World's Best Scientists 2026 revealed!
Christopher D. Hundhausen

Christopher D. Hundhausen

D-Index & Metrics

Computer Science

D-Index
30
Citations
4573
World Ranking
13998
National Ranking
5561

Christopher D. Hundhausen 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 Christopher D. Hundhausen 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: 115 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Christopher D. Hundhausen 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 Christopher D. Hundhausen 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Christopher D. Hundhausen is affiliated with Oregon State University in the United States. Their research primarily focuses on areas within computer science, particularly software engineering techniques and practices, software engineering research, online learning and analytics, innovative teaching and learning methods, open source software innovations, teaching and learning programming, and online and blended learning.

Their work spans multiple subfields including information systems, computer science applications, developmental and educational psychology, and education.

Hundhausen has published several recent papers in reputable venues. These include:

  • Combining GitHub, Chat, and Peer Evaluation Data to Assess Individual Contributions to Team Software Development Projects (2023, ACM Transactions on Computing Education)
  • Assessing individual contributions to software engineering projects: a replication study (2022, Computer Science Education)
  • Designing IDE Interventions to Promote Social Interaction and Improved Programming Outcomes in Early Computing Courses (2021, ACM Transactions on Computing Education)
  • HELPd Empathy Tool: A Tool for Generating Emotional Learning Process Data-based Interventions to Support Community Building in Computing Courses (2025, ACM Transactions on Computing Education)
  • Comprehension-Performance Gap in GenAI-Assisted Brownfield Programming: A Replication and Extension (2025, arXiv (Cornell University))

Their frequent coauthors reflect collaboration across related domains. Notable collaborators include:

  • Olusola Adesope
  • Phillip Conrad
  • Ahsun Tariq
  • A.S. Carter
  • Daniel Olivares

Christopher D. Hundhausen has contributed frequently to several publication venues. These include:

  • ACM Transactions on Computing Education (3 publications)
  • Computer Science Education (1 publication)
  • arXiv (Cornell University) (1 publication)

The scientist's research topics range across multiple aspects of software engineering and education:

  • Software Engineering Techniques and Practices
  • Software Engineering Research
  • Online Learning and Analytics
  • Innovative Teaching and Learning Methods
  • Open Source Software Innovations
  • Teaching and Learning Programming
  • Online and Blended Learning

Christopher D. Hundhausen's body of work integrates aspects of computing education with empirical software engineering, often using data-driven methods to assess individual and collaborative contributions in software development. The research also explores educational tools and interventions designed to improve programming outcomes and community building within computing courses.

Best Publications

  • A Meta-Study of Algorithm Visualization Effectiveness

    Christopher D. Hundhausen;Sarah A. Douglas;John T. Stasko

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

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

  • An Experimental Study of the Effects of Representational Guidance on Collaborative Learning Processes.

    Daniel D. Suthers;Christopher D. Hundhausen

  • Learning by Constructing Collaborative Representations: An Empirical Comparison of Three Alternatives.

    Daniel D. Suthers;Christopher D. Hundhausen

  • An Empirical Study of the Effects of Representational Guidance on Collaborative Learning.

    Daniel D. Suthers;Christopher Hundhausen

  • The Normalized Programming State Model: Predicting Student Performance in Computing Courses Based on Programming Behavior

    Adam S. Carter;Christopher D. Hundhausen;Olusola Adesope

  • What You See Is What You Code: A live algorithm development and visualization environment for novice learners

    Christopher D. Hundhausen;Jonathan L. Brown

  • Exploring studio-based instructional models for computing education

    Christopher D. Hundhausen;N Hari Narayanan;Martha E. Crosby

  • Integrating algorithm visualization technology into an undergraduate algorithms course: ethnographic studies of a social constructivist approach

    Christopher D. Hundhausen

  • Comparing the roles of representations in face-to-face and online computer supported collaborative learning

    Daniel D. Suthers;Christopher D. Hundhausen;Laura E. Girardeau

  • On the design of an educational infrastructure for the blind and visually impaired in computer science

    Andreas M. Stefik;Christopher Hundhausen;Derrick Smith

  • Talking about code: Integrating pedagogical code reviews into early computing courses

    Christopher D. Hundhausen;Anukrati Agrawal;Pawan Agarwal

  • Deictic Roles of External Representations in Face-to-Face and Online Collaboration

    Daniel D. Suthers;Laura E. Girardeau;Christopher D. Hundhausen

  • Using visualizations to learn algorithms: should students construct their own, or view an expert's?

    C. Hundhausen;S. Douglas

  • Can direct manipulation lower the barriers to computer programming and promote transfer of training?: An experimental study

    Christopher D. Hundhausen;Sean F. Farley;Jonathan L. Brown

  • An Empirical Study of the “Prototype Walkthrough”: A Studio-Based Activity for HCI Education

    C. D. Hundhausen;D. Fairbrother;M. Petre

  • Blending Measures of Programming and Social Behavior into Predictive Models of Student Achievement in Early Computing Courses

    Adam S. Carter;Christopher D. Hundhausen;Olusola Adesope

  • Integrating pedagogical code reviews into a CS 1 course: an empirical study

    Christopher Hundhausen;Anukrati Agrawal;Dana Fairbrother;Michael Trevisan

  • Designing, visualizing, and discussing algorithms within a CS 1 studio experience: An empirical study

    Christopher D. Hundhausen;Jonathan L. Brown

  • An experimental study of the impact of visual semantic feedback on novice programming

    Christopher D. Hundhausen;Jonathan Lee Brown

  • An empirical investigation into the design of auditory cues to enhance computer program comprehension

    Andreas Stefik;Christopher Hundhausen;Robert Patterson

  • Does studio-based instruction work in CS 1?: an empirical comparison with a traditional approach

    Christopher Hundhausen;Anukrati Agrawal;Dana Fairbrother;Michael Trevisan

  • IDE-Based Learning Analytics for Computing Education: A Process Model, Critical Review, and Research Agenda

    C. D. Hundhausen;D. M. Olivares;A. S. Carter

Frequent Co-Authors

Daniel D. Suthers
Daniel D. Suthers University of Hawaii at Manoa
Rainer Koschke
Rainer Koschke University of Bremen
Alexandru Telea
Alexandru Telea Utrecht University
Marian Petre
Marian Petre The Open University
Beth Simon
Beth Simon University of California, San Diego
John Stasko
John Stasko Georgia Institute of Technology
Diane J. Cook
Diane J. Cook Washington State University
Mark Guzdial
Mark Guzdial University of Michigan–Ann Arbor
Dragan Gasevic
Dragan Gasevic Monash University
Maureen Schmitter-Edgecombe
Maureen Schmitter-Edgecombe Washington State University

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