World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12603
World Ranking
4298
National Ranking
168

Julita Vassileva 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 Julita Vassileva 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: 317 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Julita Vassileva 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 Julita Vassileva 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Julita Vassileva is affiliated with the University of Saskatchewan in Canada. Their research spans multiple fields including Computer Science, Psychology, and Social Sciences, with a focus on Developmental and Educational Psychology, Sociology and Political Science, Computer Science Applications, Information Systems, and Artificial Intelligence.

Their main research topics include:

  • Educational Games and Gamification
  • Online Learning and Analytics
  • Technology Adoption and User Behaviour
  • Impact of Technology on Adolescents
  • Behavioral Health and Interventions
  • Blockchain Technology Applications and Security
  • Innovative Human-Technology Interaction

Julita Vassileva has published extensively, with notable papers such as:

  • "The effects of personalized gamification on students' flow experience, motivation, and enjoyment" (2022) in Smart Learning Environments
  • "A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives" (2020) in Frontiers in Blockchain
  • "Does Tailoring Gamified Educational Systems Matter? The Impact on Students' Flow Experience" (2020) in Proceedings of the Annual Hawaii International Conference on System Sciences
  • "Automating gamification personalization to the user and beyond" (2022) in Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)
  • "Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system" (2021) in PeerJ Computer Science

Frequent publication venues include:

  • arXiv (Cornell University)
  • Multimodal Technologies and Interaction
  • Frontiers in Artificial Intelligence
  • International Journal of Artificial Intelligence in Education
  • European Conference on Games Based Learning

Frequent co-authors collaborating with Julita Vassileva consist of:

  • Fidelia A. Orji
  • Nafisul Kiron
  • Ajay Kumar Shrestha
  • Kiemute Oyibo
  • Seiji Isotani

Best Publications

  • Trust and reputation model in peer-to-peer networks

    Y. Wang;J. Vassileva

  • Towards an Effective Health Interventions Design: An Extension of the Health Belief Model

    Rita Orji;Julita Vassileva;Regan Mandryk

  • Bayesian network-based trust model

    Y. Wang;J. Vassileva

  • Course sequencing techniques for large-scale web-based education

    Peter Brusilovsky;Julita Vassileva

  • Modeling the efficacy of persuasive strategies for different gamer types in serious games for health

    Rita Orji;Julita Vassileva;Regan L. Mandryk

  • Adaptive HyperText and Hypermedia

    Peter Brusilovsky;Alfred Kobsa;Julita Vassileva

  • Motivating participation in social computing applications: a user modeling perspective

    Julita Vassileva

  • Toward Social Learning Environments

    J. Vassileva

  • A Review on Trust and Reputation for Web Service Selection

    Yao Wang;J. Vassileva

  • Tailoring persuasive health games to gamer type

    Rita Orji;Regan L. Mandryk;Julita Vassileva;Kathrin M. Gerling

  • Bayesian network trust model in peer-to-peer networks

    Yao Wang;Julita Vassileva

  • Dynamic Course Generation

    Julita Vassileva

  • Dynamic Courseware Generation on the WWW

    Julita Vassileva;Ralph Deters

  • Multi-Agent Multi-User Modeling in I-Help

    Julita Vassileva;Gordon Mccalla;Jim Greer

  • A task-centered approach for user modeling in a hypermedia office documentation system

    Julita Vassileva

  • LunchTime: a slow-casual game for long-term dietary behavior change

    Rita Orji;Julita Vassileva;Regan L. Mandryk

  • Design and evaluation of an adaptive incentive mechanism for sustained educational online communities

    Ran Cheng;Julita Vassileva

  • Improving the Efficacy of Games for Change Using Personalization Models

    Rita Orji;Regan L. Mandryk;Julita Vassileva

  • The Intelligent Helpdesk: Supporting Peer-Help in a University Course

    Jim E. Greer;Gordon I. McCalla;John Cooke;Jason A. Collins

  • Supporting Peer Help and Collaboration in Distributed Workplace Environments

    Jim E. Greer;Gordon Mccalla;Jason A. Collins;Vive S. Kumar

Frequent Co-Authors

Ralph Deters
Ralph Deters University of Saskatchewan
Jie Zhang
Jie Zhang Nanyang Technological University
Regan L. Mandryk
Regan L. Mandryk University of Victoria
Seiji Isotani
Seiji Isotani University of Pennsylvania
Elizabeth A. Croft
Elizabeth A. Croft Monash University
Susan Bull
Susan Bull University of Oxford
Peter Brusilovsky
Peter Brusilovsky University of Pittsburgh
Steffen Staab
Steffen Staab University of Stuttgart
Alfred Kobsa
Alfred Kobsa University of California, Irvine
Max Mühlhäuser
Max Mühlhäuser Technical University of Darmstadt

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