World's Best Scientists 2026 revealed!
Toshiharu Sugie

Toshiharu Sugie

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
7315
World Ranking
4642
National Ranking
183

Toshiharu Sugie publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Toshiharu Sugie sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 418 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Toshiharu Sugie D-index placement in Electronics and Electrical Engineering in 2026

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

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2017 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

Toshiharu Sugie is affiliated with Kyoto University in Japan and specializes in engineering, with a primary focus on control and systems engineering. Their research spans various subfields, including electrical and electronic engineering, computer networks and communications, civil and structural engineering, and mechanical engineering.

The scientist's work concentrates on several main topics within engineering, including control systems and identification, fault detection and control systems, structural health monitoring techniques, micro and nano robotics, distributed control multi-agent systems, semiconductor materials and devices, and plasma diagnostics and applications.

Sugie has contributed to major publication venues such as IEEE Access, Transactions of the Society of Instrument and Control Engineers, arXiv (Cornell University), Foundations and Trends® in Systems and Control, and Control Theory and Technology.

They have authored and coauthored several research papers. Notable recent publications include:

  • Generalized Coordination of Multi-robot Systems (2021), Foundations and Trends® in Systems and Control
  • Multi-Robot Control Inspired by Bacterial Chemotaxis: Coverage and Rendezvous via Networking of Chemotaxis Controllers (2020), IEEE Access
  • Analysis and Design of Multi-Agent Systems in Spatial Frequency Domain: Application to Distributed Spatial Filtering in Sensor Networks (2020), IEEE Access
  • Closed-Loop Subspace Identification for Stable/ Unstable Systems Using Data Compression and Nuclear Norm Minimization (2022), IEEE Access
  • A Simple Framework for Identifying Dynamical Systems in Closed-Loop (2021), IEEE Access

The scientist frequently collaborates with other researchers in the field. Prominent coauthors include Ichiro Maruta, Kotaro Takijiri, Shinsaku Izumi, Shun-ichi Azuma, and Koichi Osuka.

Their research contributions have been recognized through awards such as being named a Fellow of the International Federation of Automatic Control (IFAC) in 2017.

Best Publications

  • Brief paper: Cooperative control for target-capturing task based on a cyclic pursuit strategy

    Tae-Hyoung Kim;Toshiharu Sugie

  • Robust PID controller tuning based on the constrained particle swarm optimization

    Tae-Hyoung Kim;Ichiro Maruta;Toshiharu Sugie

  • Canonical transformation and stabilization of generalized Hamiltonian systems

    Kenji Fujimoto;Toshiharu Sugie

  • An iterative learning control law for dynamical systems

    Toshiharu Sugie;Toshiro Ono

  • Trajectory tracking control of port-controlled Hamiltonian systems via generalized canonical transformations

    Kenji Fujimoto;Kazunori Sakurama;Toshiharu Sugie

  • Dynamic hybrid position/force control of robot manipulators. Controller design and experiment.

    Tsuneo Yoshikawa;Toshiharu Sugie;Masaki Tanaka

  • Brief paper: Adaptive model predictive control for a class of constrained linear systems based on the comparison model

    Hiroaki Fukushima;Tae-Hyoung Kim;Toshiharu Sugie

  • Optimal dynamic quantizers for discrete-valued input control

    Shun-ichi Azuma;Toshiharu Sugie

  • General solution of robust tracking problem in two-degree-of-freedom control systems

    T. Sugie;T. Yoshikawa

  • Synthesis of Optimal Dynamic Quantizers for Discrete-Valued Input Control

    S.-i. Azuma;T. Sugie

  • Output feedback model predictive control for LPV systems based on quasi-min-max algorithm

    Jee-Hun Park;Tae-Hyoung Kim;Toshiharu Sugie

  • Brief paper: Fixed-structure H∞ controller synthesis: A meta-heuristic approach using simple constrained particle swarm optimization

    Ichiro Maruta;Tae-Hyoung Kim;Toshiharu Sugie

  • Iterative feedback tuning of controllers for a two-mass-spring system with friction

    K. Hamamoto;T. Fukuda;T. Sugie

  • H ∞ control problem with jΩ-axis zeros

    Shinji Hara;Toshiharu Sugie;Ryou Kondo

  • Distributed Controllers for Multi-Agent Coordination Via Gradient-Flow Approach

    Kazunori Sakurama;Shun-ichi Azuma;Toshiharu Sugie

  • Independent parameterization of two-degree-of-freedom compensators in general robust tracking systems

    S. Hara;T. Sugie

  • Iterative learning control of Hamiltonian systems: I/O based optimal control approach

    K. Fujimoto;T. Sugie

  • Brief An iterative learning control algorithm within prescribed input-output subspace

    Kenichi Hamamoto;Toshiharu Sugie

  • Broadcast control of multi-agent systems

    Shun-Ichi Azuma;Ryota Yoshimura;Toshiharu Sugie

  • Iterative identification method for linear continuous-time systems

    M.C. Campi;T. Sugie;F. Sakai

  • On iterative learning control

    T. Sugie

Frequent Co-Authors

Tsuneo Yoshikawa
Tsuneo Yoshikawa Ritsumeikan University
Shinji Hara
Shinji Hara University of Tokyo
Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Hiroshi Fujimoto
Hiroshi Fujimoto University of Tokyo
Marco C. Campi
Marco C. Campi University of Brescia
Mathukumalli Vidyasagar
Mathukumalli Vidyasagar Indian Institute of Technology Hyderabad

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Related Online Degrees & Career Pathways

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