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 6
- Intelligent Tutoring Systems and Adaptive Learning 4
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- Recommender Systems and Techniques 4
- Co-authors
- Paul De Bra (8 shared papers)David Smits (5 shared papers)Natalia Stash (5 shared papers)Geert‐Jan Houben (3 shared papers)Heiner Stuckenschmidt (1 shared paper)Richard Vdovjak (1 shared paper)Philippe Thiran (1 shared paper)Péter Barna (1 shared paper)
- Journals
- Lecture notes in computer science (3 papers)VUBIR (Vrije Universiteit Brussel) (1 paper)TU/e Research Portal (2 papers)E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (2 papers)TU/e Research Portal (Eindhoven University of Technology) (2 papers)
- Partner nations
- NetherlandsGermany
In The Last Decade
Ad Aerts
10 papers receiving 374 citations
Peers
Comparison fields: 5 of 47
- Computer Science Applications 194
- Developmental and Educational Psychology 156
- Information Systems 188
- Artificial Intelligence 228
- Human-Computer Interaction 36
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 9 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 | 260 | |
| 2 | AHA! Version 2.0, More adaptation flexibility for authors | 2002 | 81 |
| 3 | 2000 | 23 | |
| 4 | Concept Relationship Types for AHA! 2.0 | 2002 | 22 |
| 5 | 2002 | 18 | |
| 6 | 2003 | 12 | |
| 7 | 2003 | 12 | |
| 8 | 2002 | 11 | |
| 9 | 2006 | 5 | |
| 10 | Navigation Design Support Using Reusable Navigation Templates. | 2005 | 2 |
| 11 | 2020 | 0 |
About Ad Aerts
Ad Aerts is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Computer Networks and Communications and Sociology and Political Science, having authored 11 papers that have together received 446 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Recommender Systems and Techniques (4 papers), Open Education and E-Learning (3 papers), Multimedia Communication and Technology (2 papers), Video Analysis and Summarization (2 papers), Data Management and Algorithms (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Computer Science Applications (194 citations), Developmental and Educational Psychology (156 citations), Information Systems (188 citations), Artificial Intelligence (228 citations) and Human-Computer Interaction (36 citations). Ad Aerts has collaborated with scholars based in Netherlands and Germany. Frequent co-authors include Paul De Bra, David Smits, Natalia Stash, Geert‐Jan Houben, Heiner Stuckenschmidt, Richard Vdovjak, Philippe Thiran, Péter Barna and Flavius Frăsincar. Their work appears in journals such as Lecture notes in computer science, VUBIR (Vrije Universiteit Brussel), TU/e Research Portal, E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education and TU/e Research Portal (Eindhoven University of Technology).
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.