World's Best Scientists 2026 revealed!
Hiroshi G. Okuno

Hiroshi G. Okuno

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
10746
World Ranking
4845
National Ranking
57

Hiroshi G. Okuno 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 Hiroshi G. Okuno 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: 528 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Hiroshi G. Okuno 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 Hiroshi G. Okuno 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: 53 D-Index — 67th percentile

67% 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
  • 2012 - IEEE Fellow For contributions to robot audition technology

Overview

Hiroshi G. Okuno is affiliated with Waseda University in Japan. Their research primarily focuses on the intersection of computer science with applications in robotics, signal processing, and ecology. The scientist has contributed extensively to areas including speech and audio processing, animal vocal communication and behavior, marine animal studies, and artificial intelligence.

Their recent publications demonstrate an emphasis on robot audition technologies and the use of computational methods to analyze auditory scenes in natural and robotic contexts. Notable papers include:

  • Development of a continuum robot enhanced with distributed sensors for search and rescue (2022, ROBOMECH Journal)
  • Multiple Sound Source Position Estimation by Drone Audition Based on Data Association Between Sound Source Localization and Identification (2020, IEEE Robotics and Automation Letters)
  • Robot Audition and Computational Auditory Scene Analysis (2020, Advanced Intelligent Systems)
  • Drone audition listening from the sky estimates multiple sound source positions by integrating sound source localization and data association (2020, Advanced Robotics)
  • Fine-scale observations of spatio-spectro-temporal dynamics of bird vocalizations using robot audition techniques (2020, Remote Sensing in Ecology and Conservation)

Their collaborations frequently involve co-authors such as Kazuhiro Nakadai, Reiji Suzuki, Shiho Matsubayashi, Takaya Arita, and Mayumi J. Okuno, reflecting a collaborative approach to interdisciplinary research.

Publication venues where the scientist's work appears repeatedly include:

  • SSRN Electronic Journal
  • Advanced Robotics
  • ROBOMECH Journal
  • IEEE Robotics and Automation Letters
  • Advanced Intelligent Systems

The scientist's main field of study is computer science, with subfields notably encompassing signal processing, developmental biology, ecology, artificial intelligence, and ecology, evolution, behavior, and systematics. The main topics covered in their research span speech and audio processing, animal vocal communication and behavior, marine animal studies, animal behavior and reproduction, law, AI and intellectual property, avian ecology and behavior, and ethics and social impacts of AI.

Hiroshi G. Okuno was recognized with the IEEE Fellow award in 2012 for contributions to robot audition technology.

Best Publications

  • Audio-visual speech recognition using deep learning

    Kuniaki Noda;Yuki Yamaguchi;Kazuhiro Nakadai;Hiroshi G. Okuno

  • Active Audition for Humanoid

    Kazuhiro Nakadai;Tino Lourens;Hiroshi G. Okuno;Hiroaki Kitano

  • Computational auditory scene analysis

    David F. Rosenthal;Hiroshi G. Okuno

  • Design and Implementation of Robot Audition System 'HARK' — Open Source Software for Listening to Three Simultaneous Speakers

    Kazuhiro Nakadai;Toru Takahashi;Hiroshi G. Okuno;Hirofumi Nakajima

  • An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model

    K. Yoshii;M. Goto;K. Komatani;T. Ogata

  • Hybrid collaborative and content-based music recommendation using probabilistic model with latent user preferences

    Kazuyoshi Yoshii;Masataka Goto;Kazunori Komatani;Tetsuya Ogata

  • Blind Separation and Dereverberation of Speech Mixtures by Joint Optimization

    Takuya Yoshioka;Tomohiro Nakatani;Masato Miyoshi;Hiroshi G Okuno

  • Real-time auditory and visual multiple-object tracking for humanoids

    Kazuhiro Nakadai;Ken-ichi Hidai;Hiroshi Mizoguchi;Hiroshi G. Okuno

  • Lipreading using convolutional neural network

    Kuniaki Noda;Yuki Yamaguchi;Kazuhiro Nakadai;Hiroshi G. Okuno

  • Real-time sound source localization and separation for robot audition

    Kazuhiro Nakadai;Hiroshi G. Okuno;Hiroaki Kitano

  • Applying scattering theory to robot audition system: robust sound source localization and extraction

    K. Nakadai;D. Matsuura;H.G. Okuno;H. Kitano

  • Robot audiovisual system

    Kazuhiro Nakadai;Ken-ichi Hidai;Hiroshi Okuno;Hiroaki Kitano

  • Design of UAV-Embedded Microphone Array System for Sound Source Localization in Outdoor Environments

    Kotaro Hoshiba;Kai Washizaki;Mizuho Wakabayashi;Takahiro Ishiki

  • Robotics visual and auditory system

    Kazuhiro Nakadai;Hiroshi Okuno;Hiroaki Kitano

  • Instrument identification in polyphonic music: feature weighting to minimize influence of sound overlaps

    Tetsuro Kitahara;Masataka Goto;Kazunori Komatani;Tetsuya Ogata

  • A Modeling of Singing Voice Robust to Accompaniment Sounds and Its Application to Singer Identification and Vocal-Timbre-Similarity-Based Music Information Retrieval

    H. Fujihara;M. Goto;T. Kitahara;H.G. Okuno

  • Human-robot interaction through real-time auditory and visual multiple-talker tracking

    H.G. Okuno;K. Nakadai;K.I. Hidai;H. Mizoguchi

  • Robust Recognition of Simultaneous Speech by a Mobile Robot

    J.-M. Valin;S. Yamamoto;J. Rouat;F. Michaud

  • Automatic Synchronization between Lyrics and Music CD Recordings Based on Viterbi Alignment of Segregated Vocal Signals

    H. Fujihara;M. Goto;J. Ogata;K. Komatani

  • LyricSynchronizer: Automatic Synchronization System Between Musical Audio Signals and Lyrics

    H. Fujihara;M. Goto;J. Ogata;H. G. Okuno

Frequent Co-Authors

Tetsuya Ogata
Tetsuya Ogata Waseda University
Kazuhiro Nakadai
Kazuhiro Nakadai Tokyo Institute of Technology
Masataka Goto
Masataka Goto National Institute of Advanced Industrial Science and Technology
Hiroaki Kitano
Hiroaki Kitano Okinawa Institute of Science and Technology
Jun Tani
Jun Tani Okinawa Institute of Science and Technology
Osamu Ogawa
Osamu Ogawa Kyoto University
Tatsuya Kawahara
Tatsuya Kawahara Kyoto University
Satoshi Tadokoro
Satoshi Tadokoro Tohoku University

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