Michael Liut
- Health Informatics top 10%
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- Online Learning and Analytics 14
- Teaching and Learning Programming 14
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- Academic integrity and plagiarism 3
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- Innovative Teaching and Learning Methods 9
- Educational Games and Gamification 5
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- Topic Modeling 6
- Intelligent Tutoring Systems and Adaptive Learning 5
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- Perfectionism, Procrastination, Anxiety Studies 4
- Co-authors
- Andrew PetersenOscar KarnalimAli RazaAnna LyJoseph Jay WilliamsJack ParkinsonFurkan AlacaQuintin Cutts
- Journals
- Complex & Intelligent Systems (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)ACM SIGMOD Record (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Michael Liut
34 papers receiving 214 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 17
- Computer Science Applications 63
- Software 10
- Safety Research 21
- Developmental and Educational Psychology 26
Countries citing papers authored by Michael Liut
This map shows the geographic impact of Michael Liut'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 Michael Liut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Liut more than expected).
Fields of papers citing papers by Michael Liut
This network shows the impact of papers produced by Michael Liut. 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 Michael Liut. The network helps show where Michael Liut may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Liut, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 16 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 30 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | Algorithms to Compute the Lyndon Array Revisited. | 2019 | 0 |
About Michael Liut
Michael Liut is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Health Informatics, having authored 48 papers that have together received 220 indexed citations. Recurring topics across this work include Online Learning and Analytics (14 papers), Teaching and Learning Programming (14 papers), Innovative Teaching and Learning Methods (9 papers), Topic Modeling (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Educational Games and Gamification (5 papers), Perfectionism, Procrastination, Anxiety Studies (4 papers) and Academic integrity and plagiarism (3 papers). The work is most often cited by research in Health Informatics (17 citations), Computer Science Applications (63 citations) and Software (10 citations). Michael Liut has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Andrew Petersen, Oscar Karnalim, Ali Raza, Anna Ly, Joseph Jay Williams, Jack Parkinson, Furkan Alaca, Quintin Cutts, Bogdan Simion and Judy Sheard. Their work appears in journals such as Complex & Intelligent Systems, Proceedings of the ACM on Human-Computer Interaction, ACM SIGMOD Record, ACM Inroads and PubMed.
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.