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

Erik Duval publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Erik Duval sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 328 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Erik Duval D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Erik Duval sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Denis Gillet
Denis Gillet École Polytechnique Fédérale de Lausanne
Jelena Jovanovic
Jelena Jovanovic University of Belgrade
Abelardo Pardo
Abelardo Pardo University of Adelaide
Lora Aroyo
Lora Aroyo Google (United States)
Stefano Ceri
Stefano Ceri Polytechnic University of Milan

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