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D-Index & Metrics

Computer Science

D-Index
62
Citations
20016
World Ranking
2851
National Ranking
1411

Kurt VanLehn 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 Kurt VanLehn 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: 235 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Kurt VanLehn 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 Kurt VanLehn 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Kurt VanLehn is affiliated with Arizona State University in the United States. Their research primarily spans the fields of Computer Science and Psychology, with a focus on Artificial Intelligence, Developmental and Educational Psychology, Computer Science Applications, Education, and Signal Processing.

The scientist's main topics of work include Intelligent Tutoring Systems and Adaptive Learning, Innovative Teaching and Learning Methods, Teaching and Learning Programming, AI-based Problem Solving and Planning, Speech and Audio Processing, Mathematics, Computing, and Information Processing, as well as Online and Blended Learning.

Recent scholarly contributions by Kurt VanLehn consist of publications in several academic venues. These include:

  • Teaching Algebraic Model Construction: A Tutoring System, Lessons Learned and an Evaluation, 2020, International Journal of Artificial Intelligence in Education
  • A Step-Based Tutoring System to Teach Underachieving Students How to Construct Algebraic Models, 2023, International Journal of Artificial Intelligence in Education
  • WHAT DO STUDENTS DO WHEN USING A STEP-BASED TUTORING SYSTEM?, 2022, Research and Practice in Technology Enhanced Learning
  • Tracking the Teacher in the Classroom, a Case Study, 2023, Computer-supported collaborative learning/The "Computer-Supported Collaborative Learning Conference
  • Speech-based Automatic Classroom Activity Detection, 2024, Computer-supported collaborative learning/The "Computer-Supported Collaborative Learning Conference

Some of the frequent co-authors collaborating with Kurt VanLehn are Bahar Shahrokhian, Chandrani Banerjee, Fabio Milner, Jon Wetzel, and Avinash Sivaraman. The frequent publication venues include the International Journal of Artificial Intelligence in Education, Computer-supported collaborative learning/The "Computer-Supported Collaborative Learning Conference, and Research and Practice in Technology Enhanced Learning.

Best Publications

  • The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems

    Kurt VanLehn

  • The Behavior of Tutoring Systems

    Kurt Vanlehn

  • Repair theory: A generative theory of bugs in procedural skills

    John Seely Brown;Kurt VanLehn

  • The Andes Physics Tutoring System: Lessons Learned

    Kurt Vanlehn;Collin Lynch;Kay Schulze;Joel A. Shapiro

  • Using Bayesian Networks to Manage Uncertainty in Student Modeling

    Cristina Conati;Abigail Gertner;Kurt Vanlehn

  • Mind Bugs: The Origins of Procedural Misconceptions

    Kurt VanLehn

  • Problem solving and cognitive skill acquisition

    Kurt VanLehn

  • Intelligent tutoring systems with conversational dialogue

    Arthur C. Graesser;Kurt VanLehn;Carolyn P. Rosé;Pamela W. Jordan

  • Why Do Only Some Events Cause Learning During Human Tutoring

    Kurt VanLehn;Stephanie Siler;Charles Murray;Takashi Yamauchi

  • A model of the self-explanation effect.

    Kurt VanLehn;Randolph M. Jones;Michelene T.H. Chi

  • The Content of Physics Self-Explanations

    Michelene T.H. Chi;Kurt A. VanLehn

  • Scaffolding Deep Comprehension Strategies Through Point&Query, AutoTutor, and iSTART

    Arthur C. Graesser;Danielle S. McNamara;Kurt VanLehn

  • On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks

    Cristina Conati;Abigail S. Gertner;Kurt VanLehn;Marek J. Druzdzel

  • Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation

    Cristina Conati;Kurt Vanlehn

  • Andes: A Coached Problem Solving Environment for Physics

    Abigail S. Gertner;Kurt VanLehn

  • The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing

    Kurt VanLehn;Pamela W. Jordan;Carolyn Penstein Rosé;Dumisizwe Bhembe

  • Toward a theory of impasse-driven learning

    K. VanLehn

  • Student assessment using Bayesian nets

    Joel Martin;Kurt VanLehn

  • Procedural help in Andes: generating hints using a Bayesian network student model

    Abigail S. Gertner;Cristina Conati;Kurt VanLehn

  • Applications of simulated students: an exploration

    Kurt Vanlehn;Stellan Ohlsson;Rod Nason

  • Learning one subprocedure per lesson

    K Vanlehn

  • Rule acquisition events in the discovery of problem-solving strategies

    Kurt A. VanLehn

  • R. S. Michalski, J. G. Carbonell and T. M. Mitchell, Machine Learning: An Artificial Intelligence Approach.

    Kurt VanLehn

Frequent Co-Authors

Carolyn Penstein Rosé
Carolyn Penstein Rosé Carnegie Mellon University
Diane J. Litman
Diane J. Litman University of Pittsburgh
Cristina Conati
Cristina Conati University of British Columbia
Arthur C. Graesser
Arthur C. Graesser University of Memphis
Michelene T. H. Chi
Michelene T. H. Chi Arizona State University
Alan H. Schoenfeld
Alan H. Schoenfeld University of California, Berkeley
Kenneth R. Koedinger
Kenneth R. Koedinger Carnegie Mellon University
John Seely Brown
John Seely Brown Palo Alto Research Center
Danielle S. McNamara
Danielle S. McNamara Arizona State University
Christian D. Schunn
Christian D. Schunn University of Pittsburgh

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