Tri Lam
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
- Education top 5%
- Online and Blended Learning
- Technology-Enhanced Education Studies
- Education and Critical Thinking Development
- Innovative Teaching Methods
- Educational Curriculum and Learning Methods
- Educational Assessment and Pedagogy
Papers in
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- Online and Blended Learning 3
- Educational Assessment and Pedagogy 3
- Higher Education Learning Practices 2
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- Food Supply Chain Traceability 4
- Food Safety and Hygiene 3
- Food Waste Reduction and Sustainability 2
- Co-authors
- Mathews Nkhoma (8 shared papers)Joan Richardson (6 shared papers)Kwok Hung Lau (5 shared papers)Booi Kam (5 shared papers)Susan Thomas (2 shared papers)Nicole Hartley (4 shared papers)Jon Heales (4 shared papers)Narumon Sriratanaviriyakul (2 shared papers)
In The Last Decade
Tri Lam
13 papers receiving 315 citations
Peers
Comparison fields: 5 of 70
- Computer Science Applications 47
- Education 185
- Information Systems 79
- Information Systems and Management 23
- Developmental and Educational Psychology 31
Countries citing papers authored by Tri Lam
This map shows the geographic impact of Tri Lam'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 Tri Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tri Lam more than expected).
Fields of papers citing papers by Tri Lam
This network shows the impact of papers produced by Tri Lam. 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 Tri Lam. The network helps show where Tri Lam may publish in the future.
Co-authors
The 9 scholars most cited alongside Tri Lam, 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 | 2017 | 120 | |
| 2 | 2017 | 48 | |
| 3 | 2015 | 35 | |
| 4 | 2020 | 32 | |
| 5 | 2019 | 22 | |
| 6 | 2014 | 21 | |
| 7 | 2016 | 17 | |
| 8 | 2018 | 14 | |
| 9 | 2023 | 10 | |
| 10 | 2025 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2024 | 2 | |
| 13 | Exploring Linkages between Consumer Trust and E-SCM in Food Safety: A Case of Taiwanese Enterprises | 2014 | 1 |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 |
About Tri Lam
Tri Lam is a scholar working on Education, Food Science, Computer Science Applications, Sociology and Political Science and Information Systems and Management, having authored 15 papers that have together received 335 indexed citations. Recurring topics across this work include Food Supply Chain Traceability (4 papers), Online and Blended Learning (3 papers), Educational Assessment and Pedagogy (3 papers), Food Safety and Hygiene (3 papers), Higher Education Learning Practices (2 papers), Management and Marketing Education (2 papers), Food Waste Reduction and Sustainability (2 papers) and Open Education and E-Learning (2 papers). The work is most often cited by research in Computer Science Applications (47 citations), Education (185 citations), Information Systems (79 citations), Information Systems and Management (23 citations) and Developmental and Educational Psychology (31 citations). Tri Lam has collaborated with scholars based in Vietnam, Australia and Taiwan. Frequent co-authors include Mathews Nkhoma, Joan Richardson, Kwok Hung Lau, Booi Kam, Susan Thomas, Nicole Hartley, Jon Heales, Narumon Sriratanaviriyakul and Jamal El‐Den. Their work appears in journals such as Education + Training, Aslib Journal of Information Management, Journal of Computer Information Systems, Active Learning in Higher Education and Computers & 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.