World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8656
World Ranking
7929
National Ranking
108

Yoshinobu Sato 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 Yoshinobu Sato 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: 354 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Yoshinobu Sato 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 Yoshinobu Sato 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Yoshinobu Sato is affiliated with the Nara Institute of Science and Technology in Japan. Their research primarily centers around medicine, with a particular emphasis on surgery, biomedical engineering, radiology, nuclear medicine and imaging, orthopedics and sports medicine, and physiology.

Their work addresses a range of topics including advanced X-ray and CT imaging, bone health and osteoporosis research, radiomics and machine learning in medical imaging, medical imaging techniques and applications, body composition measurement techniques, orthopaedic implants and arthroplasty, and medical imaging and analysis.

Yoshinobu Sato has contributed multiple papers to various publication venues. Notable recent papers include:

  • Automated Surgical Instrument Detection from Laparoscopic Gastrectomy Video Images Using an Open Source Convolutional Neural Network Platform, 2020, Journal of the American College of Surgeons
  • 2D-3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks, 2021, Scientific Reports
  • Three-dimensional reconstructions of haustoria in two parasitic plant species in the Orobanchaceae, 2021, PLANT PHYSIOLOGY
  • Development of an open-source measurement system to assess the areal bone mineral density of the proximal femur from clinical CT images, 2022, Archives of Osteoporosis
  • Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction, 2020, Journal of Signal Processing Systems

Their frequent coauthors include Yoshito Otake, Keisuke Uemura, Mazen Soufi, Nobuhiko Sugano, and Masaki Takao.The collaboration with these researchers highlights an interdisciplinary approach to medical imaging and surgical applications.

Key publication venues where Yoshinobu Sato has contributed multiple works include:

  • arXiv (Cornell University)
  • International Journal of Computer Assisted Radiology and Surgery
  • Scientific Reports
  • Journal of Japan Society of Computer Aided Surgery
  • Archives of Osteoporosis

Best Publications

  • Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images.

    Yoshinobu Sato;Shin Nakajima;Nobuyuki Shiraga;Hideki Atsumi

  • Tissue classification based on 3D local intensity structures for volume rendering

    Y. Sato;C. Westin;A. Bhalerao;S. Nakajima

  • 3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images

    Yoshinobu Sato;Shin Nakajima;Hideki Atsumi;Thomas Koller

  • Image guidance of breast cancer surgery using 3-D ultrasound images and augmented reality visualization

    Y. Sato;M. Nakamoto;Y. Tamaki;T. Sasama

  • Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN

    Yuta Hiasa;Yoshito Otake;Masaki Takao;Takumi Matsuoka

  • Mid-term results of cementless total hip replacement using a ceramic-on-ceramic bearing with and without computer navigation

    N. Sugano;T. Nishii;H. Miki;H. Yoshikawa

  • Abdominal multi-organ segmentation from CT images using conditional shape–location and unsupervised intensity priors

    Toshiyuki Okada;Marius George Linguraru;Masatoshi Hori;Ronald M. Summers

  • Local maximum intensity projection (LMIP): a new rendering method for vascular visualization.

    Yoshinobu Sato;Nobuyuki Shiraga;Shin Nakajima;Shinichi Tamura

  • Automated segmentation of the liver from 3D CT images using probabilistic atlas and multilevel statistical shape model.

    Toshiyuki Okada;Ryuji Shimada;Masatoshi Hori;Masahiko Nakamoto

  • Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling

    Yuta Hiasa;Yoshito Otake;Masaki Takao;Takeshi Ogawa

  • Automated segmentation of acetabulum and femoral head from 3-d CT images

    R.A. Zoroofi;Y. Sato;T. Sasama;T. Nishii

  • Anatomic hip range of motion after implantation during total hip arthroplasty as measured by a navigation system.

    Hidenobu Miki;Wataru Yamanashi;Takashi Nishii;Yoshinobu Sato

  • Accuracy evaluation of surface‐based registration methods in a computer navigation system for hip surgery performed through a posterolateral approach

    Nobuhiko Sugano;Toshihiko Sasama;Yoshinobu Sato;Yoshikazu Nakajima

  • Construction of Hierarchical Multi-Organ Statistical Atlases and Their Application to Multi-Organ Segmentation from CT Images

    Toshiyuki Okada;Keita Yokota;Masatoshi Hori;Masahiko Nakamoto

  • Three-dimensional distribution of acetabular cartilage thickness in patients with hip dysplasia: a fully automated computational analysis of MR imaging.

    Takashi Nishii;Nobuhiko Sugano;Yoshinobu Sato;Hisashi Tanaka

  • Automatic extraction and measurement of leukocyte motion in microvessels using spatiotemporal image analysis

    Y. Sato;Jian Chen;R.A. Zoroofi;N. Harada

  • Orientation space filtering for multiple orientation line segmentation

    Jian Chen;Y. Sato;S. Tamura

  • Intraoperative Magnetic Tracker Calibration Using a Magneto-Optic Hybrid Tracker for 3-D Ultrasound-Based Navigation in Laparoscopic Surgery

    M. Nakamoto;K. Nakada;Y. Sato;K. Konishi

  • A viewpoint determination system for stenosis diagnosis and quantification in coronary angiographic image acquisition

    Y. Sato;T. Araki;M. Hanayama;H. Naito

  • Automated segmentation of the liver from 3D CT images using probabilistic atlas and multi-level statistical shape model

    Toshiyuki Okada;Ryuji Shimada;Yoshinobu Sato;Masatoshi Hori

  • Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size

    Yuta Hiasa;Yoshito Otake;Masaki Takao;Takumi Matsuoka

Frequent Co-Authors

Hideki Yoshikawa
Hideki Yoshikawa Osaka University
Takahiro Ochi
Takahiro Ochi Osaka University
Hironobu Nakamura
Hironobu Nakamura Osaka University
Yen-Wei Chen
Yen-Wei Chen Ritsumeikan University
Inderbir S. Gill
Inderbir S. Gill University of Southern California
Takamichi Murakami
Takamichi Murakami Kobe University
Takeshi Johkoh
Takeshi Johkoh Osaka University
Kensaku Mori
Kensaku Mori Nagoya University
Shinzaburo Noguchi
Shinzaburo Noguchi Osaka University
Nassir Navab
Nassir Navab Technical University of Munich

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

Exploring Computer Science in the USA opens the door to diverse academic and career opportunities. Many students look for easy degrees that pay well to efficiently launch rewarding careers. Fields like data science, IT, and web development often provide fast entry into the workforce with high salary potential.

For those considering advanced study, pursuing the best online masters in artificial intelligence can lead to roles in cutting-edge industries like robotics, machine learning, and automation. Such online programs offer flexibility without sacrificing academic quality.

A Computer Science background is consistently featured among the top 10 best majors for the future, ensuring graduates remain in high demand as technology evolves. For those prioritizing convenience, there are also options for the easiest online masters degree programs, which help balance educational goals with work or family commitments.

Researching these pathways can help you align your educational choices with career ambitions—whether you’re aiming for innovation, job security, or a quick route to a high-paying field.

Best Scientists Citing Yoshinobu Sato

Trending Scientists

Recently Published Articles