World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
20675
World Ranking
2425
National Ranking
1215

Mark Guzdial 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 Mark Guzdial 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: 371 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Mark Guzdial 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 Mark Guzdial 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: 65 D-Index — 83rd percentile

83% 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

  • 2014 - ACM Distinguished Member
  • 2014 - ACM Fellow For contributions to computing education, and broadening participation.
  • 2010 - ACM Karl V. Karlstrom Outstanding Educator Award For their contributions to computing education, through the Media Computation (MediaComp) approach that they have created, supported, and disseminated, and its impact on broadening participation in computing.
  • 2009 - ACM Senior Member

Overview

Mark Guzdial is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily centers on computer science, particularly within the areas of computer science applications and educational approaches. The main fields of study covered in their work fall under Computer Science, with subfields including Information Systems and Management, Developmental and Educational Psychology, and Mechanical Engineering.

The scientist's research topics include teaching and learning programming, educational assessment and improvement, educational games and gamification, online learning and analytics, mechatronics education and applications, statistics education and methodologies, and educator training and historical pedagogy.

Mark Guzdial has authored several recent papers, such as:

  • "U.S. states must broaden participation while expanding access to computer science education" (2020, Communications of the ACM)
  • "The information won't just sink in: Helping teachers provide technology-assisted data literacy instruction in social studies" (2022, British Journal of Educational Technology)
  • "Talking about race in CS education" (2020, Communications of the ACM)
  • ""I'm Not a Computer": How Identity Informs Value and Expectancy During a Programming Activity" (2020, ICLS)
  • "Putting a Teaspoon of Programming into Other Subjects" (2023, Communications of the ACM)

Frequent co-authors in their publications include Barbara Ericson, Kwame Porter Robinson, Audrey Bennett, Sarah Dunton, and Renee Fall.

Mark Guzdial publishes often in venues such as Communications of the ACM, arXiv (Cornell University), British Journal of Educational Technology, Policy Futures in Education, and ICLS.

Their book publication includes "Computational Thinking Education in K-12," published by The MIT Press in 2022.

Awards received by Mark Guzdial include:

  • ACM Fellow (2014) for contributions to computing education and broadening participation
  • ACM Distinguished Member (2014)
  • ACM Karl V. Karlstrom Outstanding Educator Award (2010) for work on the Media Computation approach and its impact on broadening participation in computing
  • ACM Senior Member (2009)

Best Publications

  • Motivating Project-Based Learning: Sustaining the Doing, Supporting the Learning

    Phyllis C. Blumenfeld;Elliot Soloway;Ronald W. Marx;Joseph S. Krajcik

  • A multi-national, multi-institutional study of assessment of programming skills of first-year CS students

    Michael McCracken;Vicki Almstrum;Danny Diaz;Mark Guzdial

  • Learner-centered design: the challenge for HCI in the 21st century

    Elliot Soloway;Mark Guzdial;Kenneth E. Hay

  • Effective Discussion Through a Computer-Mediated Anchored Forum

    Mark Guzdial;Jennifer Turns

  • EducationPaving the way for computational thinking

    Mark Guzdial

  • Software‐Realized Scaffolding to Facilitate Programming for Science Learning

    Mark Guzdial

  • An evaluation of space-filling information visualizations for depicting hierarchical structures

    John Stasko;Richard Catrambone;Mark Guzdial;Kevin Mcdonald

  • Teaching the Nintendo generation to program

    Mark Guzdial;Elliot Soloway

  • A media computation course for non-majors

    Mark Guzdial

  • Learner-Centered Design of Computing Education: Research on Computing for Everyone

    Mark Guzdial

  • Motivation and nonmajors in computer science: identifying discrete audiences for introductory courses

    A. Forte;M. Guzdial

  • Information ecology of collaborations in educational settings: influence of tool

    Mark Guzdial

  • Beyond Adoption to Invention: Teacher-Created Collaborative Activities in Higher Education

    Mark Guzdial;Jochen Rick;Colleen Kehoe

  • A CS1 course designed to address interests of women

    Lauren Rich;Heather Perry;Mark Guzdial

  • Exploring hypotheses about media computation

    Mark Guzdial

  • Success in introductory programming: what works?

    Leo Porter;Mark Guzdial;Charlie McDowell;Beth Simon

  • Does contextualized computing education help

    Mark Guzdial

  • Developing a validated assessment of fundamental CS1 concepts

    Allison Elliott Tew;Mark Guzdial

  • The FCS1: a language independent assessment of CS1 knowledge

    Allison Elliott Tew;Mark Guzdial

  • Situating CoWeb: a scholarship of application

    Jochen Rick;Mark Guzdial

  • Computer Science Curriculum 2008: An Interim Revision of CS 2001

    Lillian Cassel;Alan Clements;Gordon Davies;Mark Guzdial

Frequent Co-Authors

John Stasko
John Stasko Georgia Institute of Technology
Richard Catrambone
Richard Catrambone Georgia Institute of Technology
Matthew J. Realff
Matthew J. Realff Georgia Institute of Technology
Janet L. Kolodner
Janet L. Kolodner Boston College
Elliot Soloway
Elliot Soloway University of Michigan–Ann Arbor
Ashwin Ram
Ashwin Ram Georgia Institute of Technology
Daniel A. Reed
Daniel A. Reed University of Utah
Beth Simon
Beth Simon University of California, San Diego
Amy Bruckman
Amy Bruckman Georgia Institute of Technology
Michael D. Byrne
Michael D. Byrne Rice University

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