World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8643
World Ranking
9164
National Ranking
3901

Rebecca J. Passonneau 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 Rebecca J. Passonneau 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Rebecca J. Passonneau 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 Rebecca J. Passonneau 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Rebecca J. Passonneau is affiliated with Pennsylvania State University in the United States. Their research spans multiple areas within computer science and social sciences, with a notable emphasis on artificial intelligence and education.

The scientist has contributed extensively to both primary fields of study:

  • Computer Science
  • Social Sciences

Subfields of particular focus include:

  • Artificial Intelligence
  • Education
  • Developmental and Educational Psychology
  • Computer Networks and Communications
  • General Social Sciences

Main topics covered in their work are diverse and reflect interdisciplinary research interests:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Innovative Teaching and Learning Methods
  • Educational Assessment and Pedagogy
  • Educational Strategies and Epistemologies
  • Student Assessment and Feedback
  • Intelligent Tutoring Systems and Adaptive Learning

The scientist has published papers in various venues, including:

  • arXiv (Cornell University)
  • Proceedings.
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • IEEE Transactions on Education

Some recent papers authored or coauthored by Rebecca J. Passonneau are:

  • "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Analytical Techniques for Developing Argumentative Writing in STEM: A Pilot Study," 2021, IEEE Transactions on Education
  • "Examining the Effect of Automated Assessments and Feedback on Students' Written Science Explanations," 2023, Proceedings.
  • "European journal of applied sciences," 2023, European journal of applied sciences

Frequent collaborative partners include:

  • Sadhana Puntambekar
  • Dana Gnesdilow
  • ChanMin Kim
  • Mahsa Sheikhi Karizaki
  • Indrani Dey

Best Publications

  • Sentiment Analysis of Twitter Data

    Apoorv Agarwal;Boyi Xie;Ilia Vovsha;Owen Rambow

  • Evaluating Content Selection in Summarization: The Pyramid Method

    Ani Nenkova;Rebecca J. Passonneau

  • The Pyramid Method: Incorporating human content selection variation in summarization evaluation

    Ani Nenkova;Rebecca Passonneau;Kathleen McKeown

  • Machine Learning for the New York City Power Grid

    C. Rudin;D. Waltz;R. N. Anderson;A. Boulanger

  • Discourse segmentation by human and automated means

    Rebecca J. Passonneau;Diane J. Litman

  • Quantitative and Qualitative Evaluation of Darpa Communicator Spoken Dialogue Systems

    Marilyn A. Walker;Rebecca Passonneau;Julie E. Boland

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

    Rebecca J. Passonneau;Diane J. Litman

  • The Benefits of a Model of Annotation

    Rebecca J. Passonneau;Bob Carpenter

  • Abstractive Multi-Document Summarization via Phrase Selection and Merging

    Lidong Bing;Piji Li;Yi Liao;Wai Lam

  • Semantic Frames to Predict Stock Price Movement

    Boyi Xie;Rebecca J. Passonneau;Leon Wu;Germán G. Creamer

  • Measuring Agreement on Set-valued Items (MASI) for Semantic and Pragmatic Annotation

    Rebecca J. Passonneau

  • A computational model of the semantics of tense and aspect

    Rebecca J. Passonneau

  • Combining Multiple Knowledge Sources for Discourse Segmentation

    Diane J. Litman;Rebecca J. Passonneau

  • CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning.

    Sarkar Snigdha Sarathi Das;Arzoo Katiyar;Rebecca J. Passonneau;Rui Zhang

  • Computing Reliability for Coreference Annotation

    Rebecca J. Passonneau

  • Do summaries help

    Kathleen McKeown;Rebecca J. Passonneau;David K. Elson;Ani Nenkova

  • DARPA communicator: Cross-system results for the 2001 evaluation

    Marilyn A. Walker;Alexander I. Rudnicky;Rashmi Prasad;John S. Aberdeen

  • The Manually Annotated Sub-Corpus: A Community Resource for and by the People

    Nancy Ide;Collin Baker;Christiane Fellbaum;Rebecca Passonneau

  • DATE: a dialogue act tagging scheme for evaluation of spoken dialogue systems

    Marilyn Walker;Rebecca Passonneau

  • MASC: The manually annotated Sub-Corpus of American English

    Nancy Ide;Collin F. Baker;Christiane Fellbaum;Charles J. Fillmore

Frequent Co-Authors

Cynthia Rudin
Cynthia Rudin Duke University
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Nancy Ide
Nancy Ide Vassar College
Diane J. Litman
Diane J. Litman University of Pittsburgh
Christiane Fellbaum
Christiane Fellbaum Princeton University
Ani Nenkova
Ani Nenkova Adobe Systems (United States)
Owen Rambow
Owen Rambow Stony Brook University
Martha Palmer
Martha Palmer University of Colorado Boulder
Jimmy Lin
Jimmy Lin University of Waterloo

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