World's Best Scientists 2026 revealed!
Ryutarou Ohbuchi

Ryutarou Ohbuchi

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
40
Citations
8384
World Ranking
9181
National Ranking
129

Ryutarou Ohbuchi 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 Ryutarou Ohbuchi 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: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Ryutarou Ohbuchi 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 Ryutarou Ohbuchi 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: 40 D-Index — 37th percentile

37% 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

Ryutarou Ohbuchi is affiliated with the University of Yamanashi in Japan. Their research primarily spans the fields of Computer Science and Engineering, with a focused expertise in subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Computer Graphics and Computer-Aided Design, and Geology.

Their main research topics include 3D Shape Modeling and Analysis, Advanced Image and Video Retrieval Techniques, Image Processing and 3D Reconstruction, Robotics and Sensor-Based Localization, Computer Graphics and Visualization Techniques, Advanced Neural Network Applications, and Video Surveillance and Tracking Methods.

Ryutarou Ohbuchi has contributed publications to several academic venues. Notable frequent publication venues consist of:

  • IEEE Access
  • arXiv (Cornell University)
  • Scientific Programming
  • The Visual Computer
  • Computer Vision and Image Understanding

Recent papers authored or co-authored by Ryutarou Ohbuchi include:

  • Scale Adaptive Feature Pyramid Networks for 2D Object Detection, 2020, Scientific Programming
  • Transcoding across 3D shape representations for unsupervised learning of 3D shape feature, 2020, Pattern Recognition Letters
  • Hyperplane patch mixing-and-folding decoder and weighted chamfer distance loss for 3D point set reconstruction, 2022, The Visual Computer
  • Self-supervised learning of rotation-invariant 3D point set features using transformer and its self-distillation, 2024, Computer Vision and Image Understanding
  • Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3D Point Set Segmentation, 2020, IEEE Access

Throughout their career, Ryutarou Ohbuchi has collaborated frequently with several co-authors, including:

  • Takahiko Furuya
  • Zhenzhong Kuang
  • Zhoujie Chen
  • Lifei He
  • Ming Jiang

Best Publications

  • Merging virtual objects with the real world: seeing ultrasound imagery within the patient

    Michael Bajura;Henry Fuchs;Ryutarou Ohbuchi

  • Shape-similarity search of 3D models by using enhanced shape functions

    Ryutarou Ohbuchi;Takahiro Minamitani;Tsuyoshi Takei

  • Watermarking three-dimensional polygonal models through geometric and topological modifications

    R. Ohbuchi;H. Masuda;M. Aono

  • Watermaking three-dimensional polygonal models

    Ryutarou Ohbuchi;Hiroshi Masuda;Masaki Aono

  • Salient local visual features for shape-based 3D model retrieval

    R. Ohbuchi;K. Osada;T. Furuya;T. Banno

  • A Frequency‐Domain Approach to Watermarking 3D Shapes

    Ryutarou Ohbuchi;Akio Mukaiyama;Shigeo Takahashi

  • Watermarking 3D polygonal meshes in the mesh spectral domain

    Ryutarou Ohbuchi;Shigeo Takahashi;Takahiko Miyazawa;Akio Mukaiyama

  • Robust watermarking of vector digital maps

    R. Ohbuchi;H. Ueda;S. Endoh

  • A comparison of methods for non-rigid 3D shape retrieval

    Zhouhui Lian;Afzal Godil;Benjamin Bustos;Mohamed Daoudi

  • Shape-similarity search of three-dimensional models using parameterized statistics

    R. Ohbuchi;T. Otagiri;M. Ibato;T. Takei

  • SHREC'11 track: shape retrieval on non-rigid 3D watertight meshes

    Z. Lian;A. Godil;B. Bustos;M. Daoudi

  • Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features

    Takahiko Furuya;Ryutarou Ohbuchi

  • SHREC'10 track: non-rigid 3D shape retrieval

    Z. Lian;A. Godil;T. Fabry;T. Furuya

  • A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

    Bo Li;Yijuan Lu;Chunyuan Li;Afzal Godil

  • A comparison of methods for sketch-based 3D shape retrieval

    Bo Li;Bo Li;Yijuan Lu;Afzal Godil;Tobias Schreck

  • SHREC'17 Track Large-Scale 3D Shape Retrieval From Shapenet Core55

    Manolis Savva;Fisher Yu;Hao Su;Asako Kanezaki

  • Retrieving 3D shapes based on their appearance

    Ryutarou Ohbuchi;Masatoshi Nakazawa;Tsuyoshi Takei

  • Incremental Volume Reconstruction and Rendering for 3D Ultrasound Imaging

    Ryutarou Ohbuchi;David Chen;Henry Fuchs

  • Watermarking 2D vector maps in the mesh-spectral domain

    R. Ohbuchi;H. Ueda;S. Endoh

  • Merging Virtual Objects with the Real World

    Unknown

  • Case study: observing a volume rendered fetus within a pregnant patient

    Andrei State;David T. Chen;Chris Tector;Andrew Brandt

Frequent Co-Authors

Tobias Schreck
Tobias Schreck Graz University of Technology
Yijuan Lu
Yijuan Lu Texas State University
Petros Daras
Petros Daras Information Technologies Institute, Greece
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Chunyuan Li
Chunyuan Li Microsoft (United States)
Paul Suetens
Paul Suetens KU Leuven
Paul L. Rosin
Paul L. Rosin Cardiff University
Fatih Porikli
Fatih Porikli Australian National University
Martin Reuter
Martin Reuter University of Bonn

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