World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
10965
World Ranking
7825
National Ranking
3385

Bonnie J. Dorr 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 Bonnie J. Dorr 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Bonnie J. Dorr 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 Bonnie J. Dorr 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - ACM Fellow For human-centered and linguistically inspired approaches to natural language processing
  • 2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to natural language understanding and representation, and development of the widely recognized methods for interlingual machine translation.
  • 1994 - Fellow of Alfred P. Sloan Foundation

Overview

Bonnie J. Dorr is affiliated with the University of Florida in the United States and has a research portfolio primarily in the field of Computer Science. Their work notably focuses on subfields including Artificial Intelligence, Information Systems, Social Psychology, Sociology and Political Science, and Computer Vision and Pattern Recognition.

The scientist's main research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Mental Health via Writing
  • Sentiment Analysis and Opinion Mining
  • Misinformation and Its Impacts
  • Spam and Phishing Detection
  • Digital Mental Health Interventions

Dorr has contributed to numerous publications, with frequent appearances in venues such as arXiv (Cornell University), Procedia Computer Science, Proceedings of the AAAI Symposium Series, Proceedings of the AAAI Conference on Artificial Intelligence, and Findings of the Association for Computational Linguistics: ACL 2022.

Recent papers include:

  • "CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts," 2022, published in arXiv (Cornell University)
  • "Psychologically-Valid Generative Agents: A Novel Approach to Agent-Based Modeling in Social Sciences," 2024, Proceedings of the AAAI Symposium Series
  • "Low-Resource Multi-Domain Machine Translation for Spanish-Farsi: Neural or Statistical?" 2020, Procedia Computer Science
  • "Knowledge Graphs Effectiveness in Neural Machine Translation Improvement," 2020, Computer Science
  • "Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge," 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors of Dorr include:

  • Brodie Mather
  • Adam Dalton
  • Tomek Strzalkowski
  • Archna Bhatia
  • Sashank Santhanam

The contributions by Bonnie J. Dorr also include distinctions such as being named an ACM Fellow in 2020 for work related to human-centered and linguistically inspired approaches to natural language processing. Additionally, Dorr was recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2013 for contributions to natural language understanding and interlingual machine translation methods. Earlier in their career, Dorr was a Fellow of the Alfred P. Sloan Foundation in 1994.

Best Publications

  • A Study of Translation Edit Rate with Targeted Human Annotation

    Matthew G. Snover;Bonnie J. Dorr;Richard M. Schwartz;Linnea Micciulla

  • Machine translation : a view from the lexicon

    Bonnie Jean Dorr

  • Machine translation divergences: a formal description and proposed solution

    Bonnie J. Dorr

  • Generating phrasal and sentential paraphrases: A survey of data-driven methods

    Nitin Madnani;Bonnie J. Dorr

  • Hedge Trimmer: a parse-and-trim approach to headline generation

    Bonnie Dorr;David Zajic;Richard Schwartz

  • The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics

    Steven Bird;Robert Dale;Bonnie J. Dorr;Bryan R. Gibson

  • Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus

    Saif Mohammad;Cody Dunne;Bonnie Dorr

  • Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric

    Matthew Snover;Nitin Madnani;Bonnie Dorr;Richard Schwartz

  • A survey of multilingual text retrieval

    Douglas W. Oard;Bonnie J. Dorr

  • Combining Outputs from Multiple Machine Translation Systems

    Antti-Veikko Rosti;Necip Fazil Ayan;Bing Xiang;Spyros Matsoukas

  • TER-Plus: paraphrase, semantic, and alignment enhancements to Translation Edit Rate

    Matthew G. Snover;Nitin Madnani;Bonnie Dorr;Richard Schwartz

  • Large-Scale Dictionary Construction for ForeignLanguage Tutoring and Interlingual Machine Translation

    Bonnie J. Dorr

  • Multi-candidate reduction: Sentence compression as a tool for document summarization tasks

    David Zajic;Bonnie J. Dorr;Jimmy Lin;Richard Schwartz

  • Using Citations to Generate surveys of Scientific Paradigms

    Saif Mohammad;Bonnie Dorr;Melissa Egan;Ahmed Hassan

  • A Survey of Current Paradigms in Machine Translation

    Bonnie J. Dorr;Pamela W. Jordan;John W. Benoit

  • Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization

    Cody Dunne;Ben Shneiderman;Robert Gove;Judith Klavans

  • A categorial variation database for English

    Nizar Habash;Bonnie Dorr

  • Computing Word-Pair Antonymy

    Saif Mohammad;Bonnie Dorr;Graeme Hirst

  • Single-document and multi-document summarization techniques for email threads using sentence compression

    David M. Zajic;Bonnie J. Dorr;Jimmy Lin

  • Computing Lexical Contrast

    Saif M. Mohammad;Bonnie J. Dorr;Graeme Hirst;Peter D. Turney

  • Exploring Different Human Judgments with a Tunable MT Metric

    Matthew Snover;Nitin Madnani;Bonnie J. Dorr;Richard Schwartz

Frequent Co-Authors

Nizar Habash
Nizar Habash New York University Abu Dhabi
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park
Jimmy Lin
Jimmy Lin University of Waterloo
Richard Schwartz
Richard Schwartz Brown University
Christof Monz
Christof Monz University of Amsterdam
Saif M. Mohammad
Saif M. Mohammad National Research Council Canada
Lori Levin
Lori Levin Carnegie Mellon University
Owen Rambow
Owen Rambow Stony Brook University
Philip Resnik
Philip Resnik University of Maryland, College Park
Eduard Hovy
Eduard Hovy Carnegie Mellon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a wide range of online degrees and career options. Many students start with an associate degree online, which can lead to entry-level roles in IT, computer support, or programming. These programs are flexible and can often be completed in just two years.

For those aiming to boost their credentials quickly, consider enrolling in one of the shortest masters degree programs. These accelerated options help you specialize and advance your career without spending years in school.

If you want to maximize your job prospects, it is wise to look into the most useful graduate degrees for computer science professionals. These degrees are designed to meet current industry demands and equip you with highly sought-after skills.

In addition, earning certifications for jobs in technology can be a smart and cost-effective way to prove your expertise to employers. Certifications often focus on key areas like cybersecurity, cloud computing, or software development—helping you stand out in a competitive job market.

Best Scientists Citing Bonnie J. Dorr

Trending Scientists

Recently Published Articles