World's Best Scientists 2026 revealed!
Erik Duval

Erik Duval

D-Index & Metrics

Computer Science

D-Index
57
Citations
12795
World Ranking
3849
National Ranking
40

Overview

Erik Duval was affiliated with KU Leuven in Belgium. Their research primarily spanned the field of Computer Science, with notable subfields including Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

The scholar's work covered a range of topics such as Semantic Web and Ontologies, Online Learning and Analytics, Cloud Computing and Resource Management, Peer-to-Peer Network Technologies, Library Science and Information Systems, Context-Aware Activity Recognition Systems, and Open Education and E-Learning.

Frequent coauthors in their collaborations included Katrien Verbert, Stefaan Ternier, José Luis Santos, Joris Klerkx, and Sven Charleer.

Regarding publication venues, Erik Duval contributed most often to the TUGraz OPEN Library (Graz University of Technology), with additional papers appearing in Data Archiving and Networked Services (DANS) and Lirias (KU Leuven).

Recent papers authored or co-authored by Erik Duval included:

  • Metadata Standards: What, Who & Why, 2020, TUGraz OPEN Library (Graz University of Technology)
  • Building Hypermedia with Objects and Sets, 2020, TUGraz OPEN Library (Graz University of Technology)

Other significant publications related to this research group included:

  • Tracking Data in Open Learning Environments, 2020, Data Archiving and Networked Services (DANS)
  • Unifying learning object repositories in MACE, 2022, Lirias (KU Leuven)
  • User Context and Personalized Learning: a Federation of Contextualized Attention Metadata, 2020, TUGraz OPEN Library (Graz University of Technology)

Their scholarly output concentrated on topics essential to digital learning environments and metadata standards, alongside interests in personalized learning and hypermedia construction.

Best Publications

  • Learning analytics dashboard applications

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

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

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

  • Metadata Principles and Practicalities

    Erik Duval;Wayne Hodgins;Stuart Sutton;Stuart L. Weibel

  • Learning dashboards: an overview and future research opportunities

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

  • Attention please!: learning analytics for visualization and recommendation

    Erik Duval

  • Reusable learning objects: a survey of LOM-based repositories

    Filip Neven;Erik Duval

  • Social Software for Life-long Learning

    Ralf Klamma;Mohamed Amine Chatti;Erik Duval;Hans G. K. Hummel

  • Open Learning Analytics: an integrated modularized platform

    George Siemens;Dragan Gašević;Caroline Haythornthwaite;Shane Dawson

  • The Ariadne knowledge pool system

    Erik Duval;Eddy Forte;Kris Cardinaels;Bart Verhoeven

  • The student activity meter for awareness and self-reflection

    Sten Govaerts;Katrien Verbert;Erik Duval;Abelardo Pardo

  • A LOM research agenda

    Erik Duval;Wayne Hodgins

  • Recommender Systems for Learning

    Nikos Manouselis;Hendrik Drachsler;Katrien Verbert;Erik Duval

  • Tracking actual usage : the attention metadata approach

    Martin Wolpers;Jehad Najjar;Katrien Verbert;Erik Duval

  • Dataset-Driven Research to Support Learning and Knowledge Analytics

    Katrien Verbert;Nikos Manouselis;Hendrik Drachsler;Erik Duval

  • Dataset-driven research for improving recommender systems for learning

    Katrien Verbert;Hendrik Drachsler;Nikos Manouselis;Martin Wolpers

  • Automating metadata generation: the simple indexing interface

    Kris Cardinaels;Michael Meire;Erik Duval

  • Visualizing recommendations to support exploration, transparency and controllability

    Katrien Verbert;Denis Parra;Peter Brusilovsky;Erik Duval

  • Quantitative Analysis of Learning Object Repositories

    X. Ochoa;E. Duval

  • A Simple Query Interface for Interoperable Learning Repositories

    Bernd Simon;David Massart;Frans Van Assche;Stefaan Ternier

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

    Katrien Verbert;Erik Duval

Frequent Co-Authors

Marcus Specht
Marcus Specht Delft University of Technology
Hendrik Drachsler
Hendrik Drachsler German Institute for International Educational Research
Dragan Gasevic
Dragan Gasevic Monash University
Jelena Jovanovic
Jelena Jovanovic University of Belgrade
Denis Gillet
Denis Gillet École Polytechnique Fédérale de Lausanne
Abelardo Pardo
Abelardo Pardo University of Adelaide
Lora Aroyo
Lora Aroyo Google (United States)
Stefano Ceri
Stefano Ceri Polytechnic University of Milan
Simon Buckingham Shum
Simon Buckingham Shum University of Technology Sydney

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a wide variety of related online degrees and career pathways. For students interested in technology and digital security, a cyber security bachelor degree online can provide the knowledge needed to protect organizations from ever-evolving digital threats.

Computer science skills can also be applied in fields beyond traditional IT. For example, a masters in construction management enables tech-savvy graduates to manage large-scale projects using modern tools and digital solutions.

Those interested in law and justice might consider a cheap criminal justice degree to pursue roles in law enforcement or forensic computing. Alternatively, pursuing an online accountant degree is ideal for tech-focused individuals who want to blend computer science expertise with financial acumen.

These related online degree options offer flexibility, affordability, and exciting career opportunities for computer science students looking to broaden their skills and marketability.

Best Scientists Citing Erik Duval