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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
44
Citations
10942
World Ranking
7439
National Ranking
103

Takao Kobayashi 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 Takao Kobayashi 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: 243 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Takao Kobayashi 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 Takao Kobayashi 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: 44 D-Index — 48th percentile

48% 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

Takao Kobayashi is affiliated with the Tokyo Institute of Technology in Japan. Their research spans multiple fields, primarily focusing on medicine and computer science.

The main areas of study include:

  • Medicine
  • Computer Science

Within these fields, Kobayashi has contributed to various subfields, such as:

  • Artificial Intelligence
  • Materials Chemistry
  • Public Health, Environmental and Occupational Health
  • Electrical and Electronic Engineering
  • Reproductive Medicine

Their research addresses a range of topics including:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Endometriosis Research and Treatment
  • Uterine Myomas and Treatments
  • Machine Learning in Materials Science
  • Molecular Junctions and Nanostructures
  • Photochromic and Fluorescence Chemistry

Kobayashi has published extensively in several venues, frequently contributing to:

  • Fertility and Sterility
  • Intelligent Computing
  • arXiv (Cornell University)
  • Physical Review Research
  • Journal of Chemical Theory and Computation

Recent papers authored or co-authored by Kobayashi include:

  • "Calculating transition amplitudes by variational quantum deflation," 2022, Physical Review Research
  • "Analytical Energy Gradient for State-Averaged Orbital-Optimized Variational Quantum Eigensolvers and Its Application to a Photochemical Reaction," 2022, Journal of Chemical Theory and Computation
  • "Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters," 2023, Intelligent Computing
  • "Efficacy and safety of the combination of estetrol 15 mg/drospirenone 3 mg in a cyclic regimen for the treatment of endometriosis-associated pain and objective gynecological findings: a multicenter, placebo-controlled, double-blind, randomized study," 2024, Fertility and Sterility
  • "Applications of quantum computing for investigations of electronic transitions in phenylsulfonyl-carbazole TADF emitters," 2021, npj Computational Materials

Kobayashi frequently collaborates with a number of researchers, including:

  • Qi Gao
  • Michihiko Sugawara
  • Naoki Yamamoto
  • Masayoshi Nogami
  • Masashi Hirayama

Best Publications

  • Speech parameter generation algorithms for HMM-based speech synthesis

    K. Tokuda;T. Yoshimura;T. Masuko;T. Kobayashi

  • Simultaneous Modeling of Spectrum, Pitch and Duration in HMM-Based Speech Synthesis

    Takayoshi Yoshimura;Keiichi Tokuda;Takashi Masuko;Takao Kobayashi

  • An adaptive algorithm for mel-cepstral analysis of speech

    T. Fukada;K. Tokuda;T. Kobayashi;S. Imai

  • Analysis of Speaker Adaptation Algorithms for HMM-Based Speech Synthesis and a Constrained SMAPLR Adaptation Algorithm

    J. Yamagishi;T. Kobayashi;Y. Nakano;K. Ogata

  • Hidden Markov models based on multi-space probability distribution for pitch pattern modeling

    K. Tokuda;T. Masuko;N. Miyazaki;T. Kobayashi

  • Speech parameter generation from HMM using dynamic features

    K. Tokuda;T. Kobayashi;S. Imai

  • Mel-generalized cepstral analysis - a unified approach to speech spectral estimation.

    Keiichi Tokuda;Takao Kobayashi;Takashi Masuko;Satoshi Imai

  • Multi-Space Probability Distribution HMM

    Keiichi Tokuda;Takashi Masuko;Noboru Miyazaki;Takao Kobayashi

  • Speech synthesis using HMMs with dynamic features

    T. Masuko;K. Tokuda;T. Kobayashi;S. Imai

  • Average-Voice-Based Speech Synthesis Using HSMM-Based Speaker Adaptation and Adaptive Training

    Junichi Yamagishi;Takao Kobayashi

  • Duration modeling for HMM-based speech synthesis.

    Takayoshi Yoshimura;Keiichi Tokuda;Takashi Masuko;Takao Kobayashi

  • Speaker Interpolation in HMM-Based Speech Synthesis System

    Takayoshi Yoshimura;Takashi Masuko;Keiichi Tokuda;Takao Kobayashi

  • Adaptation of pitch and spectrum for HMM-based speech synthesis using MLLR

    M. Tamura;T. Masuko;K. Tokuda;T. Kobayashi

  • Mixed Excitation for HMM-based Speech Synthesis

    Takayoshi Yoshimura;Keiichi Tokuda;Takashi Masuko;Takao Kobayashi

  • Hidden semi-Markov model based speech synthesis.

    Heiga Zen;Keiichi Tokuda;Takashi Masuko;Takao Kobayashi

  • Acoustic Modeling of Speaking Styles and Emotional Expressions in HMM-Based Speech Synthesis

    Junichi Yamagishi;Koji Onishi;Takashi Masuko;Takao Kobayashi

  • An algorithm for speech parameter generation from continuous mixture HMMs with dynamic features

    Keiichi Tokuda;Takashi Masuko;Tetsuya Yamada;Takao Kobayashi

  • A Style Control Technique for HMM-Based Expressive Speech Synthesis

    Takashi Nose;Junichi Yamagishi;Takashi Masuko;Takashi Masuko;Takao Kobayashi

  • Speaker adaptation for HMM-based speech synthesis system using MLLR.

    Masatsune Tamura;Takashi Masuko;Keiichi Tokuda;Takao Kobayashi

  • Speech Synthesis with Various Emotional Expressions and Speaking Styles by Style Interpolation and Morphing

    Makoto Tachibana;Junichi Yamagishi;Takashi Masuko;Takao Kobayashi

Frequent Co-Authors

Keiichi Tokuda
Keiichi Tokuda Nagoya Institute of Technology
Takashi Masuko
Takashi Masuko Preferred Networks, Inc.
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Shigeki Sagayama
Shigeki Sagayama University of Tokyo
Heiga Zen
Heiga Zen Google (United States)
Tomoki Toda
Tomoki Toda Nagoya University
Tatsuya Kawahara
Tatsuya Kawahara Kyoto University

External Links

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