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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
16984
World Ranking
4708
National Ranking
53

Masatoshi Okutomi 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 Masatoshi Okutomi 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: 346 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Masatoshi Okutomi 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 Masatoshi Okutomi 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

Overview

Masatoshi Okutomi is affiliated with the Tokyo Institute of Technology in Japan. Their research primarily focuses on the fields of computer science and engineering, with a significant emphasis on computer vision and pattern recognition as well as related subfields.

Their work spans multiple subfields of study including aerospace engineering, media technology, artificial intelligence, and computer graphics and computer-aided design. The main topics addressed in their research encompass advanced vision and imaging, image enhancement techniques, advanced image processing techniques, optical measurement and interference techniques, robotics and sensor-based localization, image and signal denoising methods, and advanced image and video retrieval techniques.

They have contributed extensively to scholarly literature, with recent notable papers including:

  • "Long-Term Visual Localization Revisited" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM" (2022), published in 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Monochrome and Color Polarization Demosaicking Based on Intensity-Guided Residual Interpolation" (2021), published in IEEE Sensors Journal
  • "Polarimetric Multi-View Inverse Rendering" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "CNN-Based Classification of Degraded Images With Awareness of Degradation Levels" (2020), published in IEEE Transactions on Circuits and Systems for Video Technology

Frequent collaborators in their research include Yusuke Monno, Masayuki Tanaka, Sho Suzuki, Yizhou Li, and Wonjik Kim. These partnerships have resulted in a substantial number of co-authored publications.

Masatoshi Okutomi has published in various venues, with a concentration of work appearing in:

  • arXiv (Cornell University)
  • Electronic Imaging
  • Journal of Electronic Imaging
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Sensors Journal

Best Publications

  • A stereo matching algorithm with an adaptive window: theory and experiment

    T. Kanade;M. Okutomi

  • A multiple-baseline stereo

    M. Okutomi;T. Kanade

  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

    Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii

  • A locally adaptive window for signal matching

    Masatoshi Okutomi;Takeo Kanade

  • 24/7 place recognition by view synthesis

    Akihiko Torii;Relja Arandjelovic;Josef Sivic;Masatoshi Okutomi

  • Single-Image Noise Level Estimation for Blind Denoising

    Xinhao Liu;Masayuki Tanaka;Masatoshi Okutomi

  • Visual Place Recognition with Repetitive Structures

    Akihiko Torii;Josef Sivic;Toma Pajdla;Masatoshi Okutomi

  • InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

  • Revisiting the PnP Problem: A Fast, General and Optimal Solution

    Yinqiang Zheng;Yubin Kuang;Shigeki Sugimoto;Kalle Astrom

  • Visual Place Recognition with Repetitive Structures

    Akihiko Torii;Josef Sivic;Masatoshi Okutomi;Tomas Pajdla

  • Noise level estimation using weak textured patches of a single noisy image

    Xinhao Liu;Masayuki Tanaka;Masatoshi Okutomi

  • Method for creating high resolution color image, system for creating high resolution color image and program creating high resolution color image

    Masatoshi Okutomi;Tomomasa Goto

  • Practical low-rank matrix approximation under robust L 1 -norm

    Yinqiang Zheng;Guangcan Liu;Shigeki Sugimoto;Shuicheng Yan

  • Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

    Torsten Sattler;Akihiko Torii;Josef Sivic;Marc Pollefeys

  • A Practical One-Shot Multispectral Imaging System Using a Single Image Sensor

    Yusuke Monno;Sunao Kikuchi;Masayuki Tanaka;Masatoshi Okutomi

  • Residual interpolation for color image demosaicking

    Daisuke Kiku;Yusuke Monno;Masayuki Tanaka;Masatoshi Okutomi

  • Precise sub-pixel estimation on area-based matching

    M. Shimizu;M. Okutomi

  • Long-Term Visual Localization Revisited.

    Carl Toft;Will Maddern;Akihiko Torii;Lars Hammarstrand

  • Precise subpixel estimation on area‐based matching

    Masao Shimizu;Masatoshi Okutomi

  • Beyond Color Difference: Residual Interpolation for Color Image Demosaicking

    Daisuke Kiku;Yusuke Monno;Masayuki Tanaka;Masatoshi Okutomi

  • InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

  • Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

    Akihiko Torii;Hajime Taira;Josef Sivic;Marc Pollefeys

Frequent Co-Authors

Josef Sivic
Josef Sivic Czech Technical University in Prague
Tomas Pajdla
Tomas Pajdla Czech Technical University in Prague
Yinqiang Zheng
Yinqiang Zheng National Institute of Informatics
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Marc Pollefeys
Marc Pollefeys ETH Zurich
Hajime Asama
Hajime Asama University of Tokyo
Yoshizumi Miyoshi
Yoshizumi Miyoshi Nagoya University
Ryuho Kataoka
Ryuho Kataoka National Institute of Polar Research
Takuji Gotoda
Takuji Gotoda Nihon University

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