World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4210
World Ranking
13638
National Ranking
227

Sakriani Sakti 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 Sakriani Sakti 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: 351 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Sakriani Sakti 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 Sakriani Sakti 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Sakriani Sakti is affiliated with the Nara Institute of Science and Technology in Japan. Their research primarily falls within the field of Computer Science, with a substantial focus on Artificial Intelligence. Additional subfields include Computer Vision and Pattern Recognition, Signal Processing, Social Psychology, and Experimental and Cognitive Psychology.

The scientist's work covers multiple main topics, prominently Speech Recognition and Synthesis, Natural Language Processing Techniques, and Topic Modeling. Other notable topics in their research include Speech and dialogue systems, Speech and Audio Processing, Multimodal Machine Learning Applications, and Music and Audio Processing.

Their publication record includes a number of recent papers, among which are:

  • "ReMOT: A model-agnostic refinement for multiple object tracking", 2020, Image and Vision Computing
  • "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
  • "ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation", 2020, arXiv (Cornell University)

Sakti collaborates extensively with a network of researchers. Frequent coauthors include Satoshi Nakamura, Andros Tjandra, Sashi Novitasari, Katsuhito Sudoh, and Fan Yang.

The scientist's publications are commonly featured in journals and conferences such as arXiv (Cornell University), IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing, IEICE Transactions on Information and Systems, and Image and Vision Computing. The volume of their work in these venues varies, with the largest number of publications appearing on arXiv.

Best Publications

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

    Yusuke Oda;Hiroyuki Fudaba;Graham Neubig;Hideaki Hata

  • 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

  • The Zero Resource Speech Challenge 2019: TTS Without T.

    Ewan Dunbar;Robin Algayres;Julien Karadayi;Mathieu Bernard

  • 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

  • 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

  • A postfilter to modify the modulation spectrum in HMM-based speech synthesis

    Shinnosuke Takamichi;Tomoki Toda;Graham Neubig;Sakriani Sakti

  • Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach

    Nurul Lubis;Sakriani Sakti;Koichiro Yoshino;Satoshi Nakamura

  • VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019.

    Andros Tjandra;Berrak Sisman;Mingyang Zhang;Sakriani Sakti

  • Automated Social Skills Trainer

    Hiroki Tanaka;Sakriani Sakti;Graham Neubig;Tomoki Toda

  • The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units.

    Ewan Dunbar;Julien Karadayi;Mathieu Bernard;Xuan-Nga Cao

  • Transformer-Based Direct Speech-To-Speech Translation with Transcoder

    Takatomo Kano;Sakriani Sakti;Satoshi Nakamura

  • Feature optimized DPGMM clustering for unsupervised subword modeling: A contribution to zerospeech 2017

    Michael Heck;Sakriani Sakti;Satoshi Nakamura

  • Machine Speech Chain with One-shot Speaker Adaptation

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Structured-Based Curriculum Learning for End-to-End English-Japanese Speech Translation.

    Takatomo Kano;Sakriani Sakti;Satoshi Nakamura

  • Tensor Decomposition for Compressing Recurrent Neural Network

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A-STAR Project.

    Sakriani Sakti;Eka Kelana;Hammam Riza;Shinsuke Sakai

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

    Fan Yang;Sakriani Sakti;Yang Wu;Satoshi Nakamura

Frequent Co-Authors

Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Graham Neubig
Graham Neubig Carnegie Mellon University
Tomoki Toda
Tomoki Toda Nagoya University
Wolfgang Minker
Wolfgang Minker University of Ulm
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Masataka Goto
Masataka Goto National Institute of Advanced Industrial Science and Technology
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Alan W. Black
Alan W. Black Carnegie Mellon University
Alex Waibel
Alex Waibel Carnegie Mellon University

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