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Tomomasa Sato

Tomomasa Sato

Tomomasa Sato publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Tomomasa Sato sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

The last bar groups every scientist with 804 publications or more.

Tomomasa Sato D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Tomomasa Sato sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

The last bar groups every scientist with 107 D-Index or more.

Overview

Tomomasa Sato is affiliated with the University of Tokyo in Japan and has contributed extensively to the fields of computer science and engineering. Their primary research areas include computer networks and communications, electrical and electronic engineering, and information systems, with additional work in computer vision and pattern recognition as well as environmental engineering.

The scientist's research topics encompass:

  • Software-Defined Networks and 5G
  • Advanced Optical Network Technologies
  • Cloud Computing and Resource Management
  • Network Traffic and Congestion Control
  • Optical Network Technologies
  • Advanced Photonic Communication Systems
  • Software System Performance and Reliability

Their publication record includes papers appearing in the following venues:

  • IEEE Transactions on Network and Service Management
  • IEICE Transactions on Communications
  • Computer Networks
  • IEEE Access
  • IEEE Sensors Journal

Notable recent papers by Tomomasa Sato include:

  • "Robust Optimization Model for Primary and Backup Resource Allocation in Cloud Providers," 2021, IEEE Transactions on Cloud Computing
  • "Multi-UAV Allocation Framework for Predictive Crime Deterrence and Data Acquisition," 2020, Internet of Things
  • "Virtual Network Function Allocation to Maximize Continuous Available Time of Service Function Chains With Availability Schedule," 2020, IEEE Transactions on Network and Service Management
  • "Joint Inter-Core Crosstalk- and Intra-Core Impairment-Aware Lightpath Provisioning Model in Space-Division Multiplexing Elastic Optical Networks," 2022, IEEE Transactions on Network and Service Management
  • "Prioritized Transmission Control of Point Cloud Data Obtained by LIDAR Devices," 2020, IEEE Access

Frequent collaborators include:

  • Eiji Oki
  • Ryoichi Shinkuma
  • Fujun He
  • Bijoy Chand Chatterjee
  • Takashi Kurimoto

The distribution of publications highlights a focus on the IEEE Transactions on Network and Service Management and the IEICE Transactions on Communications, with multiple contributions also appearing in Computer Networks and IEEE Access.

Best Publications

  • Micro object handling under SEM by vision-based automatic control

    T. Kasaya;H. Miyazaki;S. Saito;T. Sato

  • Portable absolute orientation estimation device with wireless network under accelerated situation

    T. Harada;H. Uchino;T. Mori;T. Sato

  • Development of a Tiny Orientation Estimation Device to Operate under Motion and Magnetic Disturbance

    Tatsuya Harada;Taketoshi Mori;Tomomasa Sato

  • Multiple people tracking by integrating distributed floor pressure sensors and RFID system

    T. Mori;Y. Suemasu;H. Noguchi;T. Sato

  • Estimation of bed-ridden human's gross and slight movement based on pressure sensors distribution bed

    T. Harada;T. Sato;T. Mori

  • Behavior prediction based on daily-life record database in distributed sensing space

    T. Mori;A. Takada;H. Noguchi;T. Harada

  • Sensor pillow system: monitoring respiration and body movement in sleep

    T. Harada;A. Sakata;T. Mori;T. Sato

  • Pressure distribution image based human motion tracking system using skeleton and surface integration model

    T. Harada;T. Sato;T. Mori

  • Grasping by caging: A promising tool to deal with uncertainty

    Weiwei Wan;Rui Fukui;Masamichi Shimosaka;Tomomasa Sato

  • Body parts positions and posture estimation system based on pressure distribution image

    T. Harada;T. Mori;Y. Nishida;T. Yoshimi

  • Illumination setup planning for a hand-eye system based on an environmental model

    Shigeyuki Sakane;Ruprecht Niepold;Tomomasa Sato;Yoshiaki Shirai

  • Human motion tracking system based on skeleton and surface integration model using pressure sensors distribution bed

    T. Harada;T. Sato;T. Mori

  • Anomaly detection algorithm based on life pattern extraction from accumulated pyroelectric sensor data

    T. Mori;R. Urushibata;M. Shimosaka;H. Noguchi

  • Quantitative evaluation method for pose and motion similarity based on human perception

    T. Harada;S. Taoka;T. Mori;T. Sato

  • Dynamic footprint-based person recognition method using a hidden markov model and a neural network

    Jin-Woo Jung;Tomomasa Sato;Zeungnam Bien

  • A new micro-teleoperation system employing a hand-held force-feedback pencil

    T. Sato;J. Ichikawa;M. Mitsuishi;Y. Hatamura

  • A new “grasping by caging” solution by using eigen-shapes and space mapping

    Weiwei Wan;Rui Fukui;Masamichi Shimosaka;Tomomasa Sato

  • Online recognition and segmentation for time-series motion with HMM and conceptual relation of actions

    T. Mori;Y. Nejigane;M. Shimosaka;Y. Segawa

  • Cooperative manipulation with least number of robots via robust caging

    Weiwei Wan;Rui Fukui;Masamichi Shimosaka;Tomomasa Sato

  • Robust Action Recognition and Segmentation with Multi-Task Conditional Random Fields

    M. Shimosaka;T. Mori;T. Sato

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