World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
13777
World Ranking
3817
National Ranking
1814

Owen Rambow 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 Owen Rambow 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: 247 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Owen Rambow 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 Owen Rambow 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Owen Rambow is affiliated with Stony Brook University in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research spans a range of topics within this domain, including natural language processing techniques, sentiment analysis and opinion mining, as well as advanced text analysis techniques.

Their body of work further extends into subfields such as information systems, language and linguistics, general social sciences, and communication.

Owen Rambow's recent publications include:

  • A General Framework for Domain-Specialization of Stance Detection (2021) - Proceedings of the International Florida Artificial Intelligence Research Society Conference
  • Open-Domain Frame Semantic Parsing Using Transformers (2020) - arXiv (Cornell University)
  • From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains (2022) - Findings of the Association for Computational Linguistics: ACL 2022
  • Improving Opinion Mining Through Automatic Prompt Construction (2024) - Journal of Information Systems and Telecommunication (JIST)
  • NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly (2022) - arXiv (Cornell University)

Frequent co-authors collaborating with Owen Rambow include:

  • Adil Soubki
  • John Murzaku
  • Peter Zeng
  • Brodie Mather
  • Bonnie J. Dorr

Most of Rambow's work is published in venues such as:

  • arXiv (Cornell University)
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the International Florida Artificial Intelligence Research Society Conference
  • Journal of Information Systems and Telecommunication (JIST)

The main research themes in Owen Rambow's work focus on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Speech and Dialogue Systems
  • Language, Discourse, Communication Strategies
  • Text Readability and Simplification

Best Publications

  • Sentiment Analysis of Twitter Data

    Apoorv Agarwal;Boyi Xie;Ilia Vovsha;Owen Rambow

  • Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    Kevin Knight;Ani Nenkova;Owen Rambow

  • MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic

    Arfath Pasha;Mohamed Al-Badrashiny;Mona Diab;Ahmed El Kholy

  • Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop

    Nizar Habash;Owen Rambow

  • Conceptual modeling through linguistic analysis using LIDA

    Scott P. Overmyer;Benoit Lavoie;Owen Rambow

  • Exploiting a probabilistic hierarchical model for generation

    Srinivas Bangalore;Owen Rambow

  • Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking

    Ryan Roth;Owen Rambow;Nizar Habash;Mona Diab

  • MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects

    Nizar Habash;Owen Rambow

  • A Multi-Representational and Multi-Layered Treebank for Hindi/Urdu

    Rajesh Bhatt;Bhuvana Narasimhan;Martha Palmer;Owen Rambow

  • Automated sentence planning in a task classification system

    Marilyn A. Walker;Owen Christopher Rambow;Monica Rogati

  • Conventional Orthography for Dialectal Arabic

    Nizar Habash;Mona Diab;Owen Rambow

  • Arabic Diacritization through Full Morphological Tagging

    Nizar Habash;Owen Rambow

  • Evaluation Metrics for Generation

    Srinivas Bangalore;Owen Rambow;Steve Whittaker

  • System and method for natural language generation

    Srinivas Bangalore;Owen Christopher Rambow

  • The madar Arabic dialect corpus and lexicon

    Houda Bouamor;Nizar Habash;Mohammad Salameh;Wajdi Zaghouani

  • Summarizing email threads

    Owen Rambow;Lokesh Shrestha;John Chen;Chirsty Lauridsen

  • Morphological Analysis and Disambiguation for Dialectal Arabic

    Nizar Habash;Ryan Roth;Owen Rambow;Ramy Eskander

  • D-Tree Grammars

    Owen Rambow;K. Vijay-Shanker;David Weir

  • SPoT: a trainable sentence planner

    Marilyn A. Walker;Owen Rambow;Monica Rogati

  • Training a sentence planner for spoken dialogue using boosting

    Marilyn A. Walker;Owen C. Rambow;Monica Rogati

  • Parsing arabic dialects

    David Chiang;Mona T. Diab;Nizar Habash;Owen Rambow

  • A Morphological Analyzer and Generator for the Arabic Dialects

    Nizar Habash;Owen Rambow

Frequent Co-Authors

Nizar Habash
Nizar Habash New York University Abu Dhabi
Mona Diab
Mona Diab Carnegie Mellon University
Marilyn A. Walker
Marilyn A. Walker University of California, Santa Cruz
Srinivas Bangalore
Srinivas Bangalore Interactions LLC
Martha Palmer
Martha Palmer University of Colorado Boulder
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Julia Hirschberg
Julia Hirschberg Columbia University
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Rebecca J. Passonneau
Rebecca J. Passonneau Pennsylvania State University

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