World's Best Scientists 2026 revealed!
Takashi Hiyama

Takashi Hiyama

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
7158
World Ranking
4650
National Ranking
184

Takashi Hiyama 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 Takashi Hiyama 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: 277 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Takashi Hiyama 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 Takashi Hiyama 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.

Overview

Takashi Hiyama is affiliated with Kumamoto University in Japan, specializing in Engineering with a primary focus on Electrical and Electronic Engineering as well as Aerospace Engineering. Their research integrates concepts from multiple subfields such as Computer Science Applications, Atmospheric Science, and Computational Mechanics.

The scientist's work covers a range of topics including:

  • Engineering and Technology Innovations
  • Aerospace Engineering and Energy Systems
  • IoT-based Control Systems
  • Arctic and Antarctic ice dynamics
  • Computational Fluid Dynamics and Aerodynamics
  • Electric Power System Optimization
  • Energy Load and Power Forecasting

Key frequent co-authors associated with Takashi Hiyama include:

  • Arif Nur Afandi
  • Adhi Kusmantoro
  • Irham Fadlika
  • Aripriharta Aripriharta
  • Yuni Rahmawati

The scientist has published several papers across various venues, notably:

  • "Wind gradient impact on the potential wind energy profile based on the ground launch" (2020) in AIP conference proceedings
  • "Controlling Effect of HSABC Algorithm on the Unit Commitment of Power System Operation" (2021) in Frontier Energy System and Power Engineering
  • "Energy Mixing Optimization Using Artificial Salmon Tracking Algorithm Based on Renewable Energy Penetration" (2023) in International Journal on Electrical Engineering and Informatics
  • "Hybrid Water Feedback Solutions Using Internet of Thing (IoT) Enabled Water Pumps Powered by Solar Panels" (2023) in Scientific Journal of Informatics
  • "The downstream speed estimation of the wind farm energy harvesting considering a random surface roughness" (2020) in AIP conference proceedings

Frequent publication venues for Takashi Hiyama are:

  • AIP conference proceedings
  • Frontier Energy System and Power Engineering
  • Scientific Journal of Informatics
  • International Journal on Electrical Engineering and Informatics
  • Journal of Soft Computing Exploration

Best Publications

  • Neural network based estimation of maximum power generation from PV module using environmental information

    T. Hiyama;K. Kitabayashi

  • Intelligent Automatic Generation Control

    Hassan Bevrani;Takashi Hiyama

  • Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control

    T. Hiyama;S. Kouzuma;T. Imakubo

  • Artificial neural network-polar coordinated fuzzy controller based maximum power point tracking control under partially shaded conditions

    Syafaruddin;E. Karatepe;T. Hiyama

  • Predicting remaining useful life of rotating machinery based artificial neural network

    Abd Kadir Mahamad;Sharifah Saon;Takashi Hiyama

  • Decentralized model predictive based load frequency control in an interconnected power system

    T.H. Mohamed;H. Bevrani;A.A. Hassan;T. Hiyama

  • Evaluation of neural network based real time maximum power tracking controller for PV system

    T. Hiyama;S. Kouzuma;T. Imakubo;T.H. Ortmeyer

  • Robust decentralised PI based LFC design for time delay power systems

    Hassan Bevrani;Takashi Hiyama

  • Model predictive based load frequency control_design concerning wind turbines

    Tarek Hassan Mohamed;Jorge Morel;Hassan Bevrani;Takashi Hiyama

  • On Load–Frequency Regulation With Time Delays: Design and Real-Time Implementation

    H. Bevrani;T. Hiyama

  • Application of fuzzy logic control to a manipulator

    C.M. Lim;T. Hiyama

  • Voltage based power compensation system for photovoltaic generation system under partially shaded insolation conditions

    Engin Karatepe;Takashi Hiyama;Mutlu Boztepe;Metin Çolak

  • Fuzzy logic control scheme for on-line stabilization of multi-machine power system

    Takashi Hiyama;Takeshi Sameshima

  • Controlling of artificial neural network for fault diagnosis of photovoltaic array

    Syafaruddin;E. Karatepe;T. Hiyama

  • Rule-based stabilizer for multi-machine power system

    T. Hiyama

  • Robust PID based power system stabiliser: Design and real-time implementation

    Hassan Bevrani;Takashi Hiyama;Hossein Bevrani

  • Polar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic system

    Syafaruddin;Engin Karatepe;Takashi Hiyama

  • Robustness of fuzzy logic power system stabilizers applied to multimachine power system

    T. Hiyama

  • Real time control of micro-machine system using micro-computer based fuzzy logic power system stabilizer

    T. Hiyama

  • Performance enhancement of photovoltaic array through string and central based MPPT system under non-uniform irradiance conditions

    Syafaruddin;Engin Karatepe;Takashi Hiyama

Frequent Co-Authors

Hassan Bevrani
Hassan Bevrani University of Kurdistan
Kevin Tomsovic
Kevin Tomsovic University of Tennessee at Knoxville
Mohammad Teshnehlab
Mohammad Teshnehlab K.N.Toosi University of Technology

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