World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6125
World Ranking
11589
National Ranking
174

Jun Miura 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 Jun Miura 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: 376 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Jun Miura 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 Jun Miura 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Jun Miura is affiliated with the Toyohashi University of Technology in Japan. Their research primarily spans the fields of computer science and engineering, with a focus on several specialized subfields and topics.

The main fields of study for Jun Miura include:

  • Computer Science
  • Engineering

Within these areas, notable subfields of study are:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Control and Systems Engineering
  • Plant Science
  • Artificial Intelligence

Key topics addressed in their research comprise:

  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Robotics and Automated Systems
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Smart Agriculture and AI
  • 3D Surveying and Cultural Heritage

Jun Miura has contributed numerous research papers published across several venues. Frequent publication forums include:

  • The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
  • IEEE Access
  • arXiv (Cornell University)
  • Advanced Robotics
  • IEEE Robotics and Automation Letters

Recent published papers feature:

  • "RDS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods," 2021, IEEE Access
  • "RDMO-SLAM: Real-Time Visual SLAM for Dynamic Environments Using Semantic Label Prediction With Optical Flow," 2021, IEEE Access
  • "End-to-End Autonomous Driving With Semantic Depth Cloud Mapping and Multi-Agent," 2022, IEEE Transactions on Intelligent Vehicles
  • "Interactive 3D Graph SLAM for Map Correction," 2020, IEEE Robotics and Automation Letters
  • "Ontology-based knowledge management with verbal interaction for command interpretation and execution by home service robots," 2021, Robotics and Autonomous Systems

The scientist's research collaborations include frequent co-authors such as:

  • Hiroaki Masuzawa
  • Shigemichi Matsuzaki
  • Oskar Natan
  • Kotaro Hayashi
  • Kenji Koide

Best Publications

  • An active vision system for real-time traffic sign recognition

    J. Miura;T. Kanda;Y. Shirai

  • A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement:

    Kenji Koide;Kenji Koide;Jun Miura;Emanuele Menegatti

  • An Active Vision System for On-Line Traffic Sign Recognition

    Jun Miura;Tsuyoshi Kanda;Shusaku Nakatani;Yoshiaki Shirai

  • RDS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods

    Yubao Liu;Jun Miura

  • Pedestrian recognition using high-definition LIDAR

    Kiyosumi Kidono;Takeo Miyasaka;Akihiro Watanabe;Takashi Naito

  • Hand gesture estimation and model refinement using monocular camera-ambiguity limitation by inequality constraints

    N. Shimada;Y. Shirai;Y. Kuno;J. Miura

  • Object Tracking in Cluttered Background Based on Optical Flow and Edges

    Yasushi Mae;Yoshiaki Shirai;Jun Miura;Yoshinori Kuno

  • Autonomous visual navigation of a mobile robot using a human-guided experience

    Kiyosumi Kidono;Jun Miura;Yoshiaki Shirai

  • A View-Based Outdoor Navigation Using Object Recognition Robust to Changes of Weather and Seasons

    Hiroaki Katsura;Jun Miura;Michael Hild;Yoshiaki Shirai

  • Tracking players and estimation of the 3D position of a ball in soccer games

    Y. Ohno;J. Miura;Y. Shirai

  • Robust Stereo-Based Person Detection and Tracking for a Person Following Robot

    Junji Satake;Jun Miura

  • Mobile robot map generation by integrating omnidirectional stereo and laser range finder

    J. Miura;Y. Negishi;Y. Shirai

  • Optical flow-based person tracking by multiple cameras

    H. Tsutsui;J. Miura;Y. Shirai

  • Real-time omnidirectional stereo for obstacle detection and tracking in dynamic environments

    H. Koyasu;J. Miura;Y. Shirai

  • Task-oriented generation of visual sensing strategies in assembly tasks

    J. Miura;K. Ikeuchi

  • Recognizing Moving Obstacles for Robot Navigation using Real-time Omnidirectional Stereo Vision

    Hiroshi Koyasu;Jun Miura;Yoshiaki Shirai

  • Tracking players and a ball in video image sequence and estimating camera parameters for 3D interpretation of soccer games

    A. Yamada;Y. Shirai;J. Miura

  • Realtime multiple object tracking based on optical flows

    S. Yamamoto;Y. Mae;Y. Shirai;J. Miura

  • Identification of a specific person using color, height, and gait features for a person following robot

    K. Koide;J. Miura

  • Object recognition supported by user interaction for service robots

    Y. Makihara;M. Takizawa;Y. Shirai;J. Miura

Frequent Co-Authors

Yoshiaki Shirai
Yoshiaki Shirai Ritsumeikan University
Yoshinori Kuno
Yoshinori Kuno Saitama University
Katsushi Ikeuchi
Katsushi Ikeuchi Microsoft (United States)
Yasushi Makihara
Yasushi Makihara Osaka University
Isao Shimoyama
Isao Shimoyama Toyama Prefectural University
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Sadao Kawamura
Sadao Kawamura Ritsumeikan University
Minoru Asada
Minoru Asada Osaka University
Yasushi Yagi
Yasushi Yagi Osaka University
Hiroshi Ishiguro
Hiroshi Ishiguro Osaka University

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