshti (3 shared papers)Laura Trouille (2 shared papers)Richard I. Morimoto (4 shared papers)Tiara L.A. Kawahara (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Science Education and Technology (1 paper)Cell Reports (1 paper)IEEE Transactions on Education (1 paper)Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Kai Orton
8 papers receiving 1.9k citations
Kai Orton's Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Science Applications 1.2k
- Aging 94
- Developmental and Educational Psychology 576
- Media Technology 189
- Cell Biology 230
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 | 1162 |
| 2 | 2014 | 439 | |
| 3 | 2006 | 211 | |
| 4 | 2016 | 83 | |
| 5 | 2014 | 52 | |
| 6 | 2016 | 32 | |
| 7 | 2007 | 7 | |
| 8 | 2006 | 1 |
About Kai Orton
Kai Orton is a scholar working on Molecular Biology, Computer Science Applications, Media Technology, Architecture and Complementary and alternative medicine, having authored 8 papers that have together received 2.0k indexed citations. Recurring topics across this work include Teaching and Learning Programming (4 papers), Experimental Learning in Engineering (3 papers), Heat shock proteins research (3 papers), Natural Compounds in Disease Treatment (2 papers), ATP Synthase and ATPases Research (2 papers), Engineering Education and Pedagogy (2 papers), Biomedical and Engineering Education (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Computer Science Applications (1.2k citations), Aging (94 citations), Developmental and Educational Psychology (576 citations), Media Technology (189 citations) and Cell Biology (230 citations). Kai Orton has collaborated with scholars based in United States. Frequent co-authors include Uri Wilensky, David Weintrop, Michael Horn, Kemi Jona, Elham Hosseini‐Beheshti, Laura Trouille, Richard I. Morimoto, Tiara L.A. Kawahara, Sandy D. Westerheide and Cindy Voisine. Their work appears in journals such as Journal of Biological Chemistry, Journal of Science Education and Technology, Cell Reports, IEEE Transactions on Education and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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.