World's Best Scientists 2026 revealed!
Carolyn Penstein Rosé

Carolyn Penstein Rosé

D-Index & Metrics

Computer Science

D-Index
62
Citations
14922
World Ranking
2907
National Ranking
1431

Carolyn Penstein Rosé 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 Carolyn Penstein Rosé 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: 397 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Carolyn Penstein Rosé 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 Carolyn Penstein Rosé 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

Carolyn Penstein Rosé is affiliated with Carnegie Mellon University in the United States and specializes in computer science with a focus on artificial intelligence, computer science applications, developmental and educational psychology, information systems, and education. Their work spans interdisciplinary domains related to technology-enhanced learning and computational methods applied in educational and collaborative settings.

Their research covers a variety of topics, including:

  • Innovative Teaching and Learning Methods
  • Topic Modeling
  • Online Learning and Analytics
  • Natural Language Processing Techniques
  • Teaching and Learning Programming
  • Biomedical Text Mining and Ontologies
  • Intelligent Tutoring Systems and Adaptive Learning

Carolyn Penstein Rosé has published extensively, with a strong presence in venues such as arXiv (Cornell University) with 29 publications, the International Journal of Computer-Supported Collaborative Learning with 12 publications, Proceedings. with 11 publications, the Computer-Supported Collaborative Learning Conference with 7 publications, and the British Journal of Educational Technology with 5 publications.

Frequent collaborators include:

  • Sanna Järvelä
  • Shiyan Jiang
  • Jie Chao
  • Cansu Tatar
  • Atharva Naik

Notable recent papers include:

  • "Racial and Ethnic Disparities Among COVID-19 Cases in Workplace Outbreaks by Industry Sector - Utah, March 6-June 5, 2020" (2020), published in MMWR Morbidity and Mortality Weekly Report
  • "Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020" (2020), published in MMWR Morbidity and Mortality Weekly Report
  • "Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics" (2022), published in British Journal of Educational Technology
  • "A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Orality-Grounded HCID: Understanding the Oral User" (2022), published in OPAL (Open@LaTrobe) (La Trobe University)

Best Publications

  • Intelligent tutoring systems with conversational dialogue

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

  • CANTINA+: A Feature-Rich Machine Learning Framework for Detecting Phishing Web Sites

    Guang Xiang;Jason Hong;Carolyn P. Rose;Lorrie Cranor

  • Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

    Qian Yang;Aaron Steinfeld;Carolyn Rosé;John Zimmerman

  • Analyzing collaborative learning processes automatically: Exploiting the advances of computational linguistics in computer-supported collaborative learning

    Carolyn Penstein Rosé;Yi-Chia Wang;Yue Cui;Jaime Arguello

  • Talk to me: foundations for successful individual-group interactions in online communities

    Jaime Arguello;Brian S. Butler;Elisabeth Joyce;Robert Kraut

  • Sentiment Analysis in MOOC Discussion Forums: What does it tell us?

    Miaomiao Wen;Diyi Yang;Carolyn Penstein Rosé

  • Stress Test Evaluation for Natural Language Inference

    Aakanksha Naik;Abhilasha Ravichander;Norman M. Sadeh;Carolyn Penstein Rosé

  • Detecting offensive tweets via topical feature discovery over a large scale twitter corpus

    Guang Xiang;Bin Fan;Ling Wang;Jason Hong

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

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

  • Author Age Prediction from Text using Linear Regression

    Dong Nguyen;Noah A. Smith;Carolyn P. Rosé

  • Computational sociolinguistics: A survey

    Dong Nguyen;A. Seza Doğruöz;Carolyn P. Rosé;Franciska de Jong

  • Tutorial Dialogue as Adaptive Collaborative Learning Support

    Rohit Kumar;Carolyn P. Rosé;Yi-Chia Wang;Mahesh Joshi

  • Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016)

    Jo Yohan;Gaurav Tomar;Oliver Ferschke;Carolyn Penstein Rose

  • Architecture for Building Conversational Agents that Support Collaborative Learning

    R Kumar;Carolyn P Rosé

  • Towards an Agile Approach to Adapting Dynamic Collaboration Support to Student Needs

    David Adamson;Gregory Dyke;Hyeju Jang;Carolyn Penstein Rosé

  • Generalizing Dependency Features for Opinion Mining

    Unknown

  • Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains.

    Xu Wang;Diyi Yang;Miaomiao Wen;Kenneth R. Koedinger

  • Data mining and education.

    Kenneth R. Koedinger;Sidney D'Mello;Elizabeth A. McLaughlin;Zachary A. Pardos

  • Social factors that contribute to attrition in MOOCs

    Carolyn Penstein Rosé;Ryan Carlson;Diyi Yang;Miaomiao Wen

  • Student agency to participate in dialogic science discussions

    Sherice N. Clarke;Iris Howley;Lauren Resnick;Carolyn Penstein Rosé

  • Spoken Versus Typed Human and Computer Dialogue Tutoring

    Diane J. Litman;Carolyn P. Rosé;Kate Forbes-Riley;Kurt Vanlehn

  • The Beginning of a Beautiful Friendship? Intelligent Tutoring Systems and MOOCs

    Vincent Aleven;Jonathan Sewall;Octav Popescu;Franceska Xhakaj

Frequent Co-Authors

Diyi Yang
Diyi Yang Stanford University
Nancy Law
Nancy Law University of Hong Kong
Kurt VanLehn
Kurt VanLehn Arizona State University
Vincent Aleven
Vincent Aleven Carnegie Mellon University
Kenneth R. Koedinger
Kenneth R. Koedinger Carnegie Mellon University
Ulrike Cress
Ulrike Cress Leibniz Institute for Neurobiology
Gerry Stahl
Gerry Stahl Drexel University
Dragan Gasevic
Dragan Gasevic Monash University
Frank Fischer
Frank Fischer Ludwig-Maximilians-Universität München
Alon Lavie
Alon Lavie Carnegie Mellon University

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