2026 Katrien Verbert: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	51	5299	5150	59	55	225	11619

Overview

Katrien Verbert is affiliated with KU Leuven in Belgium and has a research focus primarily positioned within the field of computer science, with 68 publications. Their work spans several subfields including artificial intelligence, computer science applications, computer vision and pattern recognition, information systems, and experimental and cognitive psychology.

The main topics of their research contributions include:

Online Learning and Analytics
Explainable Artificial Intelligence (XAI)
Recommender Systems and Techniques
Data Visualization and Analytics
E-Learning and Knowledge Management
Educational Games and Gamification
Cognitive Abilities and Testing

The scientist's frequent co-authors consist of:

Robin De Croon
Vero Vanden Abeele
Nyi Nyi Htun
Jeroen Ooge
Aditya Bhattacharya

They have contributed regularly to several academic venues, with recurring publications in:

arXiv (Cornell University)
British Journal of Educational Technology
Preprints.org
IEEE Transactions on Learning Technologies
IEEE Transactions on Visualization and Computer Graphics

Selected recent papers from Katrien Verbert include:

Health Recommender Systems: Systematic Review, 2021, Journal of Medical Internet Research
Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review, 2022, IEEE Transactions on Learning Technologies
"Knowing me, knowing you": personalized explanations for a music recommender system, 2022, User Modeling and User-Adapted Interaction
Adoption and impact of a learning analytics dashboard supporting the advisor-Student dialogue in a higher education institute in Latin America, 2020, British Journal of Educational Technology
Mobile Augmented Reality Laboratory for Learning Acid-Base Titration, 2022, Journal of Chemical Education

The topics addressed in these publications illustrate an emphasis on recommender systems, self-regulated learning technologies, personalized explanations in recommendation contexts, learning analytics dashboards, and the application of augmented reality in education. These papers reflect the intersection of artificial intelligence techniques with educational technology and user experience.

Best Publications

Learning analytics dashboard applications

Katrien Verbert;Katrien Verbert;Erik Duval;Joris Klerkx;Sten Govaerts;Sten Govaerts

809
Citations
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

K. Verbert;N. Manouselis;X. Ochoa;M. Wolpers

751
Citations
Interpretability of machine learning‐based prediction models in healthcare

Gregor Stiglic;Primoz Kocbek;Nino Fijacko;Marinka Zitnik

704
Citations
Learning dashboards: an overview and future research opportunities

Katrien Verbert;Sten Govaerts;Erik Duval;Jose Luis Santos

536
Citations
Interactive recommender systems

Chen He;Denis Parra;Katrien Verbert

395
Citations
Open Learning Analytics: an integrated modularized platform

George Siemens;Dragan Gašević;Caroline Haythornthwaite;Shane Dawson

337
Citations
Panorama of Recommender Systems to Support Learning

Hendrik Drachsler;Katrien Verbert;Katrien Verbert;Olga C. Santos;Nikos Manouselis

317
Citations
Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender Systems

Robert Bodily;Katrien Verbert

315
Citations
The student activity meter for awareness and self-reflection

Sten Govaerts;Katrien Verbert;Erik Duval;Abelardo Pardo

277
Citations
Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation

Gayane Sedrakyan;Gayane Sedrakyan;Jonna Malmberg;Katrien Verbert;Sanna Järvelä

276
Citations
Recommender Systems for Learning

Nikos Manouselis;Hendrik Drachsler;Katrien Verbert;Erik Duval

244
Citations
Tracking actual usage : the attention metadata approach

Martin Wolpers;Jehad Najjar;Katrien Verbert;Erik Duval

243
Citations
Dataset-Driven Research to Support Learning and Knowledge Analytics

Katrien Verbert;Nikos Manouselis;Hendrik Drachsler;Erik Duval

241
Citations
Dataset-driven research for improving recommender systems for learning

Katrien Verbert;Hendrik Drachsler;Nikos Manouselis;Martin Wolpers

237
Citations
Visualizing recommendations to support exploration, transparency and controllability

Katrien Verbert;Denis Parra;Peter Brusilovsky;Erik Duval

202
Citations
Open learner models and learning analytics dashboards: a systematic review

Robert Bodily;Judy Kay;Vincent Aleven;Ioana Jivet

174
Citations
Towards a Global Architecture for Learning Objects: A Comparative Analysis of Learning Object Content Models

Katrien Verbert;Erik Duval

171
Citations
Trends and issues in student-facing learning analytics reporting systems research

Robert Bodily;Katrien Verbert

166
Citations
Goal-oriented visualizations of activity tracking: a case study with engineering students

Jose Luis Santos;Sten Govaerts;Katrien Verbert;Erik Duval

163
Citations
To explain or not to explain: the effects of personal characteristics when explaining music recommendations

Martijn Millecamp;Nyi Nyi Htun;Cristina Conati;Katrien Verbert

131
Citations
LADA: A learning analytics dashboard for academic advising

Francisco Gutiérrez;Karsten Seipp;Xavier Ochoa;Katherine Chiluiza

118
Citations

Frequent Co-Authors

Erik Duval KU Leuven

Hendrik Drachsler German Institute for International Educational Research

Dragan Gasevic Monash University

Peter Brusilovsky University of Pittsburgh

Denis Gillet École Polytechnique Fédérale de Lausanne

Jelena Jovanovic University of Belgrade

Abelardo Pardo University of Adelaide

Carlos Delgado Kloos Carlos III University of Madrid

Daniel D. Suthers University of Hawaii at Manoa

Paul A. Kirschner Open University in the Netherlands

External Links

Personal website of Katrien Verbert Google Scholar page

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