World's Best Scientists 2026 revealed!
Masoud Aliakbar Golkar

Masoud Aliakbar Golkar

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
4936
World Ranking
5796
National Ranking
46

Masoud Aliakbar Golkar 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 Masoud Aliakbar Golkar 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: 166 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Masoud Aliakbar Golkar 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 Masoud Aliakbar Golkar 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: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Best Publications

  • Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation

    Unknown

  • Intelligent power management strategy of hybrid distributed generation system

    Amin Hajizadeh;Masoud Aliakbar Golkar

  • Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method

    Unknown

  • Distribution network expansion considering distributed generation and storage units using modified PSO algorithm

    M. Sedghi;M. Aliakbar-Golkar;M.-R. Haghifam

  • Plug-in electric vehicle batteries degradation modeling for smart grid studies: Review, assessment and conceptual framework

    Ali Ahmadian;Mahdi Sedghi;Ali Elkamel;Michael Fowler

  • Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network

    Hamidreza Jahangir;Hanif Tayarani;Saleh Sadeghi Gougheri;Masoud Aliakbar Golkar

  • Charging demand of Plug-in Electric Vehicles: Forecasting travel behavior based on a novel Rough Artificial Neural Network approach

    Hamidreza Jahangir;Hanif Tayarani;Ali Ahmadian;Masoud Aliakbar Golkar

  • Cost-Benefit Analysis of V2G Implementation in Distribution Networks Considering PEVs Battery Degradation

    Ali Ahmadian;Mahdi Sedghi;Behnam Mohammadi-ivatloo;Ali Elkamel

  • Risk-Averse Optimal Bidding of Electric Vehicles and Energy Storage Aggregator in Day-Ahead Frequency Regulation Market

    Behzad Vatandoust;Ali Ahmadian;Masoud Aliakbar Golkar;Ali Elkamel

  • Optimal bidding strategy of a virtual power plant in day-ahead energy and frequency regulation markets: A deep learning-based approach

    Saleh Sadeghi;Hamidreza Jahangir;Behzad Vatandoust;Masoud Aliakbar Golkar

  • Using Copulas for analysis of large datasets in renewable distributed generation: PV and wind power integration in Iran

    H. Valizadeh Haghi;M. Tavakoli Bina;M.A. Golkar;S.M. Moghaddas-Tafreshi

  • Voltage Control and Active Power Management of Hybrid Fuel-Cell/Energy-Storage Power Conversion System Under Unbalanced Voltage Sag Conditions

    A Hajizadeh;M A Golkar;A Feliachi

  • A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks

    Hamidreza Jahangir;Hanif Tayarani;Sina Baghali;Ali Ahmadian

  • Control of hybrid fuel cell/energy storage distributed generation system against voltage sag

    Amin Hajizadeh;Masoud Aliakbar Golkar

  • Plug-in Electric Vehicle Behavior Modeling in Energy Market: A Novel Deep Learning-Based Approach With Clustering Technique

    Hamidreza Jahangir;Saleh Sadeghi Gougheri;Behzad Vatandoust;Masoud Aliakbar Golkar

  • Short-term wind speed forecasting framework based on stacked denoising auto-encoders with rough ANN

    Hamidreza Jahangir;Masoud Aliakbar Golkar;Falah Alhameli;Falah Alhameli;Abdelkader Mazouz

  • Assessment of optimization algorithms capability in distribution network planning: Review, comparison and modification techniques

    Unknown

  • Nonlinear Modeling of Temporal Wind Power Variations

    Hamed Valizadeh Haghi;M. Tavakoli Bina;Masoud Aliakbar Golkar

  • Optimal participation of a virtual power plant in electricity market considering renewable energy: A deep learning-based approach

    Saleh Sadeghi Gougheri;Hamidreza Jahangir;Mahsa A. Golkar;Ali Ahmadian

  • Fuzzy neural control of a hybrid fuel cell/battery distributed power generation system

    A. Hajizadeh;M.A. Golkar

Frequent Co-Authors

Ali Elkamel
Ali Elkamel University of Waterloo
Ali Ahmadian
Ali Ahmadian University of Waterloo
Amin Safari
Amin Safari Azarbaijan Shahid Madani University
Turaj Amraee
Turaj Amraee K.N.Toosi University of Technology
Behnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo Lappeenranta University of Technology
Gevork B. Gharehpetian
Gevork B. Gharehpetian Amirkabir University of Technology
Miguel Castilla
Miguel Castilla Universitat Politècnica de Catalunya
Jaume Miret
Jaume Miret Universitat Politècnica de Catalunya

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Related Online Degrees & Career Pathways

For those pursuing a career in Electronics and Electrical Engineering, exploring related online degrees can broaden your skill set and enhance career opportunities. Many students consider a project manager bachelor degree, which equips graduates with essential leadership and organizational skills needed to manage complex technical projects.

Working professionals often benefit from flexible learning options like accelerated online degrees. These programs allow students to complete their studies faster while balancing career demands, making them ideal for those looking to upskill without pausing their professional growth.

Advanced education such as a master's in instructional design can open doors to educational technology and training roles within engineering firms, blending technical expertise with the ability to create engaging learning materials.

Additionally, competency-based online colleges offer tailored programs that focus on mastery of skills over traditional credit hours, providing flexible pacing and relevant hands-on experience critical for engineering disciplines.

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