Ken Holstein
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
- E-Learning and Knowledge Management
Papers in
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- Qualitative Comparative Analysis Research 1
- Disaster Management and Resilience 1
- Digital Economy and Work Transformation 1
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- Employment and Welfare Studies 1
- Homelessness and Social Issues 1
- Co-authors
- Kenneth R. Koedinger (1 shared paper)Kaśka Porayska‐Pomsta (1 shared paper)Olga C. Santos (1 shared paper)Ma. Mercedes T. Rodrigo (1 shared paper)Simon Buckingham Shum (1 shared paper)W. Holmes (1 shared paper)Ig Ibert Bittencourt (1 shared paper)Mutlu Cukurova (1 shared paper)
- Journals
- International Journal of Artificial Intelligence in Education (1 paper)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Ken Holstein
4 papers receiving 424 citations
Ken Holstein's Hit Papers
Peers
Comparison fields: 5 of 68
- Health Informatics 114
- Computer Science Applications 182
- Safety Research 133
- Artificial Intelligence 154
- Information Systems 80
Countries citing papers authored by Ken Holstein
This map shows the geographic impact of Ken Holstein'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 Ken Holstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Holstein more than expected).
Fields of papers citing papers by Ken Holstein
This network shows the impact of papers produced by Ken Holstein. 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 Ken Holstein. The network helps show where Ken Holstein may publish in the future.
Co-authors
The 14 scholars most cited alongside Ken Holstein, 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 | Ethics of AI in Education: Towards a Community-Wide Framework Hit paper breakdown → | 2021 | 405 |
| 2 | 2022 | 42 | |
| 3 | 2023 | 12 | |
| 4 | 2024 | 1 |
About Ken Holstein
Ken Holstein is a scholar working on Sociology and Political Science, General Health Professions, Artificial Intelligence, Safety Research and Computer Science Applications, having authored 4 papers that have together received 460 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (2 papers), Qualitative Comparative Analysis Research (1 paper), Online Learning and Analytics (1 paper), Employment and Welfare Studies (1 paper), Disaster Management and Resilience (1 paper), Adversarial Robustness in Machine Learning (1 paper), Homelessness and Social Issues (1 paper) and Digital Economy and Work Transformation (1 paper). The work is most often cited by research in Health Informatics (114 citations), Computer Science Applications (182 citations), Safety Research (133 citations), Artificial Intelligence (154 citations) and Information Systems (80 citations). Ken Holstein has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Kenneth R. Koedinger, Kaśka Porayska‐Pomsta, Olga C. Santos, Ma. Mercedes T. Rodrigo, Simon Buckingham Shum, W. Holmes, Ig Ibert Bittencourt, Mutlu Cukurova, Haiyi Zhu and Logan Stapleton. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Proceedings of the AAAI/ACM Conference on AI Ethics and Society and arXiv (Cornell University).
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.