Wannisa Matcha
- Computer Science Applications top 0.5%
- Education top 2%
- Developmental and Educational Psychology top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Nora’ayu Ahmad UzirDragan GaševićAbelardo PardoDayang Rohaya Awang RambliJelena JovanovićSuziah SulaimanLisa-Angelique LimYizhou Fan
- Topics
- Online Learning and Analytics (12 papers)Innovative Teaching and Learning Methods (10 papers)Augmented Reality Applications (7 papers)
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyHuman-Computer Interaction
In The Last Decade
Wannisa Matcha
21 papers receiving 860 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Science Applications 536
- Education 385
- Developmental and Educational Psychology 345
- Information Systems 147
- Computer Vision and Pattern Recognition 135
Countries citing papers authored by Wannisa Matcha
This map shows the geographic impact of Wannisa Matcha'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 Wannisa Matcha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wannisa Matcha more than expected).
Fields of papers citing papers by Wannisa Matcha
This network shows the impact of papers produced by Wannisa Matcha. 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 Wannisa Matcha. The network helps show where Wannisa Matcha may publish in the future.
Co-authorship network of co-authors of Wannisa Matcha
This figure shows the co-authorship network connecting the top 25 collaborators of Wannisa Matcha. A scholar is included among the top collaborators of Wannisa Matcha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wannisa Matcha. Wannisa Matcha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 62 | |
| 9 | 25 | |
| 10 | 54 | |
| 11 | 44 | |
| 12 | 27 | |
| 13 | 92 | |
| 14 | 91 | |
| 15 | 45 | |
| 16 | 98 | |
| 17 | 10 | |
| 18 | 19 | |
| 19 | 7 | |
| 20 | 1 |
About Wannisa Matcha
Wannisa Matcha is a scholar working on Computer Science Applications, Human-Computer Interaction and Developmental and Educational Psychology, having authored 23 papers that have together received 881 indexed citations. Recurring topics across this work include Online Learning and Analytics (12 papers), Innovative Teaching and Learning Methods (10 papers) and Augmented Reality Applications (7 papers). The work is most often cited by research in Computer Science Applications (536 citations), Developmental and Educational Psychology (345 citations) and Human-Computer Interaction (77 citations). Wannisa Matcha has collaborated with scholars based in Malaysia, Australia and Thailand. Frequent co-authors include Nora’ayu Ahmad Uzir, Dragan Gašević, Abelardo Pardo, Dayang Rohaya Awang Rambli, Jelena Jovanović, Suziah Sulaiman, Lisa-Angelique Lim, Yizhou Fan, Qiong Wang and Saint John. Their work appears in journals such as Journal of Computer Assisted Learning, Australasian Journal of Educational Technology and IEEE Transactions on Learning Technologies.
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.