Ad Aerts
Impact in
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- Open Education and E-Learning
- Online Learning and Analytics
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- Learning Styles and Cognitive Differences
- Innovative Teaching and Learning Methods
Papers in
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- Semantic Web and Ontologies 4
- Intelligent Tutoring Systems and Adaptive Learning 3
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- Recommender Systems and Techniques 3
- Co-authors
- Paul De Bra (6 shared papers)Natalia Stash (4 shared papers)David Smits (4 shared papers)Flavius Frăsincar (1 shared paper)Péter Barna (1 shared paper)Geert‐Jan Houben (1 shared paper)Philippe Thiran (1 shared paper)
- Journals
- E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (2 papers)VUBIR (Vrije Universiteit Brussel) (1 paper)TU/e Research Portal (Eindhoven University of Technology) (1 paper)TU/e Research Portal (2 papers)
- Partner nations
- Netherlands
In The Last Decade
Ad Aerts
7 papers receiving 246 citations
Peers
Comparison fields: 5 of 44
- Computer Science Applications 132
- Developmental and Educational Psychology 105
- Information Systems 124
- Artificial Intelligence 152
- Human-Computer Interaction 25
Countries citing papers authored by Ad Aerts
This map shows the geographic impact of Ad Aerts'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 Ad Aerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ad Aerts more than expected).
Fields of papers citing papers by Ad Aerts
This network shows the impact of papers produced by Ad Aerts. 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 Ad Aerts. The network helps show where Ad Aerts may publish in the future.
Co-authors
The 7 scholars most cited alongside Ad Aerts, 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 | 2003 | 196 | |
| 2 | AHA! Version 2.0, More adaptation flexibility for authors | 2002 | 62 |
| 3 | Concept Relationship Types for AHA! 2.0 | 2002 | 15 |
| 4 | 2003 | 10 | |
| 5 | 2002 | 10 | |
| 6 | 2003 | 8 | |
| 7 | Navigation Design Support Using Reusable Navigation Templates. | 2005 | 2 |
About Ad Aerts
Ad Aerts is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 7 papers that have together received 303 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (4 papers), Open Education and E-Learning (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Recommender Systems and Techniques (3 papers), Video Analysis and Summarization (2 papers), Multimedia Communication and Technology (1 paper), Data Management and Algorithms (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Computer Science Applications (132 citations), Developmental and Educational Psychology (105 citations), Information Systems (124 citations), Artificial Intelligence (152 citations) and Human-Computer Interaction (25 citations). Ad Aerts has collaborated with scholars based in Netherlands. Frequent co-authors include Paul De Bra, Natalia Stash, David Smits, Flavius Frăsincar, Péter Barna, Geert‐Jan Houben and Philippe Thiran. Their work appears in journals such as E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, VUBIR (Vrije Universiteit Brussel), TU/e Research Portal (Eindhoven University of Technology) and TU/e Research Portal.
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.