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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
49
Citations
11910
World Ranking
5806
National Ranking
76

Satoshi Nakamura 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 Satoshi Nakamura 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: 904 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Satoshi Nakamura 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 Satoshi Nakamura 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
  • 2016 - IEEE Fellow For contributions to speech recognition and speech-to-speech translation

Overview

Satoshi Nakamura is affiliated with the Nara Institute of Science and Technology in Japan. Their work focuses primarily on computer science, with a strong emphasis on artificial intelligence and its applications.

Their research covers various subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Experimental and Cognitive Psychology
  • Social Psychology
  • Cognitive Neuroscience

Key topics in their research include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech Recognition and Synthesis
  • Speech and Dialogue Systems
  • Multimodal Machine Learning Applications
  • Digital Mental Health Interventions
  • Speech and Audio Processing

Satoshi Nakamura has contributed significant work across multiple venues, frequently publishing in:

  • arXiv (Cornell University)
  • Journal of Natural Language Processing
  • IEEE Access
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEICE Transactions on Information and Systems

Recent published papers include:

  • "ReMOT: A model-agnostic refinement for multiple object tracking," 2020, Image and Vision Computing
  • "USB: A Unified Semi-supervised Learning Benchmark for Classification," 2022, arXiv (Cornell University)
  • "End-to-End Speech Translation With Transcoding by Multi-Task Learning for Distant Language Pairs," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Instance-Level Heterogeneous Domain Adaptation for Limited-Labeled Sketch-to-Photo Retrieval," 2020, IEEE Transactions on Multimedia
  • "Machine Speech Chain," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing

Nakamura frequently collaborates with other researchers, including:

  • Katsuhito Sudoh
  • Sakriani Sakti
  • Hiroki Tanaka
  • Koichiro Yoshino
  • Andros Tjandra

They have also contributed to book publications, notably:

  • Conversational Dialogue Systems for the Next Decade, published by Springer Science+Business Media in 2020

Nakamura's work has been recognized with distinctions including the IEEE Fellow award in 2016, which acknowledged contributions to speech recognition and speech-to-speech translation technologies.

Best Publications

  • Voice conversion through vector quantization

    Masanobu Abe;Satoshi Nakamura;Kiyohiro Shikano;Hisao Kuwabara

  • Voice conversion through vector quantization

    M. Abe;S. Nakamura;K. Shikano;H. Kuwabara

  • Acoustical Sound Database in Real Environments for Sound Scene Understanding and Hands-Free Speech Recognition

    Satoshi Nakamura;Kazuo Hiyane;Futoshi Asano;Takanobu Nishiura

  • Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T)

    Yusuke Oda;Hiroyuki Fudaba;Graham Neubig;Hideaki Hata

  • Incorporating Discrete Translation Lexicons into Neural Machine Translation

    Philip Arthur;Graham Neubig;Graham Neubig;Satoshi Nakamura

  • The ATR Multilingual Speech-to-Speech Translation System

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

  • Make Skeleton-based Action Recognition Model Smaller, Faster and Better

    Fan Yang;Yang Wu;Sakriani Sakti;Satoshi Nakamura

  • Listening while speaking: Speech chain by deep learning

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Lip movement synthesis from speech based on hidden Markov models

    E. Yamamoto;S. Nakamura;K. Shikano

  • Speech enhancement based on the subspace method

    F. Asano;S. Hayamizu;T. Yamada;S. Nakamura

  • Localization of multiple sound sources based on a CSP analysis with a microphone array

    T. Nishiura;T. Yamada;S. Nakamura;K. Shikano

  • Guiding Neural Machine Translation with Retrieved Translation Pieces

    Jingyi Zhang;Masao Utiyama;Eiichiro Sumita;Graham Neubig

  • Detecting Dementia Through Interactive Computer Avatars

    Hiroki Tanaka;Hiroyoshi Adachi;Norimichi Ukita;Manabu Ikeda

  • Compressing recurrent neural network with tensor train

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Postfilters to modify the modulation spectrum for statistical parametric speech synthesis

    Shinnosuke Takamichi;Tomoki Toda;Alan W. Black;Graham Neubig

  • AURORA-2J: An Evaluation Framework for Japanese Noisy Speech Recognition

    Satoshi Nakamura;Kazuya Takeda;Kazumasa Yamamoto;Takeshi Yamada

  • Automatic pronunciation scoring of words and sentences independent from the non-native's first language

    Tobias Cincarek;Rainer Gruhn;Christian Hacker;Elmar Nöth

  • Statistical Singing Voice Conversion with Direct Waveform Modification based on the Spectrum Differential

    Kazuhiro Kobayashi;Tomoki Toda;Graham Neubig;Sakriani Sakti

  • ReMOT: A model-agnostic refinement for multiple object tracking

    Fan Yang;Xin Chang;Sakriani Sakti;Yang Wu

  • Optimizing Segmentation Strategies for Simultaneous Speech Translation

    Yusuke Oda;Graham Neubig;Sakriani Sakti;Tomoki Toda

  • Make Skeleton-based Action Recognition Model Smaller, Faster and Better

    Fan Yang;Sakriani Sakti;Yang Wu;Satoshi Nakamura

Frequent Co-Authors

Sakriani Sakti
Sakriani Sakti Nara Institute of Science and Technology
Graham Neubig
Graham Neubig Carnegie Mellon University
Tomoki Toda
Tomoki Toda Nagoya University
Kiyohiro Shikano
Kiyohiro Shikano Nara Institute of Science and Technology
Katsumi Tanaka
Katsumi Tanaka Kyoto University
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Hiroshi Saruwatari
Hiroshi Saruwatari University of Tokyo
Kazuya Takeda
Kazuya Takeda Nagoya University
Wolfgang Minker
Wolfgang Minker University of Ulm
Tatsuya Kawahara
Tatsuya Kawahara Kyoto University

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