World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
91
Citations
27015
World Ranking
587
National Ranking
314

Katsushi Ikeuchi 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 Katsushi Ikeuchi 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: 835 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Katsushi Ikeuchi 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 Katsushi Ikeuchi 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: 91 D-Index — 96th percentile

96% 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

  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For fundamental contributions to computer vision applied to robotics and man-machine interaction
  • 1998 - IEEE Fellow For contributions to the advancement of robot vision technology.

Overview

Katsushi Ikeuchi is affiliated with Microsoft in the United States. Their work primarily centers on computer science and engineering, with a substantial focus on subfields such as computer vision and pattern recognition, artificial intelligence, control and systems engineering, human-computer interaction, and biomedical engineering.

Over the course of their career, Katsushi Ikeuchi has contributed to various research topics including:

  • Robot manipulation and learning
  • Multimodal machine learning applications
  • Hand gesture recognition systems
  • Human pose and action recognition
  • Reinforcement learning in robotics
  • Speech and dialogue systems
  • 3D surveying and cultural heritage

The scientist has coauthored extensively with colleagues such as Naoki Wake, Kazuhiro Sasabuchi, Jun Takamatsu, Atsushi Kanehira, and Hiroshi Kawasaki.

Katsushi Ikeuchi's frequent publication venues indicate an active presence in respected forums, including:

  • arXiv (Cornell University)
  • IEEE Access
  • 2022 IEEE/SICE International Symposium on System Integration (SII)
  • International Journal of Computer Vision
  • Zenodo (CERN European Organization for Nuclear Research)

Selected recent publications include:

  • "Semantic constraints to represent common sense required in household actions for multimodal learning-from-observation robot" (2023) published in The International Journal of Robotics Research
  • "ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application" (2023) published in IEEE Access
  • "GPT-4V(ision) for Robotics: Multimodal Task Planning From Human Demonstration" (2024) published in IEEE Robotics and Automation Letters
  • "Agent AI: Surveying the Horizons of Multimodal Interaction" (2024) published in arXiv (Cornell University)
  • "A Multimodal Learning-from-Observation Towards All-at-once Robot Teaching using Task Cohesion" (2022) presented at the 2022 IEEE/SICE International Symposium on System Integration (SII)

In terms of book publications, Katsushi Ikeuchi has contributed works published by Springer International Publishing and Morgan & Claypool Publishers. Notable titles include:

  • "Active Lighting and Its Application for Computer Vision" (2020)
  • "Learning-from-Observation 2.0" (2025)

Katsushi Ikeuchi has received recognitions such as being named a Fellow of the International Association for Pattern Recognition (IAPR) in 2020 for contributions related to computer vision applied to robotics and man-machine interaction, as well as being named an IEEE Fellow in 1998 for advances in robot vision technology.

Best Publications

  • Numerical shape from shading and occluding boundaries

    Katsushi Ikeuchi;Berthold K. P. Horn

  • Object shape and reflectance modeling from observation

    Yoichi Sato;Mark D. Wheeler;Katsushi Ikeuchi

  • Traffic monitoring and accident detection at intersections

    S. Kamijo;Y. Matsushita;K. Ikeuchi;M. Sakauchi

  • Determining surface orientations of specular surfaces by using the photometric stereo method

    Katsushi Ikeuchi

  • Determining shape and reflectance of hybrid surfaces by photometric sampling

    S.K. Nayar;K. Ikeuchi;T. Kanade

  • Acquiring a radiance distribution to superimpose virtual objects onto a real scene

    Imari Sato;Yoichi Sato;Katsushi Ikeuchi

  • Toward an assembly plan from observation. I. Task recognition with polyhedral objects

    K. Ikeuchi;T. Suehiro

  • Separating reflection components of textured surfaces using a single image

    R.T. Tan;K. Ikeuchi

  • Consensus surfaces for modeling 3D objects from multiple range images

    Mark K. Wheeler;Yoichi Sato;Katsushi Ikeuchi

  • High-resolution hyperspectral imaging via matrix factorization

    Rei Kawakami;Yasuyuki Matsushita;John Wright;Moshe Ben-Ezra

  • Principal component analysis with missing data and its application to polyhedral object modeling

    Harry Shum;Katsushi Ikeuchi;Raj Reddy

  • Shape from interreflections

    Shree K. Nayar;Katsushi Ikeuchi;Takeo Kanade

  • Temporal-color space analysis of reflection

    Yoichi Sato;Katsushi Ikeuchi

  • Automatic generation of object recognition programs

    K. Ikeuchi;T. Kanade

  • Generating whole body motions for a biped humanoid robot from captured human dances

    S. Nakaoka;A. Nakazawa;K. Yokoi;H. Hirukawa

  • Generating an interpretation tree from a CAD model for 3D-object recognition in bin-picking tasks

    Katsushi Ikeuchi

  • Transparent surface modeling from a pair of polarization images

    D. Miyazaki;M. Kagesawa;K. Ikeuchi

  • Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects

    K. Ohba;K. Ikeuchi

  • Illumination from shadows

    I. Sato;Y. Sato;K. Ikeuchi

  • Shape representation and image segmentation using deformable surfaces

    H. Delingette;M. Hebert;K. Ikeuchi

Frequent Co-Authors

Yoichi Sato
Yoichi Sato University of Tokyo
Ko Nishino
Ko Nishino Kyoto University
Martial Hebert
Martial Hebert Carnegie Mellon University
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Robby T. Tan
Robby T. Tan National University of Singapore
Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
Shree K. Nayar
Shree K. Nayar Columbia University
Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA

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