Kinshuk
Impact in
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- Online Learning and Analytics
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- Learning Styles and Cognitive Differences
- Innovative Teaching and Learning Methods
- Educational Games and Gamification
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 5
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- Mobile Learning in Education 4
- ICT in Developing Communities 2
- Co-authors
- Sabine Graf (6 shared papers)Tommaso Leo (1 shared paper)Tzu‐Chien Liu (2 shared papers)Nian‐Shing Chen (2 shared papers)Stephen J.H. Yang (1 shared paper)Pierre Dillenbourg (2 shared papers)Sherry Hsi (2 shared papers)Marlene Scardamalia (2 shared papers)
- Journals
- Research and Practice in Technology Enhanced Learning (3 papers)Journal of Research on Technology in Education (1 paper)Computers in Human Behavior (1 paper)
- Partner nations
- CanadaNew ZealandTaiwan
In The Last Decade
Kinshuk
20 papers receiving 603 citations
Peers
Comparison fields: 5 of 66
- Computer Science Applications 231
- Developmental and Educational Psychology 370
- Information Systems 326
- Education 254
- Human-Computer Interaction 19
Countries citing papers authored by Kinshuk
This map shows the geographic impact of Kinshuk'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 Kinshuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinshuk more than expected).
Fields of papers citing papers by Kinshuk
This network shows the impact of papers produced by Kinshuk. 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 Kinshuk. The network helps show where Kinshuk may publish in the future.
Co-authors
The 25 scholars most cited alongside Kinshuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 297 | |
| 2 | 2007 | 185 | |
| 3 | 2009 | 90 | |
| 4 | 2009 | 21 | |
| 5 | 2012 | 19 | |
| 6 | 2010 | 18 | |
| 7 | 2004 | 14 | |
| 8 | 2014 | 9 | |
| 9 | 2004 | 9 | |
| 10 | 2009 | 7 | |
| 11 | 2008 | 4 | |
| 12 | 2014 | 4 | |
| 13 | 2013 | 2 | |
| 14 | 2004 | 2 | |
| 15 | 2013 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2007 | 1 | |
| 18 | 2004 | 1 | |
| 19 | 2005 | 1 | |
| 20 | 2003 | 1 |
About Kinshuk
Kinshuk is a scholar working on Artificial Intelligence, Information Systems, Developmental and Educational Psychology, Computer Science Applications and Sociology and Political Science, having authored 23 papers that have together received 690 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Innovative Teaching and Learning Methods (4 papers), Mobile Learning in Education (4 papers), Learning Styles and Cognitive Differences (4 papers), Online Learning and Analytics (3 papers), Multimedia Communication and Technology (3 papers), Open Education and E-Learning (3 papers) and ICT in Developing Communities (2 papers). The work is most often cited by research in Computer Science Applications (231 citations), Developmental and Educational Psychology (370 citations), Information Systems (326 citations), Education (254 citations) and Human-Computer Interaction (19 citations). Kinshuk has collaborated with scholars based in Canada, New Zealand and Taiwan. Frequent co-authors include Sabine Graf, Tommaso Leo, Tzu‐Chien Liu, Nian‐Shing Chen, Stephen J.H. Yang, Pierre Dillenbourg, Sherry Hsi, Marlene Scardamalia, Marcelo Milrad and Nicolas Balacheff. Their work appears in journals such as Research and Practice in Technology Enhanced Learning, Journal of Research on Technology in Education and Computers in Human Behavior.
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.