World's Best Scientists 2026 revealed!
Hiroshi Murase

Hiroshi Murase

D-Index & Metrics

Computer Science

D-Index
34
Citations
9930
World Ranking
11902
National Ranking
182

Hiroshi Murase 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 Murase 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: 493 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Hiroshi Murase 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 Murase 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: 34 D-Index — 16th percentile

16% 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

  • 2006 - IEEE Fellow For contributions to image recognition and multimedia content monitoring systems.

Overview

Hiroshi Murase is affiliated with Nagoya University in Japan, with a research focus spanning Computer Science and Engineering. Their work includes significant contributions to computer vision, pattern recognition, and related artificial intelligence applications.

The main areas of study pursued by Murase cover:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Automotive Engineering
  • Social Psychology

Their research topics include:

  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Robotics and Sensor-Based Localization
  • Autonomous Vehicle Technology and Safety
  • Multimodal Machine Learning Applications

Murase has published extensively in several venues, indicating the dissemination platforms for their research as:

  • arXiv (Cornell University)
  • IEEE Access
  • Journal of the Japan Society for Precision Engineering
  • The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
  • Pattern Recognition

The following are some recent papers authored or co-authored by Murase, showing a range of topics and publication years:

  • Masked Face Recognition With Mask Transfer and Self-Attention Under the COVID-19 Pandemic, 2022, IEEE Access
  • Imageability- and Length-Controllable Image Captioning, 2021, IEEE Access
  • Estimating the imageability of words by mining visual characteristics from crawled image data, 2020, Multimedia Tools and Applications
  • Semantic Localization Considering Uncertainty of Object Recognition, 2020, IEEE Robotics and Automation Letters
  • Implicit Interaction with an Autonomous Personal Mobility Vehicle: Relations of Pedestrians' Gaze Behavior with Situation Awareness and Perceived Risks, 2022, International Journal of Human-Computer Interaction

Frequent collaborators with Murase include:

  • Daisuke Deguchi
  • Yasutomo Kawanishi
  • Takatsugu Hirayama
  • Ichiro Ide
  • Jialei Chen

Murase's contributions extend to various interdisciplinary topics connecting engineering and social aspects, notably touching upon areas such as autonomous vehicles and human-computer interaction within their research corpus.

Among distinguished recognitions, Murase was named an IEEE Fellow in 2006 for contributions to image recognition and multimedia content monitoring systems.

Best Publications

  • Visual learning and recognition of 3-D objects from appearance

    Hiroshi Murase;Shree K. Nayar

  • Moving object recognition in eigenspace representation: gait analysis and lip reading

    Hiroshi Murase;Rie Sakai

  • Subspace methods for robot vision

    S.K. Nayar;S.A. Nene;H. Murase

  • Real-time 100 object recognition system

    S.K. Nayar;S.A. Nene;H. Murase

  • A quick search method for audio and video signals based on histogram pruning

    K. Kashino;T. Kurozumi;H. Murase

  • Illumination planning for object recognition using parametric eigenspaces

    H. Murase;S.K. Nayar

  • Rainy weather recognition from in-vehicle camera images for driver assistance

    H. Kurihata;T. Takahashi;I. Ide;Y. Mekada

  • Learning and recognition of 3D objects from appearance

    H. Murase;S.K. Nayar

  • Parametric Feature Detection

    Simon Baker;Shree K. Nayar;Hiroshi Murase

  • Surface shape reconstruction of a nonrigid transport object using refraction and motion

    H. Murase

  • Learning, positioning, and tracking visual appearance

    S.K. Nayar;H. Murase;S.A. Nene

  • On-line handwriting recognition

    T. Wakahara;H. Murase;K. Odaka

  • Estimation of fast transient overvoltage in gas-insulated substation

    S. Yanabu;H. Murase;H. Aoyagi;H. Okubo

  • Detection of 3D objects in cluttered scenes using hierarchical eigenspace

    Hiroshi Murase;Shree K. Nayar

  • A sound source identification system for ensemble music based on template adaptation and music stream extraction

    Kunio Kashino;Hiroshi Murase

  • Time-series active search for quick retrieval of audio and video

    K. Kashino;G. Smith;H. Murase

  • Focused color intersection with efficient searching for object extraction

    Vasudevan V. Vinod;Hiroshi Murase

  • Quick audio retrieval using active search

    G. Smith;H. Murase;K. Kashino

  • Parametric feature detection

    S.K. Nayar;S. Baker;H. Murase

  • Very quick audio searching: introducing global pruning to the Time-Series Active Search

    A. Kimura;K. Kashino;T. Kurozumi;H. Murase

  • Moving camera background-subtraction for obstacle detection on railway tracks

    Hiroki Mukojima;Daisuke Deguchi;Yasutomo Kawanishi;Ichiro Ide

Frequent Co-Authors

Shree K. Nayar
Shree K. Nayar Columbia University
Norihiro Hagita
Norihiro Hagita Advanced Telecommunications Research Institute International
Kensaku Mori
Kensaku Mori Nagoya University
Masaki Mori
Masaki Mori Kyushu University
Shihong Lao
Shihong Lao SenseTime
Shin'ichi Satoh
Shin'ichi Satoh National Institute of Informatics
Shigemitsu Okabe
Shigemitsu Okabe TEPCO (Japan)
Simon Baker
Simon Baker Microsoft (United States)
Masaru Ishii
Masaru Ishii Osaka University
Hideo Saito
Hideo Saito Keio University

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