World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
21270
World Ranking
1674
National Ranking
860

Mari Ostendorf 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 Mari Ostendorf 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: 383 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Mari Ostendorf 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 Mari Ostendorf 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: 72 D-Index — 89th percentile

89% 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 - Fellow of the Royal Society of Edinburgh
  • 2005 - IEEE Fellow For contributions to statistical modeling of speech signals.

Overview

Mari Ostendorf is affiliated with the University of Washington in the United States. Their research primarily spans the field of Computer Science, with a concentration on Artificial Intelligence. Other subfields represented in their work include Signal Processing, Social Psychology, Computer Vision and Pattern Recognition, and Experimental and Cognitive Psychology.

Their scholarly output is reflected in frequent publications across several venues, notably arXiv (Cornell University), where they have published 24 papers. Other significant venues include Zenodo (CERN European Organization for Nuclear Research), the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, the Journal of Biomedical Informatics, and The Journal of the Acoustical Society of America.

Key topics addressed in their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and dialogue systems
  • Speech Recognition and Synthesis
  • AI in Service Interactions
  • Machine Learning in Healthcare
  • Speech and Audio Processing

Selected recent papers by Mari Ostendorf include:

  • "Spoken language interaction with robots: Recommendations for future research", 2021, Computer Speech & Language
  • "Dialogue State Tracking with a Language Model using Schema-Driven Prompting", 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction", 2020, Journal of Biomedical Informatics
  • "A Controllable Model of Grounded Response Generation", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Selective Annotation Makes Language Models Better Few-Shot Learners", 2022, arXiv (Cornell University)

Frequent co-authors of Ostendorf include:

  • Zeqiu Wu
  • Hannaneh Hajishirzi
  • Noah A. Smith
  • Yushi Hu
  • Hao Cheng

Mari Ostendorf's work has been recognized through distinctions including being named a Fellow of the Royal Society of Edinburgh in 2020. Additionally, they were awarded IEEE Fellow status in 2005 for contributions to statistical modeling of speech signals.

Best Publications

  • TOBI: a standard for labeling English prosody.

    Kim E. A. Silverman;Mary E. Beckman;John F. Pitrelli;Mari Ostendorf

  • Segmental durations in the vicinity of prosodic phrase boundaries.

    Colin W. Wightman;Stefanie Shattuck‐Hufnagel;Mari Ostendorf;Patti J. Price

  • The use of prosody in syntactic disambiguation

    P. J. Price;M. Ostendorf;S. Shattuck‐Hufnagel;C. Fong

  • From HMM's to segment models: a unified view of stochastic modeling for speech recognition

    M. Ostendorf;V.V. Digalakis;O.A. Kimball

  • Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

    Yi Luan;Luheng He;Mari Ostendorf;Hannaneh Hajishirzi

  • Glottalization of word-initial vowels as a function of prosodic structure

    L. Dilley;S. Shattuck-Hufnagel;M. Ostendorf

  • Normalization of non-standard words

    Richard Sproat;Alan W. Black;Stanley Chen;Shankar Kumar

  • Reading Level Assessment Using Support Vector Machines and Statistical Language Models

    Sarah Schwarm;Mari Ostendorf

  • Enriching speech recognition with automatic detection of sentence boundaries and disfluencies

    Yang Liu;E. Shriberg;A. Stolcke;D. Hillard

  • Automatic labeling of prosodic patterns

    C.W. Wightman;M. Ostendorf

  • ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition

    V. Digalakis;J.R. Rohlicek;M. Ostendorf

  • A general framework for information extraction using dynamic span graphs

    Yi Luan;Dave Wadden;Luheng He;Amy Shah

  • A stochastic segment model for phoneme-based continuous speech recognition

    M. Ostendorf;S. Roukos

  • A machine learning approach to reading level assessment

    Sarah E. Petersen;Mari Ostendorf

  • The challenge of spoken language systems: Research directions for the nineties

    R. Cole;L. Hirschman;L. Atlas;M. Beckman

  • HMM topology design using maximum likelihood successive state splitting

    Mari Ostendorf;Harald Singer

  • Text simplification for language learners: a corpus analysis.

    Sarah E. Petersen;Mari Ostendorf

  • Modeling long distance dependence in language: topic mixtures versus dynamic cache models

    R.M. Iyer;M. Ostendorf

  • Joint prosody prediction and unit selection for concatenative speech synthesis

    I. Bulyko;M. Ostendorf

  • Modeling long distance dependence in language: topic mixtures vs. dynamic cache models

    R. Iyer;M. Ostendorf

  • Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

    Mari Ostendorf;Michael Collins;Shri Narayanan;Douglas W. Oard

  • The use of prosody in syntactic disambiguation

    Patti Price;Mari Ostendorf;Stefanie Shattuck-Hufnagel;Cynthia Fong

Frequent Co-Authors

Hannaneh Hajishirzi
Hannaneh Hajishirzi University of Washington
Elizabeth Shriberg
Elizabeth Shriberg International Computer Science Institute
Yang Liu
Yang Liu Nanyang Technological University
Mei-Yuh Hwang
Mei-Yuh Hwang Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Li Deng
Li Deng Citadel
Michiel Bacchiani
Michiel Bacchiani Google (United States)
Lihong Li
Lihong Li Amazon (United States)
Les Atlas
Les Atlas University of Washington

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

Exploring related online degrees can broaden your opportunities in the tech field or provide new directions if you're considering a change. Many students compare the cost of criminal justice degree programs online to gauge affordability and future earning potential, especially for those interested in law enforcement technology or cybercrime.

If you have an interest in business and data, checking the accounting degree online cost can prove beneficial. Accounting and computer science overlap in areas like data analytics, so combining these paths can enhance your employability.

For those drawn to big data, pursuing the cheapest masters in data science is a smart way to build advanced analytical skills without breaking the bank. These programs are ideal for aspiring data scientists and AI specialists.

Finally, if you're considering leadership roles in the construction sector, the best 2 year construction management degree online programs offer a fast track to project management positions, which increasingly require digital and tech-savvy professionals.

Best Scientists Citing Mari Ostendorf

Trending Scientists

Recently Published Articles