World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
12262
World Ranking
5278
National Ranking
2432

Richard Sproat 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 Richard Sproat 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: 193 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Richard Sproat 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 Richard Sproat 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Richard Sproat is affiliated with Google in the United States, specializing primarily in computer science with a research focus spanning artificial intelligence, cultural studies, cognitive neuroscience, computational theory and mathematics, as well as computer vision and pattern recognition.

Their main research topics include natural language processing techniques, speech and dialogue systems, topic modeling, language and cultural evolution, speech recognition and synthesis, neurobiology of language and bilingualism, and algorithms and data compression.

Frequent co-authors collaborating with them on various projects include Alexander Gutkin, Kyle Gorman, Cibu Johny, Llion Jones, and Johann-Mattis List.

Richard Sproat has published extensively in several notable venues with a concentration in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Computational Linguistics
  • Synthesis lectures on human language technologies
  • Diachronica

Notable recent papers authored or co-authored by Richard Sproat include:

  • The Taxonomy of Writing Systems: How to Measure How Logographic a System Is, 2021, Computational Linguistics

Other recent papers in related research fields (although not solely authored by them) are:

  • Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview, 2020, arXiv (Cornell University)
  • Finite-State Text Processing, 2021, Synthesis lectures on human language technologies
  • Statistical evidence for the Proto-Indo-European-Euskarian hypothesis, 2021, Diachronica
  • NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task, 2020, arXiv (Cornell University)

Richard Sproat has contributed to book publications, including the title Finite-State Text Processing, published by Morgan & Claypool Publishers in 2021.

Best Publications

  • Emotions from Text: Machine Learning for Text-based Emotion Prediction

    Cecilia Ovesdotter Alm;Dan Roth;Richard Sproat

  • Allophonic variation in English /l/ and its implications for phonetic implementation

    Richard Sproat;Osamu Fujimura

  • WordsEye: an automatic text-to-scene conversion system

    Bob Coyne;Richard Sproat

  • Morphology and computation

    Richard William Sproat

  • Normalization of non-standard words

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

  • The Cross-Linguistic Distribution of Adjective Ordering Restrictions

    Richard Sproat;Chilin Shih

  • A stochastic finite-state word-segmentation algorithm for Chinese

    Richard Sproat;William Gale;Chilin Shih;Nancy Chang

  • Multilingual Text-to-Speech Synthesis

    Richard W. Sproat

  • Lattice-Based Search for Spoken Utterance Retrieval

    Murat Saraclar;Richard Sproat

  • A statistical method for finding word boundaries in Chinese text

    Richard Sproat;Chilin Shih

  • The First International Chinese Word Segmentation Bakeoff

    Richard Sproat;Thomas Emerson

  • A computational theory of writing systems

    Richard William Sproat

  • Multilingual text-to-speech synthesis : the Bell Labs approach

    Richard William Sproat;Louis Pols

  • Mining correlated bursty topic patterns from coordinated text streams

    Xuanhui Wang;ChengXiang Zhai;Xiao Hu;Richard Sproat

  • A Pragmatic Analysis of So-Called Anaphoric Islands

    Gregory Ward;Richard Sproat;Gail McKoon

  • Progress in speech synthesis

    Jan P. H. van Santen;Joseph P. Olive;Richard W. Sproat;Julia Hirschberg

  • The Stress and Structure of Modified Noun Phrases in English

    Mark Liberman;Richard Sproat

  • System and Method of Lattice-Based Search for Spoken Utterance Retrieval

    Murat Saraclar;Richard William Sproat

  • An Efficient Compiler for Weighted Rewrite Rules

    Mehryar Mohri;Richard Sproat

  • Compilation of Weighted Finite-State Transducers from Decision Trees

    Richard Sproat;Michael Riley

  • Weighted rational transductions and their application to human language processing

    Fernando Pereira;Michael Riley;Richard Sproat

  • A STOCHASTIC FINITE-STATE WORD-SEGMENTATION ALGORITHM FOR CHINESE

    Richard Sproat;Chilin Shih;William Gale;Nancy Chang

Frequent Co-Authors

Jan P. H. van Santen
Jan P. H. van Santen Oregon Health & Science University
Brian Roark
Brian Roark Google (United States)
Michael Riley
Michael Riley Google (United States)
Fernando Pereira
Fernando Pereira Google (United States)
Mari Ostendorf
Mari Ostendorf University of Washington
Alan W. Black
Alan W. Black Carnegie Mellon University
Owen Rambow
Owen Rambow Stony Brook University
Mehryar Mohri
Mehryar Mohri Google (United States)
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Julia Hirschberg
Julia Hirschberg Columbia University

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