Thomas Corbin
Impact in
- Industrial relations top 10%
- Safety Research top 5%
- Academic integrity and plagiarism
- Ethics and Social Impacts of AI
Papers in
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- Artificial Intelligence in Education 10
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- Academic integrity and plagiarism 3
- Co-authors
- Jean‐Philippe Deranty (3 shared papers)Phillip Dawson (4 shared papers)Danny Liu (1 shared paper)Kelli Nicola‐Richmond (1 shared paper)Helen Partridge (1 shared paper)Joanna Tai (1 shared paper)Margaret Bearman (5 shared papers)David J. Boud (1 shared paper)
In The Last Decade
Thomas Corbin
12 papers receiving 230 citations
Thomas Corbin's Hit Papers
Peers
Comparison fields: 5 of 44
- Industrial relations 7
- Safety Research 62
- Information Systems 119
- Health Informatics 10
- Education 66
Countries citing papers authored by Thomas Corbin
This map shows the geographic impact of Thomas Corbin'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 Thomas Corbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Corbin more than expected).
Fields of papers citing papers by Thomas Corbin
This network shows the impact of papers produced by Thomas Corbin. 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 Thomas Corbin. The network helps show where Thomas Corbin may publish in the future.
Co-authors
The 24 scholars most cited alongside Thomas Corbin, 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 | 2022 | 69 | |
| 2 | ‘Where’s the line? It’s an absurd line’: towards a framework for acceptable uses of AI in assessment Hit paper breakdown → | 2025 | 42 |
| 3 | Talk is cheap: why structural assessment changes are needed for a time of GenAI Hit paper breakdown → | 2025 | 41 |
| 4 | The wicked problem of AI and assessment Hit paper breakdown → | 2025 | 27 |
| 5 | Understanding the place and value of GenAI feedback: a recognition-based framework Hit paper breakdown → | 2025 | 27 |
| 6 | 2024 | 10 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 4 | |
| 10 | 2026 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2026 | 0 | |
| 17 | 2026 | 0 |
About Thomas Corbin
Thomas Corbin is a scholar working on Information Systems, Safety Research, Education, Philosophy and Human Factors and Ergonomics, having authored 17 papers that have together received 240 indexed citations. Recurring topics across this work include Artificial Intelligence in Education (10 papers), Academic integrity and plagiarism (3 papers), Student Assessment and Feedback (3 papers), Geographies of human-animal interactions (1 paper), Critical Theory and Philosophy (1 paper), Job Satisfaction and Organizational Behavior (1 paper), Sound Studies and Aurality (1 paper) and Legal Issues in Education (1 paper). The work is most often cited by research in Industrial relations (7 citations), Safety Research (62 citations), Information Systems (119 citations), Health Informatics (10 citations) and Education (66 citations). Thomas Corbin has collaborated with scholars based in Australia and Spain. Frequent co-authors include Jean‐Philippe Deranty, Phillip Dawson, Danny Liu, Kelli Nicola‐Richmond, Helen Partridge, Joanna Tai, Margaret Bearman, David J. Boud, Antonette Shibani and Aneesha Bakharia. Their work appears in journals such as Assessment & Evaluation in Higher Education, Higher Education Research & Development, Educational Philosophy and Theory, Philosophy of Management and 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.