World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11576
World Ranking
5815
National Ranking
178

Abelardo Pardo 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 Abelardo Pardo 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: 210 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Abelardo Pardo 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 Abelardo Pardo 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - ACM Senior Member

Overview

Abelardo Pardo is affiliated with the University of Adelaide in Australia and has contributed extensively to research in the fields of computer science and social sciences, with a strong focus on applications within education.

The primary fields of Abelardo Pardo's work include:

  • Computer Science
  • Social Sciences

Their research further breaks down into subfields such as:

  • Computer Science Applications
  • Education
  • Artificial Intelligence
  • Developmental and Educational Psychology
  • Social Psychology

Core topics addressed in their publications include:

  • Online Learning and Analytics
  • Online and Blended Learning
  • Innovative Teaching and Learning Methods
  • Evaluation of Teaching Practices
  • Student Assessment and Feedback
  • E-Learning and Knowledge Management
  • Privacy-Preserving Technologies in Data

Abelardo Pardo has published in various scientific venues, with frequent contributions to:

  • IEEE Transactions on Learning Technologies
  • Assessment & Evaluation in Higher Education
  • Journal of Learning Analytics
  • British Journal of Educational Technology
  • TUGraz OPEN Library (Graz University of Technology)

Among notable recent publications are:

  • "Students' perceptions of, and emotional responses to, personalised learning analytics-based feedback: an exploratory study of four courses" (2020) in Assessment & Evaluation in Higher Education
  • "Temporally-focused analytics of self-regulated learning: A systematic review of literature" (2022) in Computers and Education Artificial Intelligence
  • "Trace-SRL: A Framework for Analysis of Microlevel Processes of Self-Regulated Learning From Trace Data" (2020) in IEEE Transactions on Learning Technologies
  • "Analytics of Learning Strategies: Role of Course Design and Delivery Modality" (2020) in Journal of Learning Analytics
  • "Students' sense-making of personalised feedback based on learning analytics" (2020) in Australasian Journal of Educational Technology

Collaborations form an important part of their work, with frequent coauthors including:

  • Srécko Joksimović
  • Vitomir Kovanović
  • Dragan Gašević
  • Abhinava Barthakur
  • Shane Dawson

In 2016, Abelardo Pardo was recognized as an ACM Senior Member, indicating a level of distinction within the computing community.

Best Publications

  • Algebric Decision Diagrams and Their Applications

    R. I. Bahar;E. A. Frohm;C. M. Gaona;G. D. Hachtel

  • VIS: A System for Verification and Synthesis

    Robert K. Brayton;Gary D. Hachtel;Alberto L. Sangiovanni-Vincentelli;Fabio Somenzi

  • Algebraic decision diagrams and their applications

    R. Iris Bahar;Erica A. Frohm;Charles M. Gaona;Gary D. Hachtel

  • Ethical and privacy principles for learning analytics

    Abelardo Pardo;George Siemens

  • Learning analytics to unveil learning strategies in a flipped classroom

    Jelena Jovanović;Dragan Gašević;Shane Dawson;Abelardo Pardo

  • Using Learning Analytics to Scale the Provision of Personalised Feedback.

    Abelardo Pardo;Jelena Jovanovic;Shane Dawson;Dragan Gašević

  • A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective

    Wannisa Matcha;Noraayu Ahmad Uzir;Dragan Gasevic;Abelardo Pardo

  • The student activity meter for awareness and self-reflection

    Sten Govaerts;Katrien Verbert;Erik Duval;Abelardo Pardo

  • Combining University Student Self-Regulated Learning Indicators and Engagement with Online Learning Events to Predict Academic Performance

    Abelardo Pardo;Feifei Han;Robert A. Ellis

  • Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge.

    Leah P. Macfadyen;Shane Dawson;Abelardo Pardo;Dragan Gaševic

  • Detecting Learning Strategies with Analytics: Links with Self-reported Measures and Academic Performance

    Dragan Gasevic;Jelena Jovanovic;Abelardo Pardo;Shane Dawson

  • Monitoring student progress using virtual appliances: A case study

    Vicente-Arturo Romero-Zaldivar;Abelardo Pardo;Daniel Burgos;Carlos Delgado Kloos

  • Markovian analysis of large finite state machines

    G.D. Hachtel;E. Macii;A. Pardo;F. Somenzi

  • Complexity Leadership in Learning Analytics: Drivers, Challenges, and Opportunities

    Yi Shan Tsai;Oleksandra Poquet;Oleksandra Poquet;Dragan Gašević;Shane Dawson

  • GLASS: a learning analytics visualization tool

    Derick Leony;Abelardo Pardo;Luis de la Fuente Valentín;David Sánchez de Castro

  • Predictive power of regularity of pre-class activities in a flipped classroom

    Jelena Jovanovic;Negin Mirriahi;Dragan Gašević;Shane Dawson

  • From Study Tactics to Learning Strategies: An Analytical Method for Extracting Interpretable Representations

    Ed Fincham;Dragan Gasevic;Jelena Jovanovic;Abelardo Pardo

  • OnTask: Delivering Data-Informed, Personalized Learning Support Actions.

    Abelardo Pardo;Kathryn Bartimote;Simon Buckingham Shum;Shane Dawson

  • What changes, and for whom? A study of the impact of learning analytics-based process feedback in a large course

    Lisa Angelique Lim;Sheridan Gentili;Abelardo Pardo;Vitomir Kovanović

  • Analytics for Learning Design: A Layered Framework and Tools.

    Davinia Hernández-Leo;Roberto Martinez-Maldonado;Abelardo Pardo;Juan A. Muñoz-Cristóbal

  • Re-encoding sequential circuits to reduce power dissipation

    Gary D. Hachtel;Mariano Hermida;Abelardo Pardo;Massimo Poncino

  • Analytics of Learning Strategies: Associations with Academic Performance and Feedback

    Wannisa Matcha;Dragan Gašević;Nora'Ayu Ahmad Uzir;Jelena Jovanović

Frequent Co-Authors

Carlos Delgado Kloos
Carlos Delgado Kloos Carlos III University of Madrid
Dragan Gasevic
Dragan Gasevic Monash University
Shane Dawson
Shane Dawson University of South Australia
Jelena Jovanovic
Jelena Jovanovic University of Belgrade
Gary D. Hachtel
Gary D. Hachtel University of Colorado Boulder
Fabio Somenzi
Fabio Somenzi University of Colorado Boulder
Robert A. Ellis
Robert A. Ellis Griffith University
Rafael A. Calvo
Rafael A. Calvo Imperial College London
Enrico Macii
Enrico Macii Polytechnic University of Turin

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