Kenneth Holstein
- Health Informatics top 1%
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- Online Learning and Analytics 11
- Mobile Crowdsensing and Crowdsourcing 6
- Open Source Software Innovations 4
- Safety Research top 2%
- Ethics and Social Impacts of AI 25
- Human-Computer Interaction top 5%
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- Innovative Teaching and Learning Methods 5
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- Explainable Artificial Intelligence (XAI) 13
- Intelligent Tutoring Systems and Adaptive Learning 9
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- Software Engineering Research 3
- Co-authors
- Vincent AlevenBruce M. McLarenHaiyi ZhuZhiwei Steven WuAdam PererMotahhare EslamiHao-Fei ChengVenkatesh Sivaraman
- Journals
- Proceedings of the ACM on Human-Computer Interaction (6 papers)Cognitive Science (2 papers)Journal of Learning Analytics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Kenneth Holstein
49 papers receiving 828 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 92
- Computer Science Applications 343
- Safety Research 260
- Human-Computer Interaction 71
- Developmental and Educational Psychology 156
Countries citing papers authored by Kenneth Holstein
This map shows the geographic impact of Kenneth 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 Kenneth Holstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Holstein more than expected).
Fields of papers citing papers by Kenneth Holstein
This network shows the impact of papers produced by Kenneth 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 Kenneth Holstein. The network helps show where Kenneth Holstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 19 | |
| 13 | 2023 | 31 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 13 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 1 | |
| 20 | Sequence Matters but How Exactly? A Method for Evaluating Activity Sequences from Data. | 2016 | 8 |
About Kenneth Holstein
Kenneth Holstein is a scholar working on Computer Science Applications, Safety Research and Health Informatics, having authored 54 papers that have together received 848 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (25 papers), Explainable Artificial Intelligence (XAI) (13 papers), Online Learning and Analytics (11 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Innovative Teaching and Learning Methods (5 papers), Open Source Software Innovations (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Health Informatics (92 citations), Computer Science Applications (343 citations) and Safety Research (260 citations). Kenneth Holstein has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Vincent Aleven, Bruce M. McLaren, Haiyi Zhu, Zhiwei Steven Wu, Adam Perer, Motahhare Eslami, Hao-Fei Cheng, Venkatesh Sivaraman, Logan Stapleton and Hong Shen. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Cognitive Science, Journal of Learning Analytics, International Journal of Human-Computer Interaction and AI Magazine.
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.