Lisa-Angelique Lim
- Computer Science Applications top 1%
- Education top 5%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Dragan GaševićShane DawsonSheridan GentiliAbelardo PardoAnthea FudgeSrécko JoksimovícWannisa MatchaNora’ayu Ahmad Uzir
- Topics
- Online Learning and Analytics (19 papers)Online and Blended Learning (9 papers)Innovative Teaching and Learning Methods (6 papers)
- Journals
- Learning and InstructionEducational Technology Research and DevelopmentAssessment & Evaluation in Higher Education
- Partner nations
- AustraliaUnited KingdomMalaysia
In The Last Decade
Lisa-Angelique Lim
26 papers receiving 489 citations
Peers
Comparison fields: 5 of 55
- Computer Science Applications 310
- Education 251
- Developmental and Educational Psychology 172
- Artificial Intelligence 76
- Information Systems 49
Countries citing papers authored by Lisa-Angelique Lim
This map shows the geographic impact of Lisa-Angelique Lim'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 Lisa-Angelique Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa-Angelique Lim more than expected).
Fields of papers citing papers by Lisa-Angelique Lim
This network shows the impact of papers produced by Lisa-Angelique Lim. 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 Lisa-Angelique Lim. The network helps show where Lisa-Angelique Lim may publish in the future.
Co-authorship network of co-authors of Lisa-Angelique Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa-Angelique Lim. A scholar is included among the top collaborators of Lisa-Angelique Lim 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 Lisa-Angelique Lim. Lisa-Angelique Lim 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 25 | |
| 15 | 36 | |
| 16 | 44 | |
| 17 | 1 | |
| 18 | Innovating methodology through international collaboration: Expanding the use of video analysis for understanding Learning designs | 2 |
| 19 | 47 | |
| 20 | 3 |
About Lisa-Angelique Lim
Lisa-Angelique Lim is a scholar working on Computer Science Applications, Education and Developmental and Educational Psychology, having authored 29 papers that have together received 502 indexed citations. Recurring topics across this work include Online Learning and Analytics (19 papers), Online and Blended Learning (9 papers) and Innovative Teaching and Learning Methods (6 papers). The work is most often cited by research in Computer Science Applications (310 citations), Developmental and Educational Psychology (172 citations) and Health Informatics (13 citations). Lisa-Angelique Lim has collaborated with scholars based in Australia, United Kingdom and Malaysia. Frequent co-authors include Dragan Gašević, Shane Dawson, Sheridan Gentili, Abelardo Pardo, Anthea Fudge, Srécko Joksimovíc, Wannisa Matcha, Nora’ayu Ahmad Uzir, Jelena Jovanović and Negin Mirriahi. Their work appears in journals such as Learning and Instruction, Educational Technology Research and Development and Assessment & Evaluation in Higher Education.
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.