World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7349
World Ranking
8396
National Ranking
3595

George Foster 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 George Foster 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: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

George Foster 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 George Foster 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

George Foster is a researcher affiliated with Google in the United States. Their scholarly work primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence and Control and Systems Engineering.

Their research covers several core topics including Natural Language Processing Techniques, Topic Modeling, Text Readability and Simplification, as well as Fault Detection and Control Systems. These areas reflect an interdisciplinary approach combining language technologies with industrial applications.

Foster has contributed to multiple publication venues, with a particular presence in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal

Recent papers authored by Foster include:

  • "Human-Paraphrased References Improve Neural Machine Translation" (2020), published in arXiv (Cornell University)
  • "Finding Replicable Human Evaluations via Stable Ranking Probability" (2024), published in arXiv (Cornell University)
  • "A Time Series Diagnosis Method for Industrial Equipment Faults Combining Complex-Valued Spectral Attention and Deformable Convolution" (2025), published in SSRN Electronic Journal

Foster's collaborative network includes frequent coauthors such as Markus Freitag, David Grangier, Colin Cherry, Parker Riley, and Daniel Deutsch, indicating active involvement in joint research efforts.

Best Publications

  • Using cognates to align sentences in bilingual corpora

    Michel Simard;George F. Foster;Pierre Isabelle

  • Confidence estimation for machine translation

    John Blatz;Erin Fitzgerald;George Foster;Simona Gandrabur

  • Batch Tuning Strategies for Statistical Machine Translation

    Colin Cherry;George Foster

  • The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

    Mia Xu Chen;Orhan Firat;Ankur Bapna;Melvin Johnson

  • Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges

    Naveen Arivazhagan;Ankur Bapna;Orhan Firat;Dmitry Lepikhin

  • Mixture-Model Adaptation for SMT

    George Foster;Roland Kuhn

  • Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

    Jonathan Shen;Patrick Nguyen;Yonghui Wu;Zhifeng Chen

  • Improving Translation Quality by Discarding Most of the Phrasetable

    Howard Johnson;Joel Martin;George Foster;Roland Kuhn

  • Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation

    George Foster;Cyril Goutte;Roland Kuhn

  • Means and Method for Adapted Language Translation

    George Foster;Roland Kuhn

  • Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation.

    Markus Freitag;George F. Foster;David Grangier;Viresh Ratnakar

  • A Challenge Set Approach to Evaluating Machine Translation

    Pierre Isabelle;Colin Cherry;George F. Foster

  • The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

    Mia Xu Chen;Orhan Firat;Ankur Bapna;Melvin Johnson

  • Target-Text Mediated Interactive Machine Translation

    George Foster;Pierre Isabelle;Pierre Plamondon

  • TransType: a computer-aided translation typing system

    Philippe Langlais;George Foster;Guy Lapalme

  • Phrasetable Smoothing for Statistical Machine Translation

    George Foster;Roland Kuhn;Howard Johnson

  • Revisiting Character-Based Neural Machine Translation with Capacity and Compression

    Colin Andrew Cherry;George Foster;Ankur Bapna;Orhan Firat

  • Translation analysis and translation automation

    Pierre Isabelle;Marc Dymetman;George Foster;Jean-Marc Jutras

  • Confidence estimation for translation prediction

    Simona Gandrabur;George Foster

  • User-Friendly Text Prediction For Translators

    George Foster;Philippe Langlais;Guy Lapalme

Frequent Co-Authors

Roland Kuhn
Roland Kuhn National Research Council Canada
Colin Cherry
Colin Cherry Google (Canada)
Cyril Goutte
Cyril Goutte National Research Council Canada
Guy Lapalme
Guy Lapalme University of Montreal
Zhifeng Chen
Zhifeng Chen Google (United States)
Yonghui Wu
Yonghui Wu Google (United States)
David Grangier
David Grangier Google (United States)
Marc G. Bellemare
Marc G. Bellemare Google (United States)
Yuan Cao
Yuan Cao Google (United States)
Jian-Yun Nie
Jian-Yun Nie University of Montreal

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