Kinshuk
Impact in
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- Online Learning and Analytics
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- Innovative Teaching and Learning Methods
- Learning Styles and Cognitive Differences
- Educational Games and Gamification
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 9
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- Online Learning and Analytics 10
- Open Education and E-Learning 3
- Co-authors
- Sabine Graf (9 shared papers)Tommaso Leo (1 shared paper)Tzu‐Chien Liu (2 shared papers)Nian‐Shing Chen (2 shared papers)Pierre Dillenbourg (2 shared papers)Jeremy Roschelle (2 shared papers)Marcelo Milrad (2 shared papers)Nicolas Balacheff (2 shared papers)
- Journals
- Research and Practice in Technology Enhanced Learning (3 papers)Computers in Human Behavior (1 paper)Journal of Research on Technology in Education (1 paper)Lecture notes in educational technology (4 papers)Lecture notes in computer science (3 papers)
- Partner nations
- CanadaNew ZealandTaiwan
In The Last Decade
Kinshuk
30 papers receiving 855 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 350
- Developmental and Educational Psychology 483
- Information Systems 489
- Education 331
- Artificial Intelligence 165
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 400 | |
| 2 | 2007 | 210 | |
| 3 | 2009 | 108 | |
| 4 | 2008 | 32 | |
| 5 | 2009 | 29 | |
| 6 | 2014 | 27 | |
| 7 | 2010 | 22 | |
| 8 | 2012 | 19 | |
| 9 | 2004 | 18 | |
| 10 | 2014 | 13 | |
| 11 | 2014 | 12 | |
| 12 | 2004 | 10 | |
| 13 | 2014 | 10 | |
| 14 | 2007 | 8 | |
| 15 | 2009 | 7 | |
| 16 | 2014 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2008 | 5 | |
| 20 | 2008 | 5 |
About Kinshuk
Kinshuk is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Information Systems and Education, having authored 32 papers that have together received 967 indexed citations. Recurring topics across this work include Online Learning and Analytics (10 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers), Innovative Teaching and Learning Methods (7 papers), Mobile Learning in Education (5 papers), Learning Styles and Cognitive Differences (4 papers), Online and Blended Learning (3 papers), Multimedia Communication and Technology (3 papers) and Open Education and E-Learning (3 papers). The work is most often cited by research in Computer Science Applications (350 citations), Developmental and Educational Psychology (483 citations), Information Systems (489 citations), Education (331 citations) and Artificial Intelligence (165 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, Pierre Dillenbourg, Jeremy Roschelle, Marcelo Milrad, Nicolas Balacheff, Charles Patton and Ulrich Hoppe. Their work appears in journals such as Research and Practice in Technology Enhanced Learning, Computers in Human Behavior, Journal of Research on Technology in Education, Lecture notes in educational technology and Lecture notes in computer science.
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.