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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
49
Citations
8567
World Ranking
5943
National Ranking
81

Eiichiro Sumita 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 Eiichiro Sumita 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: 455 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Eiichiro Sumita 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 Eiichiro Sumita 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: 49 D-Index — 60th percentile

60% 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

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Eiichiro Sumita is affiliated with the National Institute of Information and Communications Technology in Japan. Their research primarily focuses on computer science, with a concentration in artificial intelligence, computer vision and pattern recognition, information systems, computer science applications, and computer networks and communications.

Their scholarly output includes a significant number of publications covering several key topics: natural language processing techniques, topic modeling, multimodal machine learning applications, text readability and simplification, speech recognition and synthesis, handwritten text recognition techniques, and speech and dialogue systems.

Frequent publication venues for Eiichiro Sumita include:

  • arXiv (Cornell University)
  • Journal of Natural Language Processing
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Zenodo (CERN European Organization for Nuclear Research)

Key recent papers authored or co-authored by Eiichiro Sumita are:

  • Text Compression-aided Transformer Encoding, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Extremely low-resource neural machine translation for Asian languages, 2020, Machine Translation
  • Unsupervised Neural Machine Translation With Cross-Lingual Language Representation Agreement, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Universal Multimodal Representation for Language Understanding, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Towards More Diverse Input Representation for Neural Machine Translation, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing

Their frequent co-authors include Masao Utiyama, Rui Wang, Kehai Chen, Hai Zhao, and Zuchao Li. Collaborations with these researchers have occurred across multiple publications.

Best Publications

  • Toward a Broad-coverage Bilingual Corpus for Speech Translation of Travel Conversations in the Real World

    Toshiyuki Takezawa;Eiichiro Sumita;Fumiaki Sugaya;Hirofumi Yamamoto

  • EXPERIMENTS AND PROSPECTS OF EXAMPLE-BASED MACHINE TRANSLATION

    Eiichiro Sumita;Hitoshi Hda

  • Overview of the patent machine translation task at the NTCIR-9 workshop

    Isao Goto;Bin Lu;Ka Po Chow;Eiichiro Sumita

  • ASPEC: Asian Scientific Paper Excerpt Corpus

    Toshiaki Nakazawa;Manabu Yaguchi;Kiyotaka Uchimoto;Masao Utiyama

  • The ATR Multilingual Speech-to-Speech Translation System

    S. Nakamura;K. Markov;H. Nakaiwa;G. Kikui

  • Creating corpora for speech-to-speech translation.

    Gen-ichiro Kikui;Eiichiro Sumita;Toshiyuki Takezawa;Seiichi Yamamoto

  • Reordering constraints for phrase-based statistical machine translation

    Richard Zens;Hermann Ney;Taro Watanabe;Eiichiro Sumita

  • Measuring Non-native Speakers' Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions

    Eiichiro Sumita;Fumiaki Sugaya;Seiichi Yamamoto

  • Instance Weighting for Neural Machine Translation Domain Adaptation

    Rui Wang;Masao Utiyama;Lemao Liu;Kehai Chen

  • Neural Machine Translation with Supervised Attention

    Lemao Liu;Masao Utiyama;Andrew M. Finch;Eiichiro Sumita

  • Overview of the 1st Workshop on Asian Translation

    Toshiaki Nakazawa;Shohei Higashiyama;Chenchen Ding;Hideya Mino

  • Translating with Examples: A New Approach to Machine Translation

    Eiichiro Sumita;Hitoshi Iida;Hideo Kohyama

  • Using Machine Translation Evaluation Techniques to Determine Sentence-level Semantic Equivalence.

    Andrew M. Finch;Young-Sook Hwang;Eiichiro Sumita

  • Guiding Neural Machine Translation with Retrieved Translation Pieces

    Jingyi Zhang;Masao Utiyama;Eiichiro Sumita;Graham Neubig

  • Agreement on Target-bidirectional Neural Machine Translation

    Lemao Liu;Masao Utiyama;Andrew M. Finch;Eiichiro Sumita

  • An Unsupervised Model for Joint Phrase Alignment and Extraction

    Graham Neubig;Taro Watanabe;Eiichiro Sumita;Shinsuke Mori

  • Syntax-Directed Attention for Neural Machine Translation

    Kehai Chen;Rui Wang;Masao Utiyama;Eiichiro Sumita

  • Sentence Embedding for Neural Machine Translation Domain Adaptation

    Rui Wang;Andrew M. Finch;Masao Utiyama;Eiichiro Sumita

  • Using multiple edit distances to automatically rank machine translation output

    Yasuhiro Akiba;Kenji Imamura;Eiichiro Sumita

  • Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation

    Kenji Imamura;Atsushi Fujita;Eiichiro Sumita

  • Neural Machine Translation with Universal Visual Representation

    Zhuosheng Zhang;Kehai Chen;Rui Wang;Masao Utiyama

Frequent Co-Authors

Masao Utiyama
Masao Utiyama National Institute of Information and Communications Technology
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Michael J. Paul
Michael J. Paul University of Colorado Boulder
Seiichi Yamamoto
Seiichi Yamamoto Doshisha University
Graham Neubig
Graham Neubig Carnegie Mellon University
Sadao Kurohashi
Sadao Kurohashi Kyoto University
Yuji Matsumoto
Yuji Matsumoto Nara Institute of Science and Technology
Bao-Liang Lu
Bao-Liang Lu Shanghai Jiao Tong University
Manabu Okumura
Manabu Okumura Tokyo Institute of Technology

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