World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
57
Citations
10916
World Ranking
1998
National Ranking
98

Mustafizur Rahman 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 Mustafizur Rahman 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: 262 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Mustafizur Rahman 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 Mustafizur Rahman 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: 57 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Mustafizur Rahman was affiliated with Memorial University of Newfoundland in Canada. Their research primarily focused on engineering, with specific contributions across several subfields including biomedical engineering, molecular biology, industrial and manufacturing engineering, computational mechanics, and management science and operations research.

The scientist contributed to multiple research topics such as:

  • Big Data and Business Intelligence
  • Nanofluid Flow and Heat Transfer
  • Fluid Dynamics and Turbulent Flows
  • Biofuel production and bioconversion
  • Microbial Metabolic Engineering and Bioproduction
  • Nonlinear Waves and Solitons
  • Anatomy and Medical Technology

Mustafizur Rahman published in several notable venues including:

  • Biomass Conversion and Biorefinery
  • Heliyon
  • Journal of Computer and Communications
  • Environmental Technology & Innovation
  • Materials Today Proceedings

Some of the recent published papers were:

  • Numerical modeling of a MHD non-linear radiative Maxwell nano fluid with activation energy, 2024, Heliyon
  • A Comparative Study of Support Vector Machine and Artificial Neural Network for Option Price Prediction, 2021, Journal of Computer and Communications
  • NaOH pretreatment and enzymatic hydrolysis of Brassica juncea using mixture of cellulases, 2020, Environmental Technology & Innovation
  • Simultaneous fermentation of glucose and xylose by using co-culture of S. cerevisiae and a potential robust pentose fermenting fungi (Fusarium incarnatum), 2021, Biomass Conversion and Biorefinery
  • Visible light photocatalytic degradation of organic pollutants in industrial wastewater by engineered TiO2 nanoparticles, 2023, Biomass Conversion and Biorefinery

Their frequent collaborators included:

  • Lasker Ershad Ali
  • Abdullah Al Mahmud Ashik
  • Md. Mokhlesur Rahman
  • Emran Hossain
  • Safiul Islam

Best Publications

  • Performances of novel fuzzy logic based indirect vector control for induction motor drive

    M.N. Uddin;T.S. Radwan;M.A. Rahman

  • An analysis of bearingless AC motors

    A. Chiba;T. Deido;T. Fukao;M.A. Rahman

  • A direct torque controller for permanent magnet synchronous motor drives

    L. Zhong;M.F. Rahman;W.Y. Hu;K.W. Lim

  • Nonlinear control of interior permanent-magnet synchronous motor

    M.A. Rahman;D.M. Vilathgamuwa;M.N. Uddin;King-Jet Tseng

  • Analysis of brushless permanent magnet synchronous motors

    M.A. Rahman;P. Zhou

  • Improved analysis of a bearingless switched reluctance motor

    M. Takemoto;H. Suzuki;A. Chiba;T. Fukao

  • Super high speed electrical machines - summary

    M.A. Rahman;A. Chiba;T. Fukao

  • Test Results and Torque Improvement of the 50-kW Switched Reluctance Motor Designed for Hybrid Electric Vehicles

    M. Takeno;A. Chiba;N. Hoshi;S. Ogasawara

  • Experimental testing of the artificial neural network based protection of power transformers

    M.R. Zaman;M.A. Rahman

  • A direct torque-controlled interior permanent-magnet synchronous motor drive without a speed sensor

    M.F. Rahman;L. Zhong;Md.E. Haque;M.A. Rahman

  • A state-of-the-art review of transformer protection algorithms

    M.A. Rahman;B. Jeyasurya

  • Modeling and protection of a three-phase power transformer using wavelet packet transform

    S.A. Saleh;M.A. Rahman

  • Nonlinear control of interior permanent magnet synchronous motor

    Unknown

  • High-Speed Control of IPMSM Drives Using Improved Fuzzy Logic Algorithms

    M.N. Uddin;M.A. Rahman

  • Development and Implementation of a Novel Fault Diagnostic and Protection Technique for IPM Motor Drives

    M. Khan;M.A. Rahman

  • High-Efficiency Line-Start Interior Permanent-Magnet Synchronous Motors

    Unknown

  • Design and analysis of permanent magnet-type bearingless motors

    M. Ooshima;A. Chiba;T. Fukao;M.A. Rahman

  • On-line adaptive artificial neural network based vector control of permanent magnet synchronous motors

    Unknown

  • Analysis of current controllers for voltage-source inverter

    M.A. Rahman;T.S. Radwan;A.M. Osheiba;A.E. Lashine

  • Performance of interior permanent magnet motor drive over wide speed range

    Unknown

  • Development and implementation of a hybrid intelligent controller for interior permanent-magnet synchronous motor drives

    M.N. Uddin;M.A. Abido;M.A. Rahman

  • Robust and precision motion control system of linear-motor direct drive for high-speed X-Y table positioning mechanism

    Zuo Zong Liu;Fang Lin Luo;M.A. Rahman

  • Radial force in a bearingless reluctance motor

    A. Chiba;M.A. Rahman;T. Fukao

  • Fuzzy-logic-controller-based cost-effective four-switch three-phase inverter-fed IPM synchronous motor drive system

    M.N. Uddin;T.S. Radwan;M.A. Rahman

  • Implementation of an artificial-neural-network-based real-time adaptive controller for an interior permanent-magnet motor drive

    Yang Yi;D.M. Vilathgamuwa;M.A. Rahman

Frequent Co-Authors

Akira Chiba
Akira Chiba Tokyo Institute of Technology
Mohd Basyaruddin Abdul Rahman
Mohd Basyaruddin Abdul Rahman Universiti Putra Malaysia
Nasrudin Abd Rahim
Nasrudin Abd Rahim University of Malaya
M. A. Abido
M. A. Abido King Fahd University of Petroleum and Minerals
Sadegh Vaez-Zadeh
Sadegh Vaez-Zadeh University of Tehran
D.M. Vilathgamuwa
D.M. Vilathgamuwa Queensland University of Technology
Md. Jahangir Hossain
Md. Jahangir Hossain University of British Columbia
Caro Lucas
Caro Lucas University of Tehran
Fang Lin Luo
Fang Lin Luo Stony Brook University
M. Nasir Uddin
M. Nasir Uddin Lakehead University

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Related Online Degrees & Career Pathways

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Additionally, combining technical expertise with management skills can boost career prospects. Pursuing an accelerated online project management degree equips graduates to lead complex projects within engineering domains, merging technical know-how with leadership capabilities.

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