World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
13645
World Ranking
2496
National Ranking
1247

Diane J. Litman 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 Diane J. Litman 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: 298 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Diane J. Litman 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 Diane J. Litman 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.

Overview

Diane J. Litman is affiliated with the University of Pittsburgh in the United States. Their research spans multiple fields, including computer science and social sciences, with a focus on artificial intelligence, education, developmental and educational psychology, information systems, and political science and international relations.

Their main research topics cover:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and dialogue systems
  • Innovative Teaching and Learning Methods
  • Software Engineering Research
  • Writing and Handwriting Education
  • Online Learning and Analytics

Frequent publication venues include:

  • arXiv (Cornell University)
  • Assessing Writing
  • Proceedings
  • Technology Mind and Behavior
  • Computers and Education Open

Recent papers authored or co-authored by Diane J. Litman include:

  • "eRevis(ing): Students' revision of text evidence use in an automated writing evaluation system" (2020, Assessing Writing)
  • "Building a validity argument for an automated writing evaluation system (eRevise) as a formative assessment" (2022, Computers and Education Open)
  • "Toward more effective and equitable learning: Identifying barriers and solutions for the future of online education." (2022, Technology Mind and Behavior)
  • "ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining" (2022, arXiv [Cornell University])
  • "ArgRewrite V.2: an annotated argumentative revisions corpus" (2022, Language Resources and Evaluation)

Diane J. Litman's frequent co-authors include:

  • Lindsay Clare Matsumura
  • Richard Correnti
  • Elaine Wang
  • Adriana Kovashka
  • Timothy J. Nokes-Malach

In addition to articles, Diane J. Litman has contributed to book publications such as Contributions to Research on Automated Writing Scoring and Feedback Systems published by RAND Corporation eBooks in 2022.

Best Publications

  • PARADISE: A Framework for Evaluating Spoken Dialogue Agents

    Marilyn A. Walker;Diane J. Litman;Candace A. Kamm;Alicia Abella

  • A plan recognition model for subdialogues in conversations

    Diane J. Litman;James F. Allen

  • Empirical studies on the disambiguation of cue phrases

    Julia Hirschberg;Diane Litman

  • Optimizing dialogue management with reinforcement learning: experiments with the NJFun system

    Satinder Singh;Diane Litman;Michael Kearns;Marilyn Walker

  • Towards developing general models of usability with PARADISE

    Marilyn Walker;Candace Kamm;Diane Litman

  • ITSPOKE: an intelligent tutoring spoken dialogue system

    Diane J. Litman;Scott Silliman

  • Discourse segmentation by human and automated means

    Rebecca J. Passonneau;Diane J. Litman

  • Reinforcement Learning for Spoken Dialogue Systems

    Satinder P. Singh;Michael J. Kearns;Diane J. Litman;Marilyn A. Walker

  • Predicting Student Emotions in Computer-Human Tutoring Dialogues

    Diane J. Litman;Kate Forbes-Riley

  • Designing and Evaluating an Adaptive Spoken Dialogue System

    Diane J. Litman;Shimei Pan

  • Evaluating spoken dialogue agents with PARADISE: Two case studies

    Marilyn A. Walker;Diane J. Litman;Candace A. Kamm;Alicia Abella

  • INTENTION-BASED SEGMENTATION: HUMAN RELIABILITY AND CORRELATION WITH LINGUISTIC CUES

    Rebecca J. Passonneau;Diane J. Litman

  • Method and system for predicting understanding errors in automated dialog systems

    Allen Louis Gorin;Irene Langkilde Geary;Marilyn Ann Walker;Jeremy H. Wright

  • Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies

    Min Chi;Kurt Vanlehn;Diane Litman;Pamela Jordan

  • Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors

    Diane J. Litman;Katherine Forbes-Riley

  • Plan recognition and discourse analysis: an integrated approach for understanding dialogues

    Diane Judith Litman

  • Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor

    Kate Forbes-Riley;Diane Litman

  • Combining Multiple Knowledge Sources for Discourse Segmentation

    Diane J. Litman;Rebecca J. Passonneau

  • NOW LET'S TALK ABOUT NOW; IDENTIFYING CUE PHRASES INTONATIONALLY

    Julia Hirschberg;Diane Litman

  • Learning to predict problematic situations in a spoken dialogue system: experiments with how may I help you?

    Marilyn Walker;Irene Langkilde;Jerry Wright;Allen Gorin

  • Spoken Versus Typed Human and Computer Dialogue Tutoring

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

Frequent Co-Authors

Marilyn A. Walker
Marilyn A. Walker University of California, Santa Cruz
Julia Hirschberg
Julia Hirschberg Columbia University
Kurt VanLehn
Kurt VanLehn Arizona State University
Marc Swerts
Marc Swerts Tilburg University
Rebecca J. Passonneau
Rebecca J. Passonneau Pennsylvania State University
Joel Tetreault
Joel Tetreault Yahoo (United Kingdom)
Claire Cardie
Claire Cardie Cornell University
Satinder Singh
Satinder Singh DeepMind (United Kingdom)
Janyce Wiebe
Janyce Wiebe University of Pittsburgh
Michael Kearns
Michael Kearns University of Pennsylvania

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