World's Best Scientists 2026 revealed!
Kiyoharu Aizawa

Kiyoharu Aizawa

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
13443
World Ranking
3632
National Ranking
34

Kiyoharu Aizawa 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 Kiyoharu Aizawa 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: 785 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Kiyoharu Aizawa 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 Kiyoharu Aizawa 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: 58 D-Index — 75th percentile

75% 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
  • 2016 - IEEE Fellow For contributions to model-based coding and multimedia lifelogging

Overview

Kiyoharu Aizawa is affiliated with the University of Tokyo in Japan. Their scholarly work primarily falls within the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Aerospace Engineering, and Electrical and Electronic Engineering.

Their research encompasses a range of topics with notable frequency in Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Advanced Image Processing Techniques, Advanced Vision and Imaging, Multimodal Machine Learning Applications, Handwritten Text Recognition Techniques, and Video Analysis and Summarization.

Selected recent papers authored by Kiyoharu Aizawa cover various aspects of computer vision, machine learning, and multimedia:

  • "Distance Surface for Event-Based Optical Flow," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Self-Labeling Framework for Novel Category Discovery over Domains," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Universal Deep Image Compression via Content-Adaptive Optimization with Adapters," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning," 2023, arXiv (Cornell University)
  • "Recipe-oriented Food Logging for Nutritional Management," 2022, Proceedings of the 30th ACM International Conference on Multimedia

Frequent co-authors include:

  • Go Irie
  • Satoshi Ikehata
  • Atsuyuki Miyai
  • Qing Yu
  • Koki Tsubota

Publication venues where Kiyoharu Aizawa regularly contributes include:

  • arXiv (Cornell University)
  • IEICE Transactions on Information and Systems
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Access

Kiyoharu Aizawa was awarded the IEEE Fellow distinction in 2016 for contributions to model-based coding and multimedia lifelogging.

Best Publications

  • Sketch-based manga retrieval using manga109 dataset

    Yusuke Matsui;Kota Ito;Yuji Aramaki;Toshihiko Yamasaki

  • Joint Optimization Framework for Learning with Noisy Labels

    Daiki Tanaka;Daiki Ikami;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation

    Naoto Inoue;Ryosuke Furuta;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Model-based analysis synthesis image coding (MBASIC) system for a person's face

    Kiyoharu Aizawa;Hiroshi Harashima;Takahiro Saito

  • Proceedings of the 20th ACM international conference on Multimedia

    Noboru Babaguchi;Kiyoharu Aizawa;John Smith;Shin'ichi Satoh

  • Model-based image coding advanced video coding techniques for very low bit-rate applications

    K. Aizawa;T.S. Huang

  • Food Detection and Recognition Using Convolutional Neural Network

    Hokuto Kagaya;Kiyoharu Aizawa;Makoto Ogawa

  • Analysis and synthesis of facial image sequences in model-based image coding

    Chang Seek Choi;K. Aizawa;H. Harashima;T. Takebe

  • Efficient retrieval of life log based on context and content

    Kiyoharu Aizawa;Datchakorn Tancharoen;Shinya Kawasaki;Toshihiko Yamasaki

  • Robust photometric stereo using sparse regression

    Satoshi Ikehata;David Wipf;Yasuyuki Matsushita;Kiyoharu Aizawa

  • Signal-processing based method for acquiring very high resolution images with multiple cameras and its theoretical analysis

    T. Komatsu;K. Aizawa;T. Igarashi;T. Saito

  • Advances in Multimedia Information Processing - Pcm 2004

    Kiyoharu Aizawa;Yuichi Nakamura;Shin’ichi Satoh

  • Building a Manga Dataset “Manga109” With Annotations for Multimedia Applications

    Kiyoharu Aizawa;Azuma Fujimoto;Atsushi Otsubo;Toru Ogawa

  • Manga109 dataset and creation of metadata

    Azuma Fujimoto;Toru Ogawa;Kazuyoshi Yamamoto;Yusuke Matsui

  • Summarizing wearable video

    K. Aizawa;K. Ishijima;M. Shiina

  • Context-based video retrieval system for the life-log applications

    Tetsuro Hori;Kiyoharu Aizawa

  • Food Balance Estimation by Using Personal Dietary Tendencies in a Multimedia Food Log

    Kiyoharu Aizawa;Yuto Maruyama;He Li;Chamin Morikawa

  • Photometric Stereo Using Constrained Bivariate Regression for General Isotropic Surfaces

    Satoshi Ikehata;Kiyoharu Aizawa

  • Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy

    Qing Yu;Kiyoharu Aizawa

  • Very high resolution imaging scheme with multiple different-aperture cameras

    Takashi Komatsu;Toru Igarashi;Kiyoharu Aizawa;Takahiro Saito

  • Reconstructing Dense Light Field From Array of Multifocus Images for Novel View Synthesis

    A. Kubota;K. Aizawa;T. Chen

  • Multi-task Curriculum Framework for Open-Set Semi-supervised Learning

    Qing Yu;Daiki Ikami;Daiki Ikami;Go Irie;Kiyoharu Aizawa

Frequent Co-Authors

Toshihiko Yamasaki
Toshihiko Yamasaki University of Tokyo
Nicu Sebe
Nicu Sebe University of Trento
Yi Yu
Yi Yu Hiroshima University
Tsuhan Chen
Tsuhan Chen Cornell University
Danushka Bollegala
Danushka Bollegala University of Liverpool
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Junjun Jiang
Junjun Jiang Harbin Institute of Technology
Xing Xie
Xing Xie Microsoft Research Asia (China)
Marcus Magnor
Marcus Magnor Technische Universität Braunschweig
Helmut Prendinger
Helmut Prendinger National Institute of Informatics

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering a future in Computer Science? There are a variety of online programs and educational paths to fit your needs and ambitions. If you’re looking for quick degrees that pay well, some computer science options can launch your career faster and help you start earning sooner.

For those interested in cutting-edge fields, pursuing online degrees in ai can open doors to roles in automation, robotics, and data science. These specialized degrees provide flexibility and can be more affordable when taken online.

If you are still exploring your options, consider reviewing the college programs that offer the best long-term value. Many institutions now provide fully online versions of their most in-demand majors.

Looking to advance your qualifications without a heavy workload? Research easy masters degrees online that emphasize accessibility and flexibility, making it easier to balance studies with work or family commitments.

Best Scientists Citing Kiyoharu Aizawa

Trending Scientists

Recently Published Articles