World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6830
World Ranking
11111
National Ranking
94

Lauri Malmi 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 Lauri Malmi 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: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Lauri Malmi 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 Lauri Malmi 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Lauri Malmi is affiliated with Aalto University in Finland and has contributed substantially to research in computing education and psychology. Their work spans areas including computer science applications, developmental and educational psychology, and information systems, with a primary focus on teaching and learning programming.

Their research has been published in a variety of academic venues, with multiple papers in ACM Transactions on Computing Education. Other frequent publication venues include ACM Inroads, The Journal of Perinatal Education, arXiv (Cornell University), and the International Journal of Artificial Intelligence in Education.

Their significant recent papers include:

  • Development and Use of Domain-specific Learning Theories, Models, and Instruments in Computing Education, 2022, ACM Transactions on Computing Education
  • Improving Engagement in Program Construction Examples for Learning Python Programming, 2020, International Journal of Artificial Intelligence in Education
  • Event-driven Programming in Programming Education, 2021, ACM Transactions on Computing Education
  • From a National Meeting to an International Conference: A Scientometric Case Study of a Finnish Computing Education Conference, 2022, IEEE Access
  • Editorial: Conceptualizing and Using Theory in Computing Education Research, 2022, ACM Transactions on Computing Education

Lauri Malmi frequently collaborates with several coauthors, including Päivi Kinnunen, Marjaana Siivola, Judy Sheard, Jarkko Lampiselkä, and Arja Kaasinen. These collaborations have produced multiple publications in the computing education field.

The main fields of study for Lauri Malmi encompass:

  • Computer Science
  • Psychology

Within these fields, the subfields of study include:

  • Computer Science Applications
  • Developmental and Educational Psychology
  • Education
  • Information Systems
  • Gender Studies

Lauri Malmi's research focuses on several key topics, such as:

  • Teaching and Learning Programming
  • Online Learning and Analytics
  • Innovative Teaching and Learning Methods
  • Educational Games and Gamification
  • Educational Strategies and Epistemologies
  • Gender and Technology in Education
  • Evaluation of Teaching Practices

Best Publications

  • Exploring the role of visualization and engagement in computer science education

    Thomas L. Naps;Guido Rößling;Vicki Almstrum;Wanda Dann

  • A survey of literature on the teaching of introductory programming

    Arnold Pears;Stephen Seidman;Lauri Malmi;Linda Mannila

  • A Review of Generic Program Visualization Systems for Introductory Programming Education

    Juha Sorva;Ville Karavirta;Lauri Malmi

  • Why students drop out CS1 course

    Päivi Kinnunen;Lauri Malmi

  • Fully automatic assessment of programming exercises

    Riku Saikkonen;Lauri Malmi;Ari Korhonen

  • Visual Algorithm Simulation Exercise System with Automatic Assessment: TRAKLA2

    Lauri Malmi;Ville Karavirta;Ari Korhonen;Jussi Nikander

  • Evaluating the educational impact of visualization

    Thomas Naps;Stephen Cooper;Boris Koldehofe;Charles Leska

  • Increasing Students’ Awareness of Their Behavior in Online Learning Environments with Visualizations and Achievement Badges

    Tapio Auvinen;Lasse Hakulinen;Lauri Malmi

  • PBL and Computer Programming--The Seven Steps Method with Adaptations.

    Esko Nuutila;Seppo Törmä;Lauri Malmi

  • Experiences in automatic assessment on mass courses and issues for designing virtual courses

    Lauri Malmi;Ari Korhonen;Riku Saikkonen

  • Enhancing learning management systems to better support computer science education

    Guido Rößling;Mike Joy;Andrés Moreno;Atanas Radenski

  • Algorithm simulation with automatic assessment

    Ari Korhonen;Lauri Malmi

  • Theoretical underpinnings of computing education research: what is the evidence?

    Lauri Malmi;Judy Sheard;Simon;Roman Bednarik

  • Increasing Adoption of Smart Learning Content for Computer Science Education

    Peter Brusilovsky;Stephen Edwards;Amruth Kumar;Lauri Malmi

  • How do students solve parsons programming problems?: an analysis of interaction traces

    Juha Helminen;Petri Ihantola;Ville Karavirta;Lauri Malmi

  • Jype - a program visualization and programming exercise tool for Python

    Juha Helminen;Lauri Malmi

  • Constructing a core literature for computing education research

    Arnold Pears;Stephen Seidman;Crystal Eney;Päivi Kinnunen

  • Characterizing research in computing education: a preliminary analysis of the literature

    Lauri Malmi;Judy Sheard;Simon;Roman Bednarik

  • Experiences on automatically assessed algorithm simulation exercises with different resubmission policies

    Lauri Malmi;Ville Karavirta;Ari Korhonen;Jussi Nikander

  • Observations on student misconceptions—A case study of the Build – Heap Algorithm

    Otto Seppälä;Lauri Malmi;Ari Korhonen

Frequent Co-Authors

Peter Brusilovsky
Peter Brusilovsky University of Pittsburgh
Tapio Salakoski
Tapio Salakoski University of Turku
Mordechai Ben-Ari
Mordechai Ben-Ari Weizmann Institute of Science
Beth Simon
Beth Simon University of California, San Diego
Marian Petre
Marian Petre The Open University
Helge Brattebø
Helge Brattebø Norwegian University of Science and Technology
Jan Elen
Jan Elen KU Leuven
Jo Tondeur
Jo Tondeur Vrije Universiteit Brussel
Stephen H. Edwards
Stephen H. Edwards Virginia Tech

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