Kam Star
Impact in
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- Emotion and Mood Recognition
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- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Educational Games and Gamification 9
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- Digital Games and Media 3
- Co-authors
- Jie Shen (1 shared paper)Elnar Hajiyev (1 shared paper)Robert Walecki (1 shared paper)Vedhas Pandit (1 shared paper)Maximilian Schmitt (1 shared paper)Fabien Ringeval (1 shared paper)Antoine Toisoul (1 shared paper)Jean Kossaifi (1 shared paper)
- Journals
- IEEE Computational Intelligence Magazine (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)International Journal of Game-Based Learning (1 paper)Information (1 paper)Pure (Coventry University) (1 paper)
- Partner nations
- United KingdomGreeceBelgium
In The Last Decade
Kam Star
14 papers receiving 220 citations
Peers
Comparison fields: 5 of 52
- Experimental and Cognitive Psychology 126
- Signal Processing 40
- Computer Science Applications 19
- Computer Vision and Pattern Recognition 63
- Human-Computer Interaction 16
Countries citing papers authored by Kam Star
This map shows the geographic impact of Kam Star'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 Kam Star with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kam Star more than expected).
Fields of papers citing papers by Kam Star
This network shows the impact of papers produced by Kam Star. 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 Kam Star. The network helps show where Kam Star may publish in the future.
Co-authors
The 25 scholars most cited alongside Kam Star, 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 | 2019 | 160 | |
| 2 | 2017 | 17 | |
| 3 | 2013 | 15 | |
| 4 | 2018 | 14 | |
| 5 | 2023 | 4 | |
| 6 | 2011 | 4 | |
| 7 | 2016 | 3 | |
| 8 | Towards Social Media Platform Integration with an Applied Gaming Ecosystem | 2015 | 3 |
| 9 | Creating opportunities to learn social skills at school using digital games | 2016 | 3 |
| 10 | 2015 | 2 | |
| 11 | 2014 | 1 | |
| 12 | D3.5 – First Storytelling Framework | 2016 | 1 |
| 13 | D2.1 2nd User requirements for gamification of prosocial learning | 2016 | 1 |
| 14 | ProsocialLearn: D2.5 evaluation strategy and protocols | 2015 | 1 |
About Kam Star
Kam Star is a scholar working on Developmental and Educational Psychology, Sociology and Political Science, Artificial Intelligence, Education and Management Information Systems, having authored 14 papers that have together received 229 indexed citations. Recurring topics across this work include Educational Games and Gamification (9 papers), Artificial Intelligence in Games (3 papers), Digital Games and Media (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Higher Education and Employability (2 papers), Color perception and design (1 paper), Cloud Computing and Resource Management (1 paper) and Innovative Education and Learning Practices (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (126 citations), Signal Processing (40 citations), Computer Science Applications (19 citations), Computer Vision and Pattern Recognition (63 citations) and Human-Computer Interaction (16 citations). Kam Star has collaborated with scholars based in United Kingdom, Greece and Belgium. Frequent co-authors include Jie Shen, Elnar Hajiyev, Robert Walecki, Vedhas Pandit, Maximilian Schmitt, Fabien Ringeval, Antoine Toisoul, Jean Kossaifi, Jing Han and Yannis Panagakis. Their work appears in journals such as IEEE Computational Intelligence Magazine, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Game-Based Learning, Information and Pure (Coventry University).
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.