World's Best Scientists 2026 revealed!
Satoshi Matsuoka

Satoshi Matsuoka

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
66
Citations
16346
World Ranking
2341
National Ranking
13

Satoshi Matsuoka 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 Satoshi Matsuoka 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: 427 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Satoshi Matsuoka 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 Satoshi Matsuoka 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: 66 D-Index — 84th percentile

84% 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
  • 2011 - ACM Gordon Bell Prize For "Petaflop biofluidics simulations on a two million core system."
  • 2011 - ACM Fellow For contributions to the design of high-performance computers.

Overview

Satoshi Matsuoka is affiliated with RIKEN in Japan and has contributed extensively to the field of computer science. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, and Radiology, Nuclear Medicine and Imaging. The main areas of focus among their work include Parallel Computing and Optimization Techniques, Advanced Neural Network Applications, Human Pose and Action Recognition, Advanced Data Storage Technologies, Embedded Systems Design Techniques, Interconnection Networks and Systems, and Generative Adversarial Networks and Image Synthesis.

Their recent publication record includes papers such as:

  • "A Survey on Coarse-Grained Reconfigurable Architectures From a Performance Perspective" (2020, IEEE Access)
  • "The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism" (2020, IEEE Transactions on Parallel and Distributed Systems)
  • "The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism" (2020, arXiv (Cornell University))
  • "MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems" (2021, arXiv (Cornell University))
  • "Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations" (2021, arXiv (Cornell University))

Matsuoka frequently publishes in venues such as arXiv (Cornell University), IEEE Access, IEEE Transactions on Parallel and Distributed Systems, Computing in Science & Engineering, and Parallel Computing.

The scientist has collaborated regularly with several co-authors, including Mohamed Wahib, Aleksandr Drozd, Yosuke Oyama, Nikoli Dryden, and J. Balewski. These collaborations have contributed to the depth and breadth of the research output over time.

Matsuoka's work has been recognized by awards such as the ACM Gordon Bell Prize in 2011, awarded for "Petaflop biofluidics simulations on a two million core system," and the distinction of ACM Fellow in 2011 for contributions to the design of high-performance computers.

Best Publications

  • Teddy: a sketching interface for 3D freeform design

    Takeo Igarashi;Satoshi Matsuoka;Hidehiko Tanaka

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • Analysis of inheritance anomaly in object-oriented concurrent programming languages

    Satoshi Matsuoka;Akinori Yonezawa

  • ECOOP'97 - Object-Oriented Programming

    Mehmet Akşit;Satoshi Matsuoka

  • FTI: high performance fault tolerance interface for hybrid systems

    Leonardo Bautista-Gomez;Seiji Tsuboi;Dimitri Komatitsch;Franck Cappello

  • Overview of GridRPC: A Remote Procedure Call API for Grid Computing

    Keith Seymour;Hidemoto Nakada;Hidemoto Nakada;Satoshi Matsuoka;Satoshi Matsuoka;Jack Dongarra

  • Interactive beautification: a technique for rapid geometric design

    Takeo Igarashi;Satoshi Matsuoka;Sachiko Kawachiya;Hidehiko Tanaka

  • Ninf-G: A Reference Implementation of RPC-based Programming Middleware for Grid Computing

    Yoshio Tanaka;Hidemoto Nakada;Satoshi Sekiguchi;Toyotaro Suzumura

  • Physis: an implicitly parallel programming model for stencil computations on large-scale GPU-accelerated supercomputers

    Naoya Maruyama;Kento Sato;Tatsuo Nomura;Satoshi Matsuoka

  • Statistical power modeling of GPU kernels using performance counters

    Hitoshi Nagasaka;Naoya Maruyama;Akira Nukada;Toshio Endo

  • Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer

    Takashi Shimokawabe;Takayuki Aoki;Tomohiro Takaki;Toshio Endo

  • Grid Datafarm Architecture for Petascale Data Intensive Computing

    O. Tatebe;Y. Morita;S. Matsuoka;N. Soda

  • Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t.

    Anna Gladkova;Aleksandr Drozd;Satoshi Matsuoka

  • Ninf: A Network Based Information Library for Global World-Wide Computing Infrastructure

    Mitsuhisa Sato;Hidemoto Nakada;Satoshi Sekiguchi;Satoshi Matsuoka

  • Overview of a performance evaluation system for global computing scheduling algorithms

    A. Takefusa;S. Matsuoka;H. Nakada;K. Aida

  • Auto-tuning 3-D FFT library for CUDA GPUs

    Akira Nukada;Satoshi Matsuoka

  • An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code

    Takashi Shimokawabe;Takayuki Aoki;Chiashi Muroi;Junichi Ishida

  • Bandwidth intensive 3-D FFT kernel for GPUs using CUDA

    Akira Nukada;Yasuhiko Ogata;Toshio Endo;Satoshi Matsuoka

  • Interactive beautification: a technique for rapid geometric design

    Takeo Igarashi;Satoshi Matsuoka;Sachiko Kawachiya;Hidehiko Tanaka

  • Evaluating and optimizing OpenCL kernels for high performance computing with FPGAs

    Hamid Reza Zohouri;Naoya Maruyamay;Aaron Smith;Motohiko Matsuda

  • GridRPC: A Remote Procedure Call API for Grid Computing

    Keith Seymour;Hidemoto Nakada;Satoshi Matsuoka;Jack Dongarra

Frequent Co-Authors

Akinori Yonezawa
Akinori Yonezawa University of Tokyo
Tatsuo Hasegawa
Tatsuo Hasegawa University of Tokyo
Takeo Igarashi
Takeo Igarashi University of Tokyo
Pavan Balaji
Pavan Balaji Argonne National Laboratory
Franck Cappello
Franck Cappello Argonne National Laboratory
Sachio Horiuchi
Sachio Horiuchi National Institute of Advanced Industrial Science and Technology
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
William Gropp
William Gropp University of Illinois at Urbana-Champaign
Henri Casanova
Henri Casanova University of Hawaii at Manoa

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 online education is an excellent way to start or advance a career in Computer Science. Many students opt for 2 year online degrees as a stepping stone, providing a flexible and quick introduction to the field. These associate programs can lay the groundwork for further study or even lead to entry-level tech roles.

Budget is a common concern for students. If affordability is key, consider enrolling in affordable online courses. These options make it easier to pursue your education without incurring hefty student loan debt.

For those worried about past academic performance, there are several college with low gpa opportunities available online. These programs provide access to quality education and support students in building successful careers irrespective of previous grades.

Broadening your skills can also unlock new professional paths. For example, professionals with backgrounds in teaching or environmental studies can explore various jobs with elementary education and environmental science degree, ranging from education to research. This flexibility demonstrates the diverse opportunities offered by online learning in tech and beyond.

Best Scientists Citing Satoshi Matsuoka

Trending Scientists

Recently Published Articles