World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6660
World Ranking
8885
National Ranking
3782

Brian Roark 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 Brian Roark 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: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Brian Roark 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 Brian Roark 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Brian Roark is affiliated with Google in the United States. Their body of work primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, Language and Linguistics, Computer Vision and Pattern Recognition, Signal Processing, and Cultural Studies.

The scientist's research topics include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Handwritten Text Recognition Techniques
  • Translation Studies and Practices
  • Text Readability and Simplification
  • Language and cultural evolution
  • Authorship Attribution and Profiling

Brian Roark has contributed to a number of recent papers. These works include:

  • Phonotactic Complexity and Its Trade-offs, 2020, Repository for Publications and Research Data (ETH Zurich)
  • Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset, 2020, arXiv (Cornell University)
  • Context-aware Transliteration of Romanized South Asian Languages, 2023, Computational Linguistics
  • Graphemic Normalization of the Perso-Arabic Script, 2022, arXiv (Cornell University)

These publications appear extensively in venues such as arXiv (Cornell University), Computational Linguistics, and the Repository for Publications and Research Data (ETH Zurich). The frequency of publications across these venues includes:

  • arXiv (Cornell University): 8 publications
  • Computational Linguistics: 2 publications
  • Repository for Publications and Research Data (ETH Zurich): 1 publication
  • Grapholinguistics and its applications: 1 publication

The scientist frequently collaborates with peers including Christo Kirov, Cibu Johny, Alexander Gutkin, Raiomond Doctor, and Richard Sproat.

Best Publications

  • Incremental Parsing with the Perceptron Algorithm

    Michael Collins;Brian Roark

  • Probabilistic top-down parsing and language modeling

    Brian Roark

  • Spoken Language Derived Measures for Detecting Mild Cognitive Impairment

    B. Roark;M. Mitchell;J. Hosom;K. Hollingshead

  • Discriminative n-gram language modeling

    Brian Roark;Murat Saraclar;Michael Collins

  • Noun-Phrase Co-occurrence Statistics for Semi-Automatic Semantic Lexicon Construction

    Brian Roark;Eugene Charniak

  • Deriving lexical and syntactic expectation-based measures for psycholinguistic modeling via incremental top-down parsing

    Brian Roark;Asaf Bachrach;Carlos Cardenas;Christophe Pallier

  • Unsupervised language model adaptation

    M. Bacchiani;B. Roark

  • Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm

    Brian Roark;Murat Saraclar;Michael Collins;Mark Johnson

  • Generalized Algorithms for Constructing Statistical Language Models

    Cyril Allauzen;Mehryar Mohri;Brian Roark

  • The SRI/OGI 2006 spoken term detection system.

    Dimitra Vergyri;Izhak Shafran;Andreas Stolcke;Venkata Ramana Rao Gadde

  • RSVP keyboard: An EEG based typing interface

    Umut Orhan;Kenneth E. Hild;Deniz Erdogmus;Brian Roark

  • The OpenGrm open-source finite-state grammar software libraries

    Brian Roark;Richard Sproat;Cyril Allauzen;Michael Riley

  • Discriminative Syntactic Language Modeling for Speech Recognition

    Michael Collins;Brian Roark;Murat Saraclar

  • Supervised and unsupervised PCFG adaptation to novel domains

    Brian Roark;Michiel Bacchiani

  • Syntactic complexity measures for detecting Mild Cognitive Impairment

    Brian Roark;Margaret Mitchell;Kristy Hollingshead

  • Phonotactic Complexity and Its Trade-offs

    Tiago Pimentel;Brian Roark;Ryan D. Cotterell

  • Bringing Contextual Information to Google Speech Recognition

    Petar S. Aleksic;Mohammadreza Ghodsi;Assaf Hurwitz Michaely;Cyril Allauzen

  • What Kind of Language Is Hard to Language-Model?

    Sebastian J. Mielke;Ryan Cotterell;Kyle Gorman;Brian Roark

  • MAP adaptation of stochastic grammars

    Michiel Bacchiani;Michael Riley;Brian Roark;Richard Sproat

  • Brain–Computer Interface With Language Model–Electroencephalography Fusion for Locked-In Syndrome

    Barry S. Oken;Umut Orhan;Brian Roark;Deniz Erdogmus

  • Fully Automated Neuropsychological Assessment for Detecting Mild Cognitive Impairment.

    Maider Lehr;Emily Tucker Prud'hommeaux;Izhak Shafran;Brian Roark

  • Neural models of text normalization for speech applications

    Hao Zhang;Richard Sproat;Axel H. Ng;Felix Stahlberg

Frequent Co-Authors

Murat Saraclar
Murat Saraclar Boğaziçi University
Ryan Cotterell
Ryan Cotterell ETH Zurich
Richard Sproat
Richard Sproat Google (United States)
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Barry Oken
Barry Oken Oregon Health & Science University
Michael Riley
Michael Riley Google (United States)
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
Mark Johnson
Mark Johnson Macquarie University
Eugene Charniak
Eugene Charniak Brown University
Jason Eisner
Jason Eisner Johns Hopkins University

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