Katrien Verbert

9.0k total citations · 4 hit papers
177 papers, 5.0k citations indexed

About

Katrien Verbert is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Katrien Verbert has authored 177 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Science Applications, 53 papers in Information Systems and 51 papers in Artificial Intelligence. Recurrent topics in Katrien Verbert's work include Online Learning and Analytics (52 papers), Recommender Systems and Techniques (38 papers) and Data Visualization and Analytics (26 papers). Katrien Verbert is often cited by papers focused on Online Learning and Analytics (52 papers), Recommender Systems and Techniques (38 papers) and Data Visualization and Analytics (26 papers). Katrien Verbert collaborates with scholars based in Belgium, Netherlands and United States. Katrien Verbert's co-authors include Erik Duval, Sten Govaerts, Nikos Manouselis, Robert Bodily, Hendrik Drachsler, Joris Klerkx, José Luis Santos, Xavier Ochôa, Denis Parra and Nyi Nyi Htun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Katrien Verbert

165 papers receiving 4.7k citations

Hit Papers

Learning Analytics Dashbo... 2012 2026 2016 2021 2013 2012 2013 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning Analytics Dashboard Applications
    2013 379 citations Katrien Verbert, Erik Duval et al. profile →
  2. Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
    2012 360 citations Katrien Verbert, Nikos Manouselis et al. IEEE Transactions on Learning Technologies profile →
  3. Learning dashboards: an overview and future research opportunities
    2013 258 citations Katrien Verbert, Erik Duval et al. profile →
  4. Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation
    2018 173 citations Katrien Verbert et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katrien Verbert 2.6k 1.6k 1.5k 1.0k 945 177 5.0k
Erik Duval 2.8k 1.1× 1.3k 0.8× 1.4k 0.9× 793 0.8× 782 0.8× 195 4.4k
Simon Buckingham Shum 2.9k 1.1× 1.3k 0.8× 1.9k 1.2× 1.2k 1.2× 1.5k 1.6× 232 6.3k
Hendrik Drachsler 2.5k 1.0× 1.3k 0.8× 1.2k 0.8× 1.0k 1.0× 976 1.0× 163 4.5k
Philip J. Guo 2.3k 0.9× 2.5k 1.5× 1.3k 0.8× 609 0.6× 1.0k 1.1× 93 5.7k
Judy Kay 1.5k 0.6× 996 0.6× 1.3k 0.8× 1.2k 1.2× 703 0.7× 238 5.0k
Ronghuai Huang 1.2k 0.5× 1.1k 0.7× 846 0.6× 776 0.8× 1.5k 1.6× 200 4.6k
Yannis Dimitriadis 1.7k 0.7× 940 0.6× 662 0.4× 1.5k 1.5× 1.4k 1.5× 222 3.9k
Carolyn Penstein Rosé 2.0k 0.8× 1.1k 0.7× 3.3k 2.2× 1.8k 1.8× 1.2k 1.2× 300 6.6k
Marian Petre 1.2k 0.5× 1.4k 0.9× 686 0.4× 658 0.6× 633 0.7× 162 4.1k
Marcus Specht 1.3k 0.5× 1.0k 0.6× 530 0.3× 1.3k 1.3× 956 1.0× 233 3.5k

Countries citing papers authored by Katrien Verbert

Since Specialization
Citations

This map shows the geographic impact of Katrien Verbert'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 Katrien Verbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrien Verbert more than expected).

Fields of papers citing papers by Katrien Verbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrien Verbert. 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 Katrien Verbert. The network helps show where Katrien Verbert may publish in the future.

Co-authorship network of co-authors of Katrien Verbert

This figure shows the co-authorship network connecting the top 25 collaborators of Katrien Verbert. A scholar is included among the top collaborators of Katrien Verbert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katrien Verbert. Katrien Verbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Verbert, Katrien, et al.. (2025). Teacher-centric educational recommender systems in K12 practice: Usage and evaluation. Heliyon. 11(2). e42012–e42012.
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Gosak, Lucija, et al.. (2025). Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction. Lirias (KU Leuven). 1–18.
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Croon, Robin De, et al.. (2024). Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI. Lirias (KU Leuven). 690–700. 3 indexed citations
7.
Verbert, Katrien, et al.. (2024). A Method for Developing Process-Based Assessments for Computational Thinking Tasks. Journal of Learning Analytics. 11(2). 157–173.
8.
Verbert, Katrien, et al.. (2024). The effect of personalizing a psychotherapy conversational agent on therapeutic bond and usage intentions. Lirias (KU Leuven). 761–771. 10 indexed citations
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Noortgate, Wim Van Den, et al.. (2023). Investigating the Use of Deep Learning and Implicit Feedback in K12 Educational Recommender Systems. IEEE Transactions on Learning Technologies. 17. 112–123. 2 indexed citations
11.
Htun, Nyi Nyi, et al.. (2023). Smart tag packaging technologies: A qualitative investigation of consumers' needs and expectations. Packaging Technology and Science. 36(7). 595–613. 13 indexed citations
12.
Htun, Nyi Nyi, et al.. (2022). Developing Visual-Assisted Decision Support Systems across Diverse Agricultural Use Cases. Agriculture. 12(7). 1027–1027. 9 indexed citations
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Laet, Tinne De, et al.. (2020). Adoption and impact of a learning analytics dashboard supporting the advisor—Student dialogue in a higher education institute in Latin America. British Journal of Educational Technology. 51(4). 1002–1018. 26 indexed citations
15.
Gordillo, Aldo, Daniel López-Fernández, & Katrien Verbert. (2020). Examining the Usefulness of Quality Scores for Generating Learning Object Recommendations in Repositories of Open Educational Resources. Applied Sciences. 10(13). 4638–4638. 16 indexed citations
16.
Guerra, Julio, et al.. (2020). Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universities. British Journal of Educational Technology. 51(4). 973–1001. 23 indexed citations
17.
Pinxten, Maarten, et al.. (2019). Learning dashboards at scale: early warning and overall first year experience. Assessment & Evaluation in Higher Education. 45(6). 855–874. 20 indexed citations
18.
Manouselis, Nikos, Hendrik Drachsler, Katrien Verbert, & Olga C. Santos. (2012). Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012). DSpace (Open University in the Netherlands). 4 indexed citations
19.
Vidal, P., et al.. (2010). User Context and Personalized Learning: a Federation of Contextualized Attention Metadata. TU/e Research Portal. 12 indexed citations
20.
Duval, Erik, Stefaan Ternier, Martin Wolpers, et al.. (2007). Open metadata for open educational resources in an open infrastructure. Lirias (KU Leuven). 5 indexed citations

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.

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